LegalQuants

LegalQuants Founder · 160K+ views on demos · 150+ forks

Funds lawyer in Hong Kong. Started automating fund doc reviews as a trainee in 2020 and mapping retail prospectuses against regulations. When generative AI hit, he built a lot of internal tools that saw widespread adoption globally. Wanting to show that lawyers can build, he recreated the core tabular review feature of platforms like Harvey and Legora in an afternoon, then kept vibe-coding legal tech tools. The demos racked up over 160K views and his open-source repos were forked over 100 times, inspiring more lawyers to build in public and bringing about a vibe-coding movement within the legal community. He has since been featured on multiple legal tech podcasts and founded LegalQuants, an invitation-only community for lawyers who code.

LegalQuants Founder · 70K+ users across apps · Ranked 1st in search for AI regulation tracker

Tech lawyer who actually builds tech. Coding since high school to build computer games and apps for friends. Eventually chose law for a career, but always remained a builder at heart. Worked as a legal engineer at LawPath (legal doc automation platform) and a software engineering secondment at IBM (smart legal contract infrastructure). Best known for being creator of the world's first truly global AI Regulation Tracker which covers AI regulatory updates across 195+ countries and with over 70K active users per month (and a commercialised API which is being used by AI safety institutes, governance platforms and universities around the world). Also the creator of the Synctrainer app and algorithm which analyses dance synchronisation and now used by Kpop and Jpop companies to train their dancers. Awarded Australian 30 under 30 Technology Lawyer of the Year (2023), and recognised as Linkedin Top Voice on AI. Also runs the Data Science and AI Association of Australia.

Building data centers and the apps that use them.

I'm a real estate attorney at a large US law firm. My clients acquire, build, manage operate and sell digital infrastructure. My interests in software development focus on developing tools to both accelerate and improve how lawyers represent their clients in transactional settings. I build tools that facilitate the strongest legal work product in collaboration with human attorneys rather than as a replacement.

Tax Lawyer and Chartered Accountant who enjoys building cross-disciplinary tools to solve tax, legal and finance problems and transform business workflows. Contributor to the AgentArcEval research paper, featured in Acuity Magazine and among the first cohort to obtain Microsoft Certified: AI Business Professional and AI Transformation Leader Certifications in Feb 2026.

Legal tech writer & speaker · Alt + Counsel newsletter · Singapore

Senior legal counsel in Singapore who writes code at night. Built a redlining library in 2021 that ended up in Andrew Ng's DeepLearning.AI course without him knowing — now gets 240,000+ downloads a month from people he's never met. Writes Alt + Counsel, a newsletter on legal tech and AI from inside actual practice. Has contributed to the MinLaw AI Governance Guide, co-facilitated a workshop for in-house counsel, and spoken at Drew & Napier client seminars and SCCE Singapore 2026. Most legal tech coverage is too optimistic or too far from practice. Writes from the inside.

Trainee at a US law firm in London and a self-taught coder. I believe law is at a key inflection point. Because so much of the work is text-heavy and process-driven, it is uniquely well placed for big gains in speed, cost, and quality over the next few years. I would love to help contribute to that shift. (Recognized on Latham's 2025 AI Honors Roll and winner of the Latham Corporate Harvey AI Competition.)

AI Law Pioneer and Thought Leader

One of the leading AI lawyers in the US. 15+ years advising companies from startup to global scale. Currently SVP and Global AI Legal Lead at a leading investment and technology development firm. Previously 10 years at Google — including Senior Product Counsel for AI at Google Research, and five years as de facto General Counsel for 40+ startups at Google's startup incubator. Admitted in five jurisdictions. Fellow of Information Privacy. Co-authored IAPP's AIGP certification course and serves on the AIGP Exam Development Board. Named one of the top 40 lawyers under 40 by Bloomberg Law (2024) and a Rising Star at the New York Legal Awards (2025). Developing legal tech with the help of AI tools — because the best way to advise on tech is to build it.

I'm a competition/antitrust and consumer law lawyer based in Sydney. When I'm not working, I'm tinkering with code — sometimes to solve a real workflow problem I've seen in practice, sometimes just to see what I can build. I'm not a software engineer by training. I picked up programming because I kept seeing things that felt like they could be done better, and I wanted to build the solutions myself rather than wait for someone else to. I'm interested in how AI can genuinely transform legal work — not just speed up what we already do, but change how we approach it. I'm still early in that journey, but I'm learning quickly and building as I go.

Builds every layer: string matching, document diffing, AI redlining, citation verification, multi-agent orchestration

Government lawyer in Singapore who heads a civil advisory practice — and builds document infrastructure on nights and weekends. Self-taught across the stack, from diffing libraries to AI contract review tools, with a focus on encoding legal reasoning into reproducible workflows. Open-sourced office-word-diff, a library that solves a kernel-level problem — deterministic, word-level tracked changes in Word via the Office.js API. Thinks the real dividing line now isn’t between coders and non-coders, but between people with technical judgment and people without it.

10,000+ downloads on Microsoft Marketplace

Technology and games counsel and long time builder who got tired of fighting the legal tech budget and started building his own solutions. Ships “just-in-time” tools — the Gemini AI Word Add-in rivals startup offerings but runs on a bring-your-own-key architecture so data never hits a middleman server. Built reference.legal, an open-source clause library that lets lawyers draft by exception — hyperlink to the standard language, only write what’s different. He is also the creator of PolitePost.net, one of the internet's first viral AI email rewriters, which scaled to serve millions of views a day with a dead-simple, single-purpose interface.

Handling tech disputes and advisory work, building tech products for legal

Disputes lawyer in Hong Kong, qualified across three jurisdictions — England & Wales, Hong Kong, and mainland China. Fudan law grad who ended up doing international arbitration, crypto disputes, and tech advisory. Wrote a piece for the Oxford Business Law Blog arguing that English legal AI is stuck behind a data bottleneck that Chinese researchers don’t have. Built CaseThread so lawyers can analyze judgments with AI on their own terms — bring your own key, keep your own data.

Tech lawyer turned builder in Silicon Valley with an electronics engineering background. Built CounselScope — an open-source platform that turns scattered legal department knowledge into a queryable system with expiration tracking, so outdated guidance doesn’t get recycled into current work. Spent two decades as product counsel at Amazon Lab126, Facebook, and Instacart before founding Tucuxi to build domain-specific AI that trades breadth for native fluency. Publishes on geometric consensus, full-stack product counsel, and why most legal departments don’t have a knowledge problem — they have a forgetting problem.

Lawyer and former software developer in Canada who advises legal organizations on AI-driven transformation and agent-based systems. Brings a systems-level perspective to legal operations — focuses on moving organizations from isolated tool experiments to cohesive, strategy-led technology ecosystems. A deliberately design-focused thinker who works with senior leaders to implement AI strategy, governance, and agent-enabled workflows. Built a PDF Editor Agent — a web app that edits PDFs through natural language instructions, powered by an AI agent that handles the structural manipulation.

Restructuring lawyer in London interested in how AI can fix the inefficiencies that slow legal practice down. Started building tools to solve my own problems, including a UK Companies House reference platform grounded in live company data, built in a matter of days and now used by hundreds of lawyers and advisors. Now exploring fixes to real pain points legal professionals deal with daily and shipping tools that solve them.

I'm a tech enthusiast and ex-lawyer based in Rotterdam. I started as a software engineer, took a detour through law, and eventually realized I'd rather build tools than draft contracts about them. My career has zigzagged a bit: I founded a digital agency, got curious about law, and spent years as a technology lawyer at a big law firm. That gave me a front-row seat to how legal professionals actually work, and more importantly, where they get stuck. Now I'm back on the tech side as Head of Technology at HVG Law, EY's strategic partner in the Netherlands, and I'm an AI Business Fellow at Perplexity. My time is split between practical AI implementations, mentoring startups focused on social impact, and writing and speaking about legal tech. Over the past few years, I've evaluated dozens of legal AI tools, built multiple internal prototypes, and created a benchmark to test how much difference there is between generic AI solutions and purpose-built legal ones. Spoiler: the gap is often smaller than vendors would have you believe. When I'm not teaching tech to lawyers, you'll find me building a homebrew pinball machine at a local hacker collective (my dad handles the electronics while I do the code), experimenting with holographic art installations, or playing basketball. I also have strong opinions about sustainability, so ask me about them at your own risk.

Former insolvency lawyer now working as the Manager of the Credit Management & Debt Recovery team at New Zealand's largest construction & building supplies firm. Growing interest in AI to solve real issues in the workplace, especially for non-legal professionals.

Building a better lawyer

Appellate AI Tools · Litigation Risk · LLM Consensus

Former litigator with a decade of courtroom experience turned backend engineer and LegalTech architect. After 10 years of navigating the unpredictability of the court system, I transitioned into software development to build systems that replace legal intuition with computable data. A pragmatic developer (PHP for business logic, Go for high-load parsing, Python for LLM tooling and experimentation) who builds tools to solve the exact problems I faced in practice. Currently developing Lexometrica.com - a predictive analytics engine that evaluates the success probability of appellate court decisions. Recently published research exposing LLM "sycophancy" in legal analysis, proving that AI models artificially inflate a lawyer's chances of winning when fed biased arguments, and designed a multi-model consensus architecture to neutralize it.

Tools rolled out globally to 4500 lawyers

I've been a practising lawyer for over eight years, starting my career as a banking lawyer at a Magic Circle firm. Three and a half years ago, when ChatGPT launched, I pivoted and became one of the firm's first AI Lawyers - a role that didn't exist before I asked to be sent on secondment. I now lead a team of AI lawyers, driving the adoption of AI across our global banking practice and coding prototypes that have been productionised and rolled out firm-wide. I'm at my best at the intersection of legal practice and building things.

I am an Intellectual Property attorney with a STEM background. I am passionate about new technologies and building and tinkering with software and hardware in my spare time.

Mind over matter

Build the best legal AI tool

Between hackathons and pandemic-era coding bootcamps in her livingroom, Sanchez started creating simple scripts to save time on repetitive tasks, inadvertently becoming a champion for AI adoption. Now she's happily vibe-coding her way towards half-baked ideas that might just work.

Injecting AI into Pharma Law

I'm an in-house lawyer exploring what's possible when domain expertise meets AI. I started vibe coding to see if I could build tools that solve real problems in regulated industries. Still learning. Curious about everything.

I'm a sports and media lawyer based in Singapore, working across the APAC region on media rights, sponsorship, commercial agreements, and governance. I've spent over 18 years advising on complex cross-border deals in sport and broadcasting, including Olympic rights, global federation partnerships, and major sponsorship arrangements. Outside the day job, I build things. Punters Republic is a sports tipping platform I developed from scratch using AI-assisted tools. A Casual Coffee is a professional networking pairing platform gaining traction with in-house legal communities globally. Sullivan Jade Advisory is a live consultancy website I built and deployed end-to-end. Fashion Fantastic is a personal AI styling app I'm building with my daughter. My tech stack is Claude Code, GitHub, Cloudflare (hosting and email routing), Supabase, and Resend or Brevo for transactional email. I'm interested in what happens when lawyers stop waiting for technology to arrive and start shipping it themselves.

Building open-source legal ops and other tools with AI (and a few passion products that might go commercial)

Deputy General Counsel by day, legal tech builder by night. I design and ship software that solves real in-house legal pain points — contract lifecycle management, privacy compliance, vendor risk, and team operations. I've open-sourced 28 tools for in-house legal teams and built Legal Flow, an enterprise platform that unifies them into one workspace. My stack is TypeScript, Next.js, and Claude AI. I believe the lawyers who build their own tools will define the next era of legal operations. I do this for fun.

also State (of the Art) Counsel

Sze Yao is a Government lawyer in Singapore, and is passionate about bridging the gap in AI takeup between the private and public sectors. A millennial born during a slower age in 1982, he has found it a change of pace to keep up with the pace of change in legal tech. The journey has been equal parts disquiet, exhilaration and optimism. Sze Yao read law at and graduated from the University of Cambridge with Double First Class Honours (2003, 2004) under a Singapore Public Service Commission scholarship. He was further sponsored to read for an LLM at Columbia University, where he graduated as Harlan Fiske Stone Scholar in 2005. In 2012, Sze Yao was jointly funded for his second LLM at Kyushu University by the Japanese and Singaporean governments, where he graduated top of his class. Sze Yao is now interested in a different type of LLM.

Ali is an intellectual property, technology and digital regulation lawyer based in London. He studied Philosophy, Logic & Scientific Method at the London School of Economics before qualifying as a solicitor. Ali's has a long-standing interest in technology. As a teenager, he built computers, ran gaming communities and maintained his father's business website. Today, that interest has narrowed to a specific question. How can AI and technology meaningfully extend what individuals can do on their own? As the first in his family to attend university, and the son of Iranian migrants, Ali actively supports widening access to the legal profession, and is interested in the role technology can play in levelling the playing field for underrepresented groups. Outside work, Ali trains in boxing and weightlifting.

I’m Julian Bryant, a San Diego attorney working at the intersection of law and technology. My path started at the University of Notre Dame, where I studied Japanese and Computer Applications. This led to seven years in Okinawa, Japan—first with the JET Programme and later developing software for the Navy Marine Corps Intranet (NMCI). After returning to the U.S. to earn my J.D. from Georgetown Law, I briefly practiced venture capital law at Cooley. Realizing my passion lay elsewhere, I returned to tech to build iOS applications both at a digital agency and through my own company. In 2022, the sudden passing of a friend without an estate plan changed my trajectory. Navigating the probate process for their family showed me the profound impact I could have, prompting my return to legal practice. Today, I bridge these two worlds by building legal tech applications. I develop custom tools to optimize my own practice and automate workflows, with the ultimate goal of creating scalable solutions that help other attorneys provide more efficient, accessible service to their clients.

Solicitor qualified in England & Wales (2024) and Canada (2021) with an LLM in European Law from the University of Cambridge (First Class – top 10%) and a strong economics background. Broad experience spanning legal practice, public policy, and academia across five jurisdictions: England, the Netherlands, Canada, the United States, and Brazil. Focus on UK competition litigation, data privacy, and AI. Work spans the full lifecycle of complex litigation – from business development and early-stage funding strategy to procedural applications, disclosure, and settlement – in the context of collective proceedings before both the High Court and the Competition Appeal Tribunal.

Building an agentic workforce to support lawyers

Recent Ontario Bar Call and certified privacy professional. I am passionate about building AI automations into lawyers' workflows to save us time and strengthen the representation of our clients. Privacy by design is incredibly important to me in creating secure applications. I have a keen interest in developing legal tools directly inside LLM workspaces

Turning regulatory complexity into structured, computable legal workflows

I'm Legal Counsel at Capgemini in Germany (dual SME in AI governance and EU cybersecurity) and Of Counsel at Planit Legal, a boutique IT and data protection firm in Hamburg. Day to day, I work across EU digital regulations and complex technology transactions. I started building legal tools out of interest&frustration: regulatory requirements scattered across dozens of instruments, no practical way to operationalize compliance, and a persistent gap between legal advice and business implementation. That turned into several AI-enhanced tools covering contract analysis, cross-regulatory compliance mapping, and automated regulatory monitoring. I'm currently developing a modular AI skill library for legal workflows, a RAG pipeline for EU legal documents, and running AI service pilots at Capgemini. What draws me to LegalQuants: I want to be part of bringing Legal to code and the digital age, as I believe it is the next level of our practice. I'm looking for people who think the same way and want to learn from what others are building.

i build stoke

Started my big law career in the Uber v. Waymo litigation, ended it in tech transactions. Started and raised venture for Inkly (failed). Hard pivoted to music tech (secretgarden.fm), bootstrapped to $2m, lost it all to FTX fraud, hard pivoted to AI videos (kaiber.ai), boostrapped to $8m ARR, creative projects for Linkin Park, Kid Cudi, Coachella, Boiler Room. And now I'm back building in legal.

Tech Executive || Aligning Stakeholders || Identifying Broken Processes and Solving Complex Problems

Experienced operations and legal executive in the SaaS space. Collaborative and cross-functional leader and organizational problem solver. I was a software developer before law school and have always loved technology. Excited for legal 2.0, where all attorneys (at least the good ones) are bionic. Admitted to practice law in NY & CA. CIPP/US (Privacy) certified.

Bringing AI into high-stakes commercial litigation - as a tool, not a substitute.

I am a Solicitor Advocate at Stewarts specialising in high-stakes cross-border litigation, regulatory investigations and complex fraud. My practice is unusually dual-skilled: alongside the law, I work in Python, generative AI, blockchain and Linux. I hold a Certified Junior Penetration Tester qualification - an ethical-hacker grounding that translates surprisingly well to how modern commercial disputes need to be approached. I spearheaded one of the first-ever GenAI solutions in the Commercial Court. The work included building a custom OCR and GenAI processing pipeline over 100,000+ PDFs and an in-house machine translation tool built on top of it. Earlier, I was part of the team that delivered the first fully virtual trial in the Commercial Court - a hearing widely recognised by judges, experts and the press as a watershed for remote justice. I now sit on Stewarts' GenAI Committee, guide the firm's AI strategy and have independently developed three AI software tools deployed inside the firm.

If you can imagine it, you can build it!

Corporate compliance consultant specializing in criminal liability prevention, anti-corruption, and investigations. He has spent 8+ years designing compliance programs across multiple organizations in different sectors. Got into vibe coding about a year ago because compliance workflows were begging to be automated. That led to building ClearTrace, a compliance intelligence platform that pulls together real-time sanctions screening (OFAC, EU, UN), cybersecurity analysis, AI-driven deep research, and interactive investigation graphs into one place. Turns out, when you understand the pain firsthand, you build better tools to fix it. More projects are on the way!

I'm a corporate lawyer by profession, but an entrepreneur by design. I've practiced law in various settings (BigLaw, Inhouse at a Bank, Counsel for Venture-backed startups), am a Venture Partner at a VC Firm and used to run the Legal Tech chapter of a global pre-seed accelerator. I'm also launching my own Legal Tech (currently in stealth).

Change, Demystification, Happiness

I build high performance teams with a scalable impact, facilitated by technology. I grew up on a farm, with no lawyers in my family. While this outsider positioning was a significant hindrance on arriving in the world of Big Law - a place where everyone but me seemed to have a very clear idea what they were doing, and where I once got thrown out of the office for wearing the wrong shoes - it has been a superpower in my in-house life.

Building open-source AI workflows for legal professionals

Compliance Manager in an International Engineering Group, deployed compliance programs across 150+ entities, supervised 2,000+ annual due diligence screenings, advise on international sanctions, AI Act, Anti-Corruption and Competition Law. I kept hitting the same wall: legal AI tools are closed, rigid, and built by people who've never run a compliance program. So I started building my own. You will find below: - AI learning module for legal specialists - AIS Risk Assessment AND Economic Sanctions analysis workflow - A RAG builder (if you don't know what it is, check the learning module) Law degree. Writes code. Ships products.

Dual-class lawyer/hacker

I was a software engineer before I found my way to law. My first job in law was as a legal assistant at a boutique IP litigation firm in Silicon Valley. It wasn't long before I brought grep to bear on discovery, and began to understand just how much opportunity there was throughout the industry. I was then recruited to join a project at Stanford, where I built a PACER crawler and the first prototype of what later became Lex Machina. Then I went to law school, returned to that firm, launched my own solo practice for startups, and, eventually, found my way to a legal tech R&D team at Airbus. A few of us spun that out as co-founders of Syntexys, a contract analytics startup with strong NLP and pre-LLM AI chops. These days, I'm an in-house trademark lawyer, which is a practice area I have always enjoyed. I'm on the board of Free Law Project, and have never stopped programming since I started at age 10.

"A ship in harbour is safe, but that is not what ships are built for"

I am passionate about building enterprising, AI-fluent lawyers. I build AI tools to solve real world problems and strongly believe that the lawyers of the future are multifaceted strategists capable of helping clients see around corners legally, commercially, and pragmatically. I am a firm believer in shipping novel products to market and iterating in line with user feedback, building ideas from concept to execution, and collaborating with mission-driven colleagues toward mutual objectives. I was among the inaugural cohort to earn the AI Strategy for Legal Leaders Certification (Executive Education) at Stanford Law School.

Turning legal noise into action

I’m an in‑house legal leader who has spent more than two decades at the intersection of M&A, strategic growth, and technology – from London investment banks to my current role leading the legal teams behind Xero’s new products, technology, ecosystem and corporate transactions. I specialise in working inside the business to manage risk commercially while helping set and deliver on strategy. Both in my day job, but also as President of New Zealand's Inhouse Lawyer's Association (ILANZ), I see every day how in‑house lawyers are drowning in updates – cases, regulations, guidance and law firm insights – with very little tailored to their role, industry and jurisdiction. That frustration gave me the inspiration to use AI tools to prototype products that turn raw legal information into personalised, actionable intelligence for real in‑house teams. For the LegalQuants Hackathon (Cohort 2), I built The Briefcase – an AI‑powered legal update app that learns who you are, what you work on and where you operate, then curates a digest of only the most relevant developments, with feedback loops to keep improving over time. I’m here to connect with others who want to do the same for in‑house lawyers globally: using AI, product thinking and legal judgment to give lawyers less noise, more signal and a bit more breathing room.

Lawyer and dispute-resolution leader working at the intersection of law, technology, and organisational trust. My experience spans employment law, workplace and institutional investigations, ombuds practice, and legal technology. I’m especially interested in how emerging AI can support fairness, credibility, and better decision-making in law, dispute resolution, compliance, and workplace systems.

Funds

Work in fund house in daytime and build all sorts of weird projects at night (if not vegging out in front of TV). Before the AI era, was obsessed with IOT and built some gadgets for fun. Now busy building tools with AGI and learning all sorts of AI techniques to get myself “retired”

Technology rewards expertise. It doesn't substitute for it.

I've spent the better part of a decade in information security, first in consulting, now leading a security team in-house at a European asset manager. Highly regulated environments suit me. I like complexity, and I've never been someone who could stay in one lane. Over time, my work naturally expanded beyond the technical. Managing vendors, reviewing contracts, collaborating with legal counsel and procurement, these became as much a part of my day as threat models and audit trails. When my employer asked me to lead the introduction of AI governance, it felt less like a new direction and more like everything I'd been working toward converging at once: security, compliance, legal thinking, and the practical question of how AI actually gets used responsibly inside an organisation. That interdisciplinary pull is what eventually brought me to legal technology. I enrolled on an LL.M. in Legal Tech in the summer of 2025, having already spent years on the fringes of the legal world without the formal language to describe it. My academic background is a mix of engineering and social sciences, which probably explains why I'm more interested in how systems interact than in optimising any single one of them. What I'm building now is Scrutio, a regulatory contract compliance platform for EU financial institutions, born out of the LegalQuants Hackathon. It sits exactly at the intersection I've always worked in: security, regulation, contracts, and AI, brought together into something useful. My goal is to contribute to a world where legal technology, governance, and (financial) regulation are treated as what they already are: deeply connected.

Increased velocity, decreased admin burden

I'm the Head of Legal at Juniper Square, - A tech-enabled services company providing the operating systems and back office support for private funds. I've always been into tech and coding, from messing around in BASIC as a kid, to hosting a Counter-Strike server out of my dorm room from a linux box I built myself (Debian!) awhile studing neural networks as a CogSci major at UC San Diego. I went to law school thinking I'd get into patent law, but ultimately found it wasn't the right fit for me and pivoted to working in-house at tech companies. I'm excited to get back into the builder side with AI.

Mobile Devices | B2B SaaS | Insurance

I lead a legal and compliance team across Asia, with extensive experience in the mobile device, B2B SaaS and insurance sectors. Interested in AI transformation for the legal department, and building tools for better decision making and efficiency. Because lawyers who build tools can embed their judgment into systems and scale their impact.

Currently helping creative professionals record attribution, IP licenses, and AI training permissions with MONOLITH (joinmonolith.com)

I am passionate about the intersection of commerce, regulation/public policy, ethics, technology, and law. In addition to my work with Stability, I serve on a few committees for the Law Society of Singapore, including as co-Chair Tech & Innovation Comm and co-Vice Chair GenAI Comm. I am also part of the IMDA Working Group on Legal Responsibility for AI Agents, and represent Stability on the AI Verify Foundation. I have direct, real-world experience with Agentic AI, including designing Agents, complex multi-agent workflows, guardrails, and risk management.

Tax Litigation Lawyer admitted to the Athens Bar Association, holding two LL.M.s in Tax Law and an LL.M. in Financial Crime Law. I focus on tax controversy issues, representing clients before tax authorities and administrative courts. My journey into technology accelerated with the release of ChatGPT. Since then, I have been closely tracking the evolution of AI capabilities. As the gap between technical and non-technical users rapidly narrows, I saw a unique opportunity to bridge the traditional legal world with cutting-edge technology. This shift allows me to directly translate my deep legal and financial expertise into building practical applications. My goal is to automate demanding workflows and facilitate the heavy daily routines of legal practice. I am incredibly excited about what the future holds and the ongoing evolution of this space.

always exploring and seeking after knowledge

I am a technology counsel and qualified lawyer with 10+ years of post-qualification experience, focused on bridging the gap between complex legal frameworks and digital innovation. For the last four years, I’ve been working side by side with engineering teams to build Italy's digital public infrastructures, embedding privacy by design throughout the entire software development lifecycle. Since the late 90s, I've been a hobbyist coder and a curiosity-driven geek. This has allowed me to build an extensive knowledge of IT systems, spanning from hardware and software to networking and cloud architectures. I’ve always built my own tools - long before it was mainstream - but today, AI coding assistants are giving me the boost in time and abilities I've always needed to pursue my product ideas. They empower me to build exactly what I want, allowing me to approach legal challenges with the developer mindset I've cultivated. Throughout my career, I've tried to connect the dots between my passion for technology and my legal studies, and I feel like I'm getting nearer to that perfect intersection every day.

Bridging AI and cross-border investigations and compliance legal expertise

Trained in both US and Chinese law, I have spent a over a decade bridging two legal systems, two cultures, and two regulatory worlds, advising multinational companies on their most complex cross-border challenges: corruption issues, money laundering exposure, sanctions risk, and export controls, with a focus on China and the broader APAC region. Now I am bringing AI into that space - rethinking, refining, and redesigning how cross-border investigations and compliance work gets done. Starting from zero programming background but with a fully activated inner nerd , I have moved from prompt engineering and deploying AI agents for my professional and personal lives to building full-stack, API-integrated legal tools with real databases, streaming outputs, multi-step agentic workflows, and persistent case file architecture. The legal logic embedded in these tools reflects over a decade of practice. My work sits at the intersection of US-APAC legal expertise and hands-on AI adoption. I share what I learn and build and am always interested in connecting with other like-minded practitioners!

Legal professional innovating amidst the evolution of legal tech

Passionate in vibe-coding and studying of mainstream legal tech tools, currently a financial compliance counsel and a hobbyist of UI/UX aesthetics. I have experience in innovating AI-powered workflows that aid compliance pain points for in house counsels in various industries. After completing the Legal Quants hackathon, I am actively exploring how large language models can be applied responsibly to compliance workflows, such as global regulation tracking, document analysis and multilingual client communication.

About Me I work at the intersection of law, compliance, and decision design. As VP, Deputy General Counsel, and Head of Business Integrity at Docusign, I focus on a simple but often overlooked question: not whether organizations have good intentions, but whether their systems are designed to support good decisions in the moments that matter. My career has spanned public service and global companies, from the United Nations and the U.S. Securities and Exchange Commission to leadership roles at Disney, Snap, Zendesk, and now Docusign. Across each of these environments, one pattern has remained consistent: breakdowns in integrity are rarely the result of bad actors. They are the result of decision environments that are not built for the scale, speed, or pressure of modern business. My work centers on closing that gap. I focus on building decision-useful compliance systems that help organizations move swiftly, safely, and strategically. This includes rethinking compliance as a navigation layer, designing for threshold moments where judgment matters most, and translating values into practical decision architecture that holds under pressure. I am the author of The Decision Intelligence Gap: From Intention to Execution Through Everyday Decisions and co-author of The Art of Implementation: For Culture Builders. My work explores how organizations can operationalize integrity, not as a principle, but as a system. I am particularly interested in how emerging technologies, including AI, can serve as partners in better decision-making, not just automation tools.

Transforming legal work with technology

Working towards a future of AI bilingualism, where legal and other domain expertise meets native tech fluency so we break the trilemma of fast, cheap versus good. Let's build the solutions we wish existed. Our tools, our way.

I'm a lawyer at Fremantle Australia, having previously worked at the Australian Broadcasting Corporation, PepsiCo, and Hillsong Music. In all my roles, I've always been involved in legal operations and technologies to some degree. Also, who would have thought that learning coding through a video game years ago would lead me to develop legal AI tools that drive efficiency for legal teams? The intersection between law and technology has always fascinated me, and I am constantly looking to learn more about emerging technologies, their implications for privacy, and the future use cases of AI. Possibly a controversial opinion, but I do not think AI will ever replace lawyers - only those who do not know how to use it. Just like how every lawyer now uses a computer, every lawyer will soon use AI.

Applying AI to Modernize Patent Practice

I joined LegalQuants because I’ve always believed that legal professionals should be builders — not just consumers — of the tools that shape our work. That belief came into sharp focus during the recent LegalQuants Hackathon, where I spent the weekend creating a fast, automated trademark‑clearance prototype. With a simple workflow built in Replit, I designed a lightweight system that runs three parallel checks on a proposed mark: 1. Name‑variation analysis to catch confusingly similar terms 2. Web search to identify real‑world use 3. USPTO Trademark database queries to surface existing filings In my demo, I ran the name “OmniFlow” for a hypothetical water bottle. Within seconds, the prototype generated a high‑risk assessment — driven by identical marks already registered for related goods and corroborated by web evidence. It wasn’t a production system, but it was a clear reminder of what’s possible when legal reasoning meets accessible coding platforms. More importantly, it showed how quickly ideas turn into prototypes when legal professionals are given the space, community, and encouragement to build. That’s what brought me here: a community that believes in experimentation, shared learning, and the power of hands‑on innovation. Huge thanks to Jamie Tso, Raymond Sun, Rocky Li, and the entire LegalQuants team for creating an environment where legal technologists can stretch, explore, and create.

Lawyer by training, builder by instinct: Crypto counsel building tools that think like a lawyer

I build and shape the legal function within the world’s largest independent crypto data aggregator, CoinGecko. My role spans the full legal spectrum, from drafting and product counselling to regulatory compliance and legal operations, where efficiency and clarity are critical to supporting a fast-moving business in the ever-evolving web3 space. Operating at this intersection, I’ve learned that traditional legal approaches alone are not enough. Working smart is not optional, it’s essential. That’s where AI and systems thinking come in. Inspired by our product and engineering teams, I began vibecoding as a way to better understand how they think and to speak their language more effectively. What started as a learning exercise has since evolved into building tools of my own, bridging legal judgment with product thinking. Today, I’m developing solutions ranging from crypto analytics tools (such as token pump detection models built on multiple data signals) to applications that assist with contract review and redlining. More broadly, I’m focused on creating tools that help individuals and businesses navigate the rapidly evolving regulatory and industry landscape in crypto and fintech. My goal is simple: to turn legal from a reactive function into a scalable, productised system—one that enables better, faster, and more informed decisions.

Creating Ethical Legal AI

Before law school, I began my career as a lobbyist for Fortune 500 companies. After law school, I worked for two large renewable energy companies. In 2025, I joined forces with my dad Gene Kaufmann to form Kaufmann Law. Our practice focuses on estate planning, business law, real estate law, asset protection, trust litigation, and personal injury litigation. Now, we’re building AI legal tools to better serve our clients. I’ve always been interested in computers and spent my youth hacking computer games with programs like Java. Now, I’m hacking the law to create a more efficient, accurate, and ethical ways of practicing the law.

BigLaw litigator using AI to build business development pipelines

Special Counsel in Milbank’s Litigation & Arbitration Group. Yale Law, Second Circuit clerkship, 15+ years of securities fraud, market manipulation, and regulatory defense work. Over the past three years I’ve enjoying learning how to build legal software using frontier AI models. I’ve shipped working prototypes for securities fraud case origination, fraud detection, and an emergency immigration habeas tool (as part of a pro bono project). I’m Interested in the intersection of litigation and AI-driven case evaluation, and in how lawyer-builders can capture value and create tools that software vendors cannot.

Solicitor - Web dev - Data analytics - Legal ops

Tech lawyer specialising in ICT procurements and software technologies. I've been programming for over 5 years now, from data analytics, to creative coding, to web development. My current side quest is to make drafting contracts easier, more open, and more programmable. I also co-developed Lendlease's legal tech stack for a couple years before becoming a lawyer. I'm big on running, cooking and coding. Statistics guy at heart (econ degree).

From employment and industrial relations lawyer to in-house legal and compliance counsel, and most recently as a regional data privacy officer. Bringing cross-disciplinary expertise spanning corporate, commercial and labour laws, regulatory compliance, risk management, and data privacy, built through years of practice across both private and corporate environments. Currently bridging into AI governance and technology, where deep legal expertise meets the frontier of innovation.

I got into coding when my calculus teacher saw the programs I created on graphing calculators and urged me to take the AP Computer Science class. A few detours later and I ended up in law, but stayed involved with the tech side, spending a couple of years at an AI legal tech startup and now managing the tech stack, automations, etc in house. Vibe coding has rekindled my interest in coding now that the drudgery is stripped away, and the legal field is ripe for an explosion of tech advancements.

Bringing creativity to law, humanity to tech, to inspire growth and change

Senior Legal Counsel at a large UK bank, where I support several businesses in the commercial bank and lead AI and legal-tech adoption for my team. My work sits at the intersection of law, innovation, and change — from advising on emerging invoice finance models to building tools that help legal teams work smarter. I’ve spent years helping organisations navigate the gap between how legal has always worked and how it could work — leading the Bank’s first legal chatbot, building an intake-to-mobilisation tool at LegalQuants’ own hackathon, and mapping AI workflows so my team can use these tools with confidence and judgment. What drives me is the belief that lawyers shouldn’t just adapt to change — they should shape it. I came to legal tech not from a purely technical route, but from wanting to bring creativity to legal — to inspire growth, spark new ways of thinking, and be part of something that genuinely moves the profession forward.

Counsel at the intersection of law, technology, and innovation When the precedent hasn’t been set yet, we get to write it

I help organizations navigate the messy, fascinating intersection where law meets cutting-edge technology — making sure innovation doesn't just move fast, but moves thoughtfully. I work with teams building AI systems and new platforms, helping them do it legally, ethically, and sustainably. Think translator, strategist, and early warning system rolled into one. The work sits at the crossroads of law, technology, and business strategy. I'm not just interpreting today's rules—I'm helping teams anticipate what they'll need to consider tomorrow. It's about seeing around corners and turning complex legal frameworks into practical guidance that actually helps people build better products. What drives me is this: you don't have to choose between innovative and responsible. The best solutions happen when you bring legal thinking in early—not as a roadblock, but as part of the design process. Whether that's embedding privacy into product architecture, structuring partnerships for responsible scaling, or developing AI governance frameworks that teams actually want to follow.

finding the through line is my (professional) everything

Lawyer since 2012. Trained in litigation, wired for systems. I started as a law clear at the South Carolina Supreme Court clerkship and, subsequently, as a litigator and trial lawyer for the next five years. From that experience, I know how decisions actually get made under pressure. Then I shifted from practicing inside the system to rethinking it: founding a lawyer coworking space, digging into law practice mechanics, and getting obsessed with how legal workflows scale (or don’t). In-house, I’ve applied that lens across both risk and revenue. I’ve managed litigation for a regional mortgage brokerage and now lead commercial and product go-to-market legal at a venture-backed HR tech company, helping build the legal infrastructure that has supported growth from $8M to $100M ARR. I operate in the gaps between legal, product, and revenue, where ambiguity is high and leverage matters. I push past artificial constraints, but not for the sake of it, only where it drives better systems, cleaner decisions, and faster outcomes. I’m most engaged when the problem is complex, the path isn’t obvious, and the answer needs to be built: not found.

I am a commercial legal counsel in fintech. In a previous life, I was an IP and Tech lawyer in private practice. I have always been a big fan of optimisation in life and discovering life hacks. The journey of uncovering a shorter path to my goals has always brought me great joy. And then AI arrived and made every path shorter. My immediate goal is to build a bunch of workflows and tools that do half (or ideally all) of my day job, freeing me up to embark on more AI related side quests in life.

Problem solving is my jam

I have always enjoyed thinking about how to do things differently and better, in legal practice as in life. Being able to build the tools you want and need is incredibly empowering. I am a senior disputes and regulatory enforcement lawyer. Before moving inhouse, I worked in several top tier private practice firms in Australia. Prior to my career in private practice, I was a policy professional and diplomat.

Using AI to Build Tools for Patent Attorneys

I'm a U.S. patent attorney with a background in computer engineering. Over the past several months, I've been using Claude Code to build tools for patent work: USPTO and BigQuery search skills, an examiner intelligence dashboard, a patent landscape report generator, a filing-package QC tool, and an AI assistant that joins patent disclosure meetings to help with real-time question coverage. What drives the work is the same idea behind all of it: patent practice is full of small, fixable inefficiencies that compound across a portfolio, and the tools to address them are finally within reach for individual practitioners.

Automating the 80/20 principle

I'm Senior Counsel at Clipboard Health, where I wear multiple hats as head of Commercial, Product, and Compliance. Before this I spent 8 years as a federal prosecutor, and earlier in my career worked in-house at Facebook and as a Privacy and Cybersecurity associate at Holland & Knight LLP. . I believe lawyer-built tooling is the next frontier of the in-house profession. For years, customized legal tech meant a vendor contract, an engineering ticket, or a long wait for something that is tailored to how your business operates. AI has collapsed that loop. A lawyer who understands the business, the risk, and the workflow can now build the tool themselves, faster, and specific to the use case.

Dual LL.M. Distinction (KCL · Bocconi) · Law by day, code by night

Builder at heart. Was programming in C and Python during law school long before genAI hit, and have never stopped since. Law by day, code by night. During my initial law studies at WU Vienna, I took every AI and legal-tech elective offered and wrote my Master's thesis on AI training data, but what I loved most was happening at night. At École 42, a project-based programming school with no lectures and no professors, I taught myself programming from the ground up. I built a Bash shell replica from scratch (pipes, signals, and all) and two graphical video games, spending many nights debugging programs that crashed unexpectedly and deciphering intricate 1970s C documentation until they finally worked. I kept building throughout law school, including building agentic AI systems at UN, UNIDO, and KCL hackathons. The two threads finally came together when I enrolled in the first-of-its-kind Dual LL.M. in Law, Innovation, and Technology at King's College London and Università Bocconi, where I was supported by a merit-based scholarship and graduated with Distinction. I still code by night, following every release, reading every interesting repo, prototyping constantly with Claude Code and the Agent SDKs. By day, I am a TMT Associate at Wolf Theiss advising international clients on data protection, AI, and cybersecurity. I am also a core member of the firm's legal engineering and digital transformation initiative, where I shape strategy and roadmap development and develop LLM-based solutions (Agent SDKs, workflow orchestration, tools, MCP servers, etc.). I am working closely alongside lawyers, IT, and operations. The hard part is never to prototype, it is building solutions that attorneys actually trust and adopt.

English financial services lawyer having fun

I'm an English solicitor in financial services. I'd been avidly following other legal vibe coders for a while before realising the only way to actually learn was to build something. First project: an NDA tracker that pulls key fields from uploaded contracts using AI, flags positions you deem to be high/medium risk, and keeps everything reviewable by a human. Still early, still learning. Next on the list is a tax efficiency options calculator (not financial advice!) for English employees.

I'm Legal Counsel at Blossom Capital, Europe’s leading dedicated Series A VC firm, with $1.5bn AUM, renowned for its high-conviction strategy. Blossom brings relentless belief and powerful support to Europe's most audacious founders, our breakout unicorns include Checkout, Moonpay, Pigment, Tines & Harmonic. My work spans the full investment lifecycle — from negotiating term sheets and financing documents across multiple jurisdictions to supporting portfolio companies with ad hoc legal queries and exit documentation. The role sits at the intersection of law, technology investment, and fund management, which means I think a lot about how AI is being built and deployed — not just as a regulatory matter, but as an investor in the companies building it. I came to this hackathon without an engineering background and with a specific practical problem: Blossom's portfolio companies needed a clear, structured way to understand their obligations under the EU AI Act. The regulation is consequential, its risk tiers matter, and most existing resources don't translate well for founders who need to make implementation decisions, not pass a compliance exam. So I built one. Using Claude's API and Replit, I put together the EU AI Act Navigator — a tool that walks users through prohibited practices screening, risk tier classification, role determination (provider vs deployer), and gap analysis, then generates tailored compliance guidance based on their specific system and context. No prior coding experience. Just a problem worth solving. The hackathon has been an awesome introduction to what's possible when legal expertise meets the right tools, and I'm looking forward to continuing to build — and to being part of the inspiring LegalQuants community while doing it!

Building the TurboTax for Campaign and Election Compliance — making political participation accessible to everyone.

I'm a senior associate at a large international law firm and an attorney working at the intersection of political law and legal technology. My practice spans campaign finance, lobbying, gifts, and ethics compliance. Before practicing law, I ran business development at Rally.org, an online political fundraising platform, and served on the communications team for Obama for America — so I've seen firsthand how procedural complexity disadvantages grassroots participants. In law school, I was a summer associate at Google. That experience is what drives Campaign Comply. Most compliance tools are built for well-resourced campaigns with professional staff. I'm building the infrastructure that lets a community organization, a first-time candidate, or a small political club navigate California's 500+ local jurisdictions without a lawyer on retainer. Beyond the product itself, my technical focus is on advancing AI-assisted local statutory and regulatory research — specifically, the challenge of extracting structured, verifiable legal data from the fragmented and inconsistently codified world of municipal law at scale. Throughout my career have been active in nonprofit organizations and advocacy groups. I currently serve on the board of directors of the Claremont McKenna College Alumni Association and am a partner of the Truman National Security Project.

Learn, connect, and make legal work better

Argentine lawyer by training, intrapreneur by nature. I work in legal transformation at a large financial institution, but what truly drives me is finding creative ways to solve problems that others have learned to live with. I'm passionate about Legal Ops, about understanding how things work - and how they could work better. I enjoy connecting with people, learning from different perspectives, and turning those conversations into something useful. Always curious. Always building. Always looking for the next problem worth solving.

Have fun with it

Passionate Privacy and AI legal professional (love my job!), always looking for creative ways to rethink how we approach our work. I’m particularly interested in how emerging technologies can reshape the way we navigate privacy and regulatory challenges, and how we as a profession can adapt to stay ahead. Constantly learning, experimenting, and building — and most importantly, having fun along the way!

Solving patent invalidity

Building a patent invalidity firm from the ground up. Harvard Law, UC Berkeley EE & CS, former Federal Circuit and Delaware clerk, ex-Orrick patent litigator. Argued for Apple, Cisco, Micron, and PayPal in court. Covered in the New York Law Journal for a precedent-setting pro bono win. 1000+ commits in 2026.

Complex legal challenges – clear operational actions (LQ Hackathon 2)

Legal isn’t a cost centre – it’s an engineering problem with humans in the loop. I’m a lawyer and engineer who builds legal strategies the way product teams build systems: tested, scalable, and designed for real-world constraints. My work sits where AI, SaaS, mobility and advanced manufacturing collide – from negotiating cloud and AI contracts to redesigning how in-house legal teams actually operate. I’ve led complex cross-border deals, M&A, BPO and transformation projects across Europe, Latin America and Asia, in-house at Total Energies and Nissan and as founder of a niche tech-focused law firm. Along the way, I’ve worked on EU-wide SaaS renegotiations, data sovereignty and IP in cloud deals, and AI liability under the EU’s evolving digital rulebook. I care less about “owning every contract” and more about building systems where legal is a multiplier. That means LegalOps, workflow automation, AI-enabled contracting and training business teams to close low-risk work without waiting for Legal. It also means doing the unglamorous work: contract standardisation, regulatory monitoring, and designing governance that actually survives contact with day-to-day operations. When I’m not redlining or redesigning processes, I create manga about in-house legal life – using storytelling to unpack the gap between how we say legal works on org charts and how it really feels inside a lean, high-pressure environment. Cool ideas get you started; engineering thinking gets you shipped. I’m here for exactly that: lawyers who think like engineers and experiments that become systems.

Building AI systems that make law efficient and accessible

I design and build AI-powered operations systems for law firms. I have developed 30+ end-to-end complex automations. I studied Psychology, AI, and Computer Science at Harvard, where I researched AI manipulation and dark patterns with Professor Cass Sunstein. I’ve published on AI agents and legal accountability, evaluation frameworks for law-following AI, and how AI intake systems can expand access to representation.

I am a Germany-based lawyer and corporate legal executive serving as Head of Legal at Drägerwerk AG & Co. KGaA in Lübeck. I studied law i.a. in Erlangen, Tübingen, Bonn, Edinburgh (LL.M.) and Erfurt (Dr. iuris). I am a regular writer on commercial and corporate law topics. Combining law and technology is a natural fit as I spent a lot of time programming as a teenager, predominantly on a Commodore Amiga.

Bring efficiency and defensible automation to the practice of law

Richard is an engineer-attorney who brings AI solutions into the practice of law. Richard drives legal service and software solutions for an AI-native law firm, translating lawyer-augmented software capabilities to enterprise legal buyers. His current work spans AI product strategy and feature development, legal process automation, and privileged technical advisory. He has architected agentic AI workflows for legal process automation, directed product roadmaps for litigation technology suites, and prototyped LLM workflows for eDiscovery. Richard provides privileged technical validation of AI systems, not just legal advice about them. He helps GCs & CLOs evaluate AI tools under privilege, build governance frameworks, conduct adversarial red-team assessments of deployed models, and implement systems that capture institutional knowledge to reduce re-work and increase client retention. His value proposition is serving as the technical "universal translator" expert that an entire organization can draw upon when AI, cybersecurity, or complex data questions arise in legal services. Prior to Eudia, Richard spent nearly 20 years addressing complex information governance challenges. At AlixPartners, he chaired the AI Task Force for eDiscovery and Investigations, and served as breach coach and incident response lead for significant data exfiltration events. He architected SEC, FINRA, and CFTC compliance projects for major financial services clients and served as lead testifying digital forensic expert in a high-profile matter involving DPRK threat actors and cryptocurrency theft. At Seyfarth Shaw, Richard co-led the Cybersecurity, Digital Investigations, and Information Governance practice and served as Special Counsel to the Firm. He managed a cross-functional team of 22+ professionals, created Seyfarth Scout (a proprietary remote forensics toolkit that generated a new revenue stream), and operated as discovery chief for bet-the-company pharmaceutical products liability litigation. His client work included full-stack cybersecurity, eDiscovery, and global GDPR compliance programs for Fortune 500 technology companies. Richard is barred in Illinois and California and holds certifications in cybersecurity (CISSP), digital forensics (EnCE, EnCEP), ethical hacking (CEH), and AI security (CAISS).

Lawyer who speaks the language of Tech X Techie who understands the law

I am a dual-qualified lawyer, with a keen interest in law and technology, and competition law. I qualified as an Associate in the competition law practice at HSF and am a solicitor advocate with Higher Rights of Audience in England and Wales. I am interested in how technology is changing the practice of law. As an Innovation Attorney at Latham and Watkins, I have been at the forefront of exploring GenAI applications for legal uses cases and client experiments. I have also advised clients on legal and regulatory issues related to their use of AI.

Building practical tools for contracts, regulatory work, and legal ops

Commercial lawyer and legal operations leader with 20+ years of international experience across sales, procurement, M&A, finance, corporate governance, and compliance. My work combines legal judgment, operational design, and technology to improve how legal work gets done. I’m now focused on building practical AI-enabled tools and workflows that improve speed, clarity, and consistency in legal work, while keeping judgment where it belongs. This started with contracts and is increasingly extending into regulatory and legal operations use cases.

Embrace Technology, Build Better Systems & Smarter Contracts

In-house commercial lawyer covering the full spectrum: contracts, transactions, reorganisations, data privacy, regulatory applications, marketing support, new product development, and legal ops. I'm always thinking about what makes a legal function actually run well. Playbooks, prioritisation frameworks, workflows, and the operational infrastructure that helps a team stay ahead rather than react. I've led the end-to-end procurement of legal AI tools and I'm currently building RedTape Radar (redtaperadar.com), a regulatory intelligence product that tracks regulatory change so legal and compliance teams don't have to. I don't like archaic contract language and the "we've always done it this way" mindset. I believe that the lawyers who will make the most impact are those that combine legal expertise with tech literacy, operational thinking, and business fluency. If you're an in-house lawyer, legal ops professional, or technologist working with legal teams, let's connect.

“The common man is the future of man.”

Former U.S. Senate aide who traded Capitol Hill for code editors. JD/MBA candidate by day, privacy toolsmith by night. Co-founder and CEO of Sonomos, where the mission is simple: show professionals what they’re about to expose before they hit send. Written about AI, blockchain, and the law for the Journal of Regulatory Compliance, the UC Davis Business Law Journal, Law360, and Westlaw Today. Still learning. Still building.

Tech in the Public Interest

Tech, telecom, and national security regulator and enforcer. Spent time in the trenches as a DOJ trial lawyer, and FTC and FCC privacy, data security enforcer. Past experience in BigLaw and plaintiff-side IP litigation. In a prior life - and perhaps again one day - supported faith-based North Korean human rights, refugees, and humanitarian aid movements.

Technology litigator turned litigation technologist.

As a Knowledge & Innovation Attorney at a global law firm, I support litigators across the firm with smarter systems, streamlined workflows, and practical generative AI implementation. In my free time, I draw on my computer science roots to experiment with applying new software engineering tools to legacy legal problems. The practice of law is done by people, for people. My efforts focus on eliminating friction in that practice to help human lawyers produce better work and enjoy doing it. Before transitioning into the technology side of law, I spent nearly ten years as a privacy and advertising litigator, providing substantial domain expertise that enables me to develop legal technology solutions that are precisely targeted at real practice problems.

Corporate lawyer in Hong Kong. Spent five years at Sidley Austin advising over a dozen listed companies on M&A and capital markets. Pivoted to product because I love the craft of building tools, starting with the tools I wished I'd had as a lawyer. All of my builds are solution-first. Built a HKEX size test agent that (i) fetches closing price and issued shares, (ii) reads the financial report to extracts key figures, and (iii) auto-fills the clunky XFA dynamic PDF form, cutting what used to take an hour to a minute. Built HKEX Listing Rules Vault, a RAG chatbot on the full Listing Rules PDFs that cites the rule that actually applies. Built Summa Nota, a HK judgment summarizer that turns long rulings into barrister-style notes. Now building a compliance tool for listed companies while working as a B2B product manager. The bar I hold every build to is delight. Lawyers have enough friction in their day — a tool that adds more isn't worth shipping.

Building Lawvable

I’m Antoine, a 28-year-old computer scientist born and raised in the wooded hills of the Belgian Ardennes. I work to solve challenging problems through technology. I used to do research at the intersection of AI and law. Now, I’m honing my skills as a software engineer while tinkering with side projects and occasionally sharing my thoughts through writing.

M&A Senior Associate based in Beijing. Builds data-driven tools that map cross-border investment flows across China's outbound deal landscape.

Trainee Lawyer in Dublin passionate about building and learning

Here to Build

I grew up in Los Angeles but took a leap of faith to move to New York for Cornell—a decision that changed the trajectory of my life. After graduation, I spent 2 years in rural Yunnan, China teaching English through Teach for China, an experience that deepened my appreciation for culture, language, and global connection. I later became a lawyer in New York, working at major firms before stepping into my current role leading U.S. legal for a Japanese asset manager. Recently, I’ve been diving into coding, teaching myself Python and experimenting with AI-powered development tools like Replit and Claude Code. In my free time, I’m a language enthusiast with a Duolingo streak of 1,000+ days—proof that curiosity might be my most consistent habit.

At Tritium, my focus is on pioneering the next-generation word processor tailored for the legal profession, leveraging my extensive background in securities law and regulatory matters. Tritium's mission is to enhance the lives of transactional lawyers. Tritium brings a vision born out of my years advising global investment managers and private funds.

If you can visualize it, you can build it.

Solutions-driven legal and commercial professional with 10+ years of experience across PwC, Shell, Capgemini, and Mural, operating at the intersection of negotiation, technology, and process design. My background spans both sales-side and vendor-side negotiations, complex cross-functional initiatives, and legal and commercial risk mitigation. I have led contract negotiations, drafted policies, optimized processes, and supported business teams in high-stakes environments. What differentiates my work is the integration of human-centered design and emerging technologies into legal and operational workflows. As a certified LUMA facilitator, I apply structured problem framing before introducing solutions, ensuring that technology serves real needs rather than adding complexity. Since the release of ChatGPT 3.5, I have built hands-on expertise in generative AI and AI-assisted development. I actively work in VS Code using GitHub Copilot Pro, Claude Code, and Claude Coder to prototype tools, automate workflows, and experiment rapidly with new ideas. Beyond using AI tools, I build with them. I have delivered professional training sessions on AI adoption and prompt engineering for enterprise and university audiences and was selected for the Perplexity Business Fellowship. Most recently, I led Mural’s participation in the EU AI Pact and focused on AI governance strategy, helping design approaches to mitigate generative AI risks in alignment with the EU AI Act, from both provider and deployer perspectives. I am particularly interested in redesigning legal and commercial workflows to reduce friction, improve decision quality, and enable more sustainable ways of working.

I have worked as a lawyer for tech-driven companies for over 15 years and with the help of several sharp engineers and coders, I have helped translate legal and privacy mandates to a variety of technical applications. In the new AI era, I'm moving from advisor to participant as a builder of practical tech solutions to solve real human and process problems.

I am a lawyer based in Uruguay, currently practicing at Ferrere, a leading multi-jurisdictional law firm with a strong presence across Latin America. I am part of the firm’s regional team dedicated to testing, evaluating, and implementing artificial intelligence tools across our practice. Our goal is to integrate these technologies in a thoughtful and strategic way, enhancing internal efficiency while delivering greater value to our clients.

Building for the Future of Law

I am an in house lawyer who manages a team of lawyers within the Procurement Legal team for a large Canadian telecommunications and IT company. I regularly teach and mentor other lawyers on the use of GenAI for simple to more complex tasks. I was an early member of the Legal Quants and host a bi-weekly meeting in the Americas time zone where we discuss a variety of topics such as our coding set-ups, ideas, security concerns, quality of code and other exciting topics. I am not a software developer and have limited knowledge of programming languages (but am slowly learning). I use Gemini, Google AI Studio, Claude Code and our company's own GenAI solution called FueliX to develop legal applications.

Bridging the gap between AI and the Legal Industry

My journey into legal technology is relatively recent, spanning the past year or two. My role in UK employment litigation covers the full range of work, which puts me in an unusual position where the inefficiencies are visible across the whole stack but so are the opportunities. A practical question I face every day is how to extend capacity and do better work. What drives me most is making this accessible to other practitioners who haven't yet been introduced to what's possible.

Redesigning legal work from the process up

Tech lawyer and coder, working as a Legal AI Analyst focused on redesigning legal processes from the ground up. Focused on embedding modern AI capabilities directly into lawyers’ day-to-day workflows, rather than bolting AI onto legacy processes. Started building legal tech in 2021. Built a first working AI agent prototype in late 2022 to parse and reason over court case materials using a simple RAG setup. Built 50+ internal microtools and a full-stack internal platform running locally with data protection as a first-order constraint. Work spans multilingual document comparison and AI-powered document bundle parsing tools used in real legal workflows, and much more.

Leading Enterprise Innovation for Corporate Legal Departments

Transitioned from patent attorney to strategic legal leader, after my MBA at MIT Sloan. Now at Siam Cement Group's legal department, reporting directly to the Group General Counsel, I focus primarily on management and innovation initiatives (80%), while maintaining hands-on involvement in legal transactions (20%).

I am a dual-qualified disputes lawyer based in London, focussed on international arbitration (commercial and investor-state) and commercial litigation. I have a keen interest in AI in litigation and arbitration. I built Chronos, a chronology builder tool for the Manus x Legal Quants Hackathon in January 2026, and am currently working on building a few more AI tools for disputes.

Making law accessible through practical tools.

I’m a law student who started building when I realised modern technology was within reach, and could be used to make law more accessible. I’m exploring how tech can improve how we learn, explain, and apply legal rules in practice.

Eager to learn and collaborate

Curious Argentine lawyer with French law and law & economics background. In-house experience at a biotech startup that went public and at the biggest pharma company in Argentina. Now, learning how AI works and experimenting with it in my free time to sharpen my problem-solving skills. Excited to learn and contribute to this amazing community!

Nerd Lawyer

Former computer designer. Partner in biglaw for 25 years+, ex Head of Data, Head of IT etc. AI friendly.

In-house Lawyer & AI enthusiast

I’m a lawyer with over 10 years’ experience in the legal industry, both private practice and in-house. Having seen too many colleagues spend too many of their precious hours doing repetitive, tedious work, I’m obsessed with finding ways to do things better and work more efficiently through legal operations, tech and AI.

Hello! I am an incoming associate at the Data, Privacy, and Cybersecurity practice at Hogan Lovells in DC. My focus will be primarily on data privacy and tech regulatory issues, and the projects I build are closely related to that.

Designing clarity in places that need it most.

Legal Designer | Lawyer × HCI Researcher | Building Human-Centered Systems | MS HCDE @ University of Washington | LegalTech Builder | Access to Justice through Design | https://ranjitharangaswamy.com/

Redesigning operating models from first principles

Alexios advises a major renewable energy group on joint-ventures, governance, and disputes across 800+ entities. Before that, he served as General Counsel and Board Secretary in a mining company in Africa, advising a 3000-person operation through a military coup and delivering Africa's first ASI full mining certification. He began his career at Shearman & Sterling in Paris under Prof. Emmanuel Gaillard, while simultaneously running a criminal defence practice. He holds a Magister Juris from Oxford, a Magistère from Paris II Panthéon-Assas, and is admitted to the Paris Bar. He taught international arbitration at Assas from 2015 to 2019 and focuses on redesigning operating models from first principles.

Law with a founder’s instinct and an investor’s lens.

I didn’t enter law by default. I entered it after understanding how systems really work. I began in consulting, working on actuarial valuations and regulatory reporting. That’s where I learned how institutions quantify risk and how compliance quietly shapes strategy. At the same time, I was active in equity and derivatives markets, sharpening my instinct for probability, incentives, and asymmetric bets. Then I moved into startup ideation consulting. Working with founders at the zero to one stage, refining business models, stress testing assumptions, and shaping fundraising narratives. I saw both sides of the table, ambition and capital. That’s when it became clear: law isn’t paperwork. It’s architecture. I formalized my legal training with a focus on technology and data protection, driven by a belief that regulation will define how innovation scales. I operate at the intersection of markets, startups, and law. I understand risk, structure, and execution. And I see regulation not as friction, but as leverage.

Software engineer and member of the DC bar. Founder of Lexplug, ArenaDocs, and dozens of other Legal AI products and tools. My focus is building. I also love to teach and recently taught an AI and Lawyering CLE for the DC bar.

Data, Doctrine, Deadlifts

Legal realism meets regular expressions.

Building tools for busy lawyers (and busy parents).

The first programming language I tinkered with was Microsoft BASIC. The last formal education I had in programming was a Pascal programming language in high school. After law school, I ended up with my nose in a different type of code, the Internal Revenue Code. Now I'm using my deep domain knowledge as an estate planning lawyer and tax lawyer to build tools for the modern lawyer.

I started my career in NY BigLaw as a securities lawyer, and am now co-founder of a capital markets legaltech company, Statera (www.staterasuite.com). When I was practicing, I built all kinds of tools with VBA, dynamic arrays and [SuperscriptedVariables] (iykyk), and now spend (probably too much) time in Antigravity and Claude Code; Codex, Linear and Affine (an open-source tool that combines the basics of Notion & Miro) round out my current top 5 most-used tools.

LegalTech | Platform Governance | Product Management

LegalTech builder and Computing & Law student with a second major in Cybersecurity, focusing on AI governance, platform risk, and workflow automation. I design and build products that move legal work beyond document-centric processes toward structured systems, semantic tooling, and scalable decision-making infrastructure. Outside the legal community, I actively research DeFi-related vulnerabilities and previously served as an intelligence practitioner specialising in GEOINT. The projects featured here are a curated selection of publicly shareable work and simplified implementations intended to demonstrate core ideas.

Mind over matter

Explore, experiment, and build

Dual-qualified lawyer in California and Turkey, currently serving as a government lawyer in Turkey navigating the high-stakes friction between national trade policy and WTO standards. While my day job involves the "logic gates" of international trade, tariff classifications, origin determinations, and duty-drawback claims, my obsession is the architecture of legal research. I focus on building local AI applications and technical workflows to bridge the gap between disparate jurisdictions. I believe the future of law belongs to those with the technical judgment to encode complex legal reasoning into reproducible, AI-augmented systems.

I'm an attorney at Austria's leading law firm, focusing on venture capital and technology transactions. At the intersection of law and code, I build the tools and frameworks that make complex deals faster, smarter, and more precise — turning legal work into a quantifiable edge.

Attorney, Auditor

25+ years of practice, now in AI Audit

I build the tools I wish existed.

German-based Data Protection, AI, IT & EU Digital regulations lawyer. Learned my legal craft at big law firms before going in-house as Senior Legal Counsel — first at a tech company, now at a major software company. Alongside that, I run a boutique practice where I combine traditional advisory with proprietary AI-powered legal tech tools I build myself. Started building out of necessity. Stayed for the vibe coding. My focus: vertical, domain-specific workflows and 'skills' that power up privacy, AI Act, and EU digital compliance work — built by a practitioner, for practitioners and legal teams.

Former corporate bankruptcy partner, current law librarian

I practiced corporate bankruptcy for 10 years and now teach legal research and legal technology as a librarian. I’m also a huge advocate for open access to legal information and am on the board at Free Law Project, so enjoy exploring what's possible with open data. I'm fascinated by the Legal Quants project because I had *so many* of these little ideas when I was practicing, where I could never find quite the right piece of software.

AI is over-hyped, but under-estimated

Bridging the gap between high-level legal governance and modern technical execution. With a career spent managing regulatory risk at some of the world’s largest financial institutions, Richard provides boards with a rare "bilingual" expertise: the ability to translate complex data architectures and AI ethics into actionable fiduciary strategies. JPMorgan Chase, NA: Associate General Counsel Washington Mutual, Inc: SVP & Associate General Counsel Infrastructure: Expert in large-scale regulatory and environmental permitting. Active researcher and developer in the Julia programming language, specializing in spatial data visualization and algorithmic accountability.

Triple-admitted lawyer, entrepreneur and developer

I closed my London-based law firm in 2006 and I am opening a California-based one 20 years later. In the meantime I have built three companies (Divisadero, Sweetspot, PrivacyCloud). I developed my first contract automation tool in 1999 while participating in the W3C's LegalXML eContracts Working Group.

Not your typical lawyer

Department Counsel at Jenner & Block (AmLaw 100) operating as a legal engineer. 10+ years in global investigations and eDiscovery across U.S., European, and Latin American jurisdictions. I build tools because the commercial version either doesn't exist, costs too much, or wasn't built for how lawyers actually work. Six published AI-powered legal tools on GitHub (github.com/veronica-builds): Court Filing Analyzer, Court Decision Extractor, Legal Timesheet Reviser, Legal Tool Vetting Assistant, ESI Protocol Generator, Legal Prompt Library. I've also built: a fully automated LinkedIn newsletter pipeline; an attorney workload tracking system that eliminated 30+ weekly manual status emails across a 30+ attorney team, still in active use; and a curriculum design agent for attorney AI training. I evaluated Harvey AI and CoCounsel as part of Jenner's AI pilot, and independently evaluated Legora and DeepJudge. I have firm access to Microsoft Copilot and Claude (web access), and have built workflows that extract full capability within those constraints. ICF Professional Certified Coach (PCC). 250+ professionals coached. Co-facilitated the HNBA Latina Executive Leadership Program. 50+ training sessions delivered for PowerToFly and Udemy, 95% completion rate. Open to roles at legaltech companies and law firms with innovation mandates. EU-based and fully remote US-based roles both in scope.