Searches every published tool by name, practice area, builder and description. Pick a result to jump to it.
Mike Unplugged builds on previous forks of MikeOSS that have progressively enabled full local use. Mike Unplugged allows you to scan your LLM apps for local models you've already installed, select which ones you want to make available for MIke Unplugged use, and then use your selected models. You can run Mike Unplugged entirely offline.
Dharma SadasivanGeneral Counsel + Chief Strategy Officer, Stability Solutions316 tools, newest first
Dealroom MCP serverSergio Maldonado · Triple-admitted lawyer with a programming background, twice-exited entrepreneurLets an AI assistant such as Claude Code draft and negotiate contracts in Dealroom, for lawyers and legal teams
Mike-UnpluggedDharma Sadasivan · General Counsel + Chief Strategy Officer, Stability SolutionsMike Unplugged builds on previous forks of MikeOSS that have progressively enabled full local use. Mike Unplugged allows you to scan your LLM apps for local models you've already installed, select which ones you want to make available for MIke Unplugged use, and then use your selected models. You can run Mike Unplugged entirely offline.
MergerCheckAaron Massingham · In-house Executive Counsel (PE / VC)Live tracker of Australia's ACCC merger regime; with deal assessment tool.
GoCirclAaron Massingham · In-house Executive Counsel (PE / VC)Automates the auditor circle-ups in US capital markets transactions.
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Mapped each state's main legislative resources, access methods, and file formats
An open-source benchmark that tests AI legal judgment by giving models real federal motion-to-dismiss briefs from PACER/RECAP (decided after the model's knowledge cutoff) and scoring whether they predict the judge's ruling. Built as an alternative to fixed-rubric benchmarks like Harvey's LAB, with a small preliminary multi-model run already done.
BoardAgentAlexios vdSK · Associate General CounselBoardAgent is the board portal of the future. It has no user interface. It accepts no PDFs, no Word documents, no PowerPoints. It only accepts machine-readable formats. A human cannot log in to the board portal. Only an agent can. In fact, BoardAgent doesn't even have AI, because BoardAgent is a governance protocol for agents managing board workflows. Each stakeholder (director, secretary, management, observers) talks to their own personal AI agent, whichever one they already use, and the agent talks to the board portal over MCP. They can then ask their agent to present the materials in whichever form they like (including PowerPoint, if they are stuck in 2020). The board portal itself is a server of record: charter, seats, permissions, machine-readable papers, questions, votes, minutes, and a signed hash chain of everything that happened. Today's board portals are document viewers with permissions and a black-box chatbot bolted on top. Board members are using an AI that they do not control or govern. A governance heresy, and a real risk for board members. I think that in a few years (not that far away from now), they will be what this is: a protocol your own agent speaks, with the governance enforced on the server side where no model can talk its way past it. This is, in my view, what "AI-native" means.
A Claude-built pipeline that ingests a client's payroll and timesheet PDFs in a class/PAGA wage-and-hour case and computes non-compliance exposure for the whole class — work traditionally done by a paralegal typing a subset into a spreadsheet.
StrandPeter Scripps · Sr. Privacy Counsel - Head of Legal Privacy & AIConnect to your state's public records
DarugachiAnsel Halliburton · Senior Lead Counsel, Global Trademark PortfolioCollect computational tribute from your kid's gaming PC
Liberates Florida's statutes from a proprietary 1980s format
Detailed agentic access methods to every state's legislature
As part of the firm’s innovation initiatives, I work with the legal and technical teams to design and test internal tools and workflows for different practice areas and business needs. These solutions are developed both within existing platforms and independently, using providers such as Anthropic, OpenAI and legal-focused tools such as Harvey and others. The work includes identifying suitable use cases, translating legal needs into technical requirements, testing solutions with lawyers and supporting their adoption across the firm.
Participated in the development of an internal dashboard designed to improve the management and visibility of operational processes within the firm. The solution helps centralize information, track relevant matters and provide a clearer view of ongoing work.
Developed a structured workflow to support adverse media and KYC reviews. The solution combines predefined search logic, risk-related terms and external information sources to make background checks more consistent and easier to review. The objective is to reduce repetitive manual research while keeping the legal assessment and final risk analysis with the lawyer.
Developed an internal monitoring solution for corporate publications in Uruguay’s Official Gazette. The tool automatically reviews daily publications against a defined list of companies and identifies potentially relevant notices for the legal team. It reduces the need for manual searches and helps lawyers detect corporate events, notices and other relevant publications in a more systematic way. The solution is currently used as part of the team’s regular monitoring process.
The LawficeDee Swarna · Disputes LawyerThe Lawfice helps consumers work out whether their problem has legal legs and what to do about it. It is an AI-powered tool with a cast of Sims-style agents modelled after The Office, each performing a distinct task: Pam takes your intake and works out what kind of case you have. Dwight pulls the names, dates and keywords that matter. Angela connects to your Gmail and finds the supporting emails herself (using keywords formed from your initial description), or you can upload documents yourself if you prefer. Jim builds a sourced timeline from the evidence. Michael delivers the verdict: pursue it (with a lawyer or independently) or walk away. Oscar drafts any follow-up emails and assembles your full case pack, ready to use or hand to a lawyer.
ChronosDee Swarna · Disputes LawyerAI tool that builds case chronologies instantly. Upload legal documents and automatically extract key events into timelines, exportable as PDF or Word.
Prompting Hand-out for LawyersElgar Weijtmans · Head of TechnologyA modern, user-friendly React application for the prompting guide for lawyers. Built with React, TypeScript, Vite, and Tailwind CSS (with shadcn/ui design system).
origami-methodMichael Paik · Founder, GRC Solutions Korea𝗢𝗿𝗶𝗴𝗮𝗺𝗶 𝗠𝗲𝘁𝗵𝗼𝗱 Lock a one sentence target Build a context packet: objective, boundaries, definition of done Classify risk high enough to justify strict gates Define creases: inputs, outputs, exclusions Run the workflow: read → analyze → draft → gatekeep, test on real cases, log minimal folds, then lock The Origami Workflow Guide helps design the dedicated prompts you need for repeatable workflows, without improvisation.
AI GRC CopilotMichael Paik · Founder, GRC Solutions KoreaThe AI GRC Copilot helps generate a stack of 30 basic artifacts for use in AI GRC. Not everyone needs every item. If you are running high-risk AI in a grown-up organization, this is the map. Governance is, among other things, a documentation engine that produces decisions and proof. If you cannot point to the artifact, the owner, the control and the log, you do not have governance. You have hope. The prompt will not do the job for you. You supply facts, constraints, decisions and approvals. The model drafts and stress-tests. You own the risk. Delegation is not abdication. 𝗙𝗶𝗻𝗮𝗹 𝗟𝗶𝗮𝗯𝗶𝗹𝗶𝘁𝘆 𝗿𝗲𝘀𝘁𝘀 𝘄𝗶𝘁𝗵 𝘁𝗵𝗲 𝗛𝘂𝗺𝗮𝗻.
RedCap-00Michael Paik · Founder, GRC Solutions KoreaRedCap-00 is the first tool in 𝗚𝗥𝗖 𝗻𝗲𝘅𝘁™: a free public self-check, evidence-capped and conservative by design. Use it to evaluate whether your organization can make real operational choices inside 72 hours under disruption. It focuses on five moves: safe pause, treasury reroute, data switchboard, substitution of critical dependencies, and clean market exit.
GRCnext-CopilotMichael Paik · Founder, GRC Solutions KoreaGRCnext™ Copilot scores evidence-backed “Global Optionality” across critical services (Pipes, Switches, Exits) and outputs dossiers, exit tactics, playbooks, drills, and a 90-day backlog.
Contract-Mechanism-Review-AssistantMichael Paik · Founder, GRC Solutions KoreaThis is the spellbook for the Contract Mechanism Review Assistant. It reads slowly, thinks conservatively, and writes with discipline. It treats every agreement as: a mechanism for risk transfer a business plan in clauses a memorialization of future performance It produces clause-by-clause issue spotting, insert-ready edits, fallback positions, and a short deal-risk summary you can paste into an email.
The project is intended to allow lawyers to create playbooks which are applied against uploaded documents, thereby helping with quick review of documents.
A legal document clause extraction and management system powered by AI. Upload legal documents and automatically extract, organize, and search clauses using artificial intelligence.
Contract SimulatorNoam Raz · Deputy General Counsel @ WizUpload a contract, select a stress-test scenario, and get a streaming clause-by-clause AI walkthrough of triggered obligations, timelines, and liabilities.
Vulnerability ScannerNoam Raz · Deputy General Counsel @ WizSelf-hosted web app that scans live websites for security vulnerabilities. 18 scanner modules, real-time SSE streaming, and AI fix prompt export.
AI Governance RegisterNoam Raz · Deputy General Counsel @ WizAI system registry and governance tracker with EU AI Act risk classification, impact assessments, and a compliance dashboard.
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Software for sharing Claude Code sessions across a team, solving the jump from sessions that run locally to something shareable with access control. Offered free to the LegalQuants community.
A shared template repo for distributing Claude skills and config across his firm’s attorneys, and keeping them in sync internally.
AI-powered web app that edits PDF documents through natural language instructions. An agent interprets what you want changed and handles the structural manipulation — no manual editing required.
Nolan HurlburtLegal AI Strategist
The Noroboto family of attacks, originally developed by Drew Miller of Tritium Legal and the LQ RED TEAM, rewrites the TrueType glyph-cmap of an embedded font so that ASCII codepoints in the content stream map to glyphs for arbitrary other characters. The visible page renders correctly because the font's cmap draws the intended glyph; the extracted text yields Private Use Area noise because the codepoints in the underlying text are PUA values. The original public release applied to DOCX documents only. I added a PDF extension to Noroboto which consists of a single new code path in noroboto.py that, given an arbitrary input PDF, obfuscates it. You can try it here: https://noroboto.io. Only total-document obfuscation is shipped publicly. Surgical (partial-targeted) and replacement variants are deliberately withheld for ethical reasons, until a mitigation system is broadly deployed at the ingestion layer.
Alexios vdSKAssociate General Counsel
Lexometrica Ground Truth is an independent LLM leaderboard built on a closed, static dataset of 30 highly complex cases derived from real Russian court practice. We discard standard memorization metrics to test real legal intelligence within the IRAC (Issue, Rule, Application, Conclusion) logical framework: evaluating the models' ability to identify hidden problems (issue-spotting), apply relevant norms to facts (rule-application), and draw accurate conclusions.
Nikita PolyakovLegalTech Architect (ex-Litigator)
Sonomos is a local-first privacy layer for professionals who use AI tools but can’t afford to expose sensitive data. Its two core features — Dagger, which detects sensitive information in real time with a traffic-light overlay, and Cloak, which masks that data before it ever leaves your machine — sit between the user and whatever AI tool they’re typing into. No cloud processing, no trust required. Built for lawyers, financial advisors, and anyone in a regulated industry who needs to use AI without violating client confidentiality. Currently running pilot programs with law firms.
Zachary BrennerFounder & JD/MBA Candidate
Glyph is a Chrome extension that puts §, ¶, ©, ™, and 26 other symbols lawyers actually use right next to whatever text field you’re typing in — Clio, Gmail, Google Docs, wherever. One click to insert. No alt codes, no character map, no breaking your flow.
Zachary BrennerFounder & JD/MBA Candidate
My first attempt at "solving" OCR. The idea was that I would load up an unreasonable number of OCR engines and have a judge determine which extraction should win. It is an interesting start, but performance was inconsistent and better extraction models appeared shortly after.
Erin FraserTrusted advisor to private clientsCorporate legal teams overpay law firms every month. Rate overcharges, duplicate entries, non-compliant line items — most go unnoticed. Invoice Checker fixes that: 📄 Upload any invoice (PDF, DOCX, image) 🔍 24 automated checks — rate variances, duplicates, seniority mismatches, scope creep ⚖️ Cross-referenced against your panel rates and engagement letters ✅ Confirm, waive, or dispute each flagged item 📧 Auto-generates a PDF report and draft dispute email 🔒 Your data never leaves your infrastructure (BYOT — bring your own API key) Open source · Self-hosted · MIT licence
Nicolás PaniguttiLegal Ops | Intrapreneur
Tritium is the next-generation word processor for legal--the legal IDE.
Drew MillerFounderAn AI-powered operating system for in-house legal teams. Centralizes escalations, playbooks, and knowledge, and gets smarter every week from the work the team does. How it works Slack /escalate command kicks off any matter — no new tool to learn for requesters AI triages every matter: classifies practice area, sets priority, routes to the right attorney Pre-analysis runs before a lawyer touches the matter — pulls relevant playbooks, knowledge base articles, prior similar matters, and counterparty memory into a synthesized brief Drafting workspace composed from a versioned clause library; export to Notion or Google Drive Matter-scoped Copilot has the full context (playbooks, KB, prior matters) and can be invoked anywhere The self-learning loop: Seven weekly cron jobs mine the team's actual decisions to update the institutional brain: Rejection mining clusters lawyer disagreements and proposes new playbooks or routing patches Playbook-edit mining compares matched playbooks against final lawyer-shipped output and proposes targeted amendments Conflict detection scans for duplicate canonical clauses, rule priority collisions, and near-duplicate playbooks Every accepted lawyer edit becomes the next version — the corpus compounds Architecture: Stack: Next.js · tRPC · Drizzle ORM · PostgreSQL · Railway Voyage-Law-2 embeddings across knowledge, playbooks, templates, rules, and execution patterns — global ⌘K semantic search Natural-language rule engine (SLA · routing · triage · playbook triggers) with a four-state lifecycle: draft → shadow → active → archived Codified statutory-research workflow with citation verification — designed to eliminate the hallucinations of pure-LLM legal research Integrations Slack (trigger), Salesforce (matter context), Notion (canonical store), Google Drive, GitHub, Anthropic API (Copilot · analysis) Status: proof of concept, deployed and operational.
Marco CrocettiSenior Counsel
A Claude Code agentic workflow that automates the full lifecycle of a blog post — from pitch to published. Built for Alt + Counsel, it runs five phases: pitch, write, review, post, and verify. The review phase uses three synthetic personas (a legal technologist, a solo corporate lawyer, and a lawyer-coder) to audit drafts before anything goes live. The thing that writes the blog is itself a project worth showing.
Hou Fu AngSenior Legal Counsel
license-comply is an open-source CLI tool that scans Python projects for dependency license risks, going beyond simple license detection to provide risk ratings, plain-English explanations, and remediation steps tailored to your specific project type. It features a customizable policy engine, multiple output formats, CI integration, and an optional AI-powered executive summary. Published on PyPI and licensed under Apache 2.0, it's built to make open-source compliance accessible to both developers and legal teams.
Sam ClearwaterSenior Vice President & Counsel - AIIdentify which source sentence a piece of text most likely originated from, using lightweight text similarity metrics. No embeddings or API calls required at runtime — just fast, deterministic string matching that works in the browser or on the server. Designed for RAG citation highlighting, contract playbook matching, plagiarism detection, source attribution, and any other text provenance task.
Yu Chou TeoGovernment LawyerThis is an MCP server. You give an AI agent a knowledge document and a questionnaire. The agent reads both, matches answers to questions, and writes them directly into the original Word, Excel, or PDF. Tested with Claude Code and Gemini CLI.
Oscar GC is a single-binary Electron application for in-house legal work. Lawyers open a practice area, create a matter, and work with a scoped AI agent that knows the area, has access only to that matter's documents, and is paired with vendored in-house legal skill libraries plus a contract-redline service. The app runs locally on Linux,.
Intelligent Q&A platform that routes questions to domain experts, then converts their answers into automation rules so the same question never needs a human twice. Compounds over time — the more experts answer, the more the system handles on its own.
AI-powered legal query optimization platform that builds institutional memory from uploaded documents, tracks knowledge expiration with a “Good Until Date” system, and generates precisely-scoped requests for outside counsel — cutting 30–50% of unnecessary spend by surfacing what the department already knows.
A host-independent OOXML reconciliation engine built specifically to solve one of the hardest problems in legal tech: programmatic track changes. This NPM package safely converts AI-generated or programmatic edits into valid, native Microsoft Word redlines (w:ins/w:del). It handles complex edge cases like list generation, table diffing, and comment injection entirely dependency-free, allowing developers to build robust document automation tools across Node.js, browsers, and Deno.
Microsoft Word Add-in that integrates Gemini AI directly into the editing environment with full Track Changes support. Bring-your-own-key architecture — documents route straight to Google’s API, never through a middleman. Handles edge cases like nested lists and table formatting where most AI tools fall short.
I built an agentic-first legal IDE from scratch: Python/FastAPI backend, SvelteKit frontend, PostgreSQL, and Docker; model-agnostic agentic loop with tool-calling, subagents, multi-step orchestration, and human-in-the-loop review; hybrid BM25 and pgvector RAG retrieval; binary diff document versioning; 6-layer privilege-based permission model.
Matteo BürglerTMT Associate · Programmer
Detects the active window every 60 seconds — documents, emails, research, calls — and logs automatically. Step away and forget to manually pause? No problem. If there's no keyboard or mouse input for 2+ minutes, Ghost Logger automatically flags the entry as (Idle) — so idle time never sneaks into billable hours. All data saved locally. No cloud, no subscription. User can open the CSV log in Excel anytime for billing or review.
Sze Yao TanState Counsel
Billing review tools exist, and some of them are good. But they're typically designed for legal departments with hundreds of firms and millions in annual spend. Plus: law is a human business! I don't want to mediate my relationships with counsel through a third-party platform. I don't want a dashboard. (I really despise dashboards.) I want to understand what I'm paying for, I want to work more harmoniously with our partner firms, and I want to have an informed conversation about it when the numbers don't look right. So I set out to build a tool to help with that: Eden. A Loom video showing Eden's capabilities is here: https://www.loom.com/share/e063a1080a874b348dfb20b5eaf24dd8
Andrew CookeChief Legal Officer, Perk© 2026 LegalQuants · legalquants.com · the original home of legal quants.