Legal Quants

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 · 60K+ users across apps · Ranked 1st in search for AI regulation tracker

Tech lawyer who actually builds tech. Self-taught coder 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 in technical roles at LawPath (legal doc automation platform) and 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 60K active users per month. 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.

170K+ monthly PyPI downloads · 152 GitHub stars

Senior legal counsel in Singapore with 15+ years across litigation and in-house — who writes code at night and does law stuff in the day. Built redlines in 2021 because Singapore’s statutory simplification exercise needed something better than git diff, and the library ended up in Andrew Ng’s DeepLearning.AI course without him knowing. It now gets 170,000+ downloads per month on PyPI from people he’s never met for projects he’s never heard of. Maintains 71 repositories on GitHub, mostly Python, mostly solo — and writes about what actually happens when you build legal tech at night on his blog Alt + Counsel.

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.

2,500+ downloads on Microsoft Marketplace

Commercial counsel in Vancouver who got tired of the black-box economics of legal tech and started building his own. 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. His Gemini AI Word Add-in has crossed 2,500 downloads on the Microsoft Marketplace.

70+ downloads on Chrome Web Store

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 fraud recovery. 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.

Building a better lawyer

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 and vibe coding to solve real issues in the workplace, especially for non-legal professionals.

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 AidaLex - 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.

Nerd Lawyer

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

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.