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.