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A database for drafting attorneys: semantic search over a large sample of material definitive agreements pulled from SEC EDGAR to find real precedent clauses as starting points, with AI html-to-docx conversion. Built solo with Fable.
303 tools, newest first
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.
Vibe CheckNoam Raz · Deputy General Counsel @ WizClaude Code security audit slash command built for vibe coders. 8 audit phases, 40+ tech stack detection, and 77+ real vulnerability patterns.
Legal FlowNoam Raz · Deputy General Counsel @ WizEnterprise legal operations platform — contract lifecycle, privacy compliance, vendor risk, and team analytics unified in one AI-powered workspace. 6 modules, 30 features, dark/light themes.
Legal Knowledge BaseNoam Raz · Deputy General Counsel @ WizRAG-powered legal knowledge base for institutional memory. Upload documents and ask natural-language questions to get answers with source citations.
License Compliance ScannerNoam Raz · Deputy General Counsel @ WizScan dependency manifests for open-source license compliance. Identifies licenses via package registries and SPDX, evaluates against configurable policies.
MixdItNoam Raz · Deputy General Counsel @ WizPersonal cocktail companion with 1000+ recipes, bar inventory tracking, custom recipe creation, drink history with photos, personal analytics, and smart shopping lists.
GentlrNoam Raz · Deputy General Counsel @ WizAI communication assistant that transforms messages with tone adjustments, clarity improvements, translations, and culture-aware formatting across Slack, Email, WhatsApp, and LinkedIn.
It is an L&D tool to help budding lawyers learn through a gamified experience. You upload case files and it turns the files into a game for learning the essential concepts of that case.
LawvableAntoine Louis · Legal EngineerThe open ecosystem around Agent Skills for law.
I frequently get requests to quickly review a paragraph or two that a client sends in an email. Like most lawyers who live and die with redline I would copy to text and then change format - red, strikethough - and delete text and then change format -green, underlined - to show the changes to the client. I used Google AI Studio to develop an application that allows me to copy the text (or even an image) into a text box, edit in another text box, and show the redline version in another. I can copy the redline as text or an image as well as generate an email that show the redline, explains the changes, and provides the clean text
Fork of Kevin Keller's playbook generator. One of the great parts of being a Legal Quant is that we are cultivating a culture and mindset of seeing someone else's solution and looking for ways to adopt it for your own workflow. I added a web search and gave more options for the LLM (I use an OpenAI compatible proxy for my LLMs).
Gemini Gem developed to assist with developing the PRD and coding instruction for coding assistant that may assist LQ Hackathon participates to generate a starting point for their projects. Gemini Gem at https://gemini.google.com/gem/1dkTy3bsyO2UL6bdhV8NIpptgIIe29hNc?usp=sharing Link to system instructions at https://docs.google.com/document/d/17r6PWMGStv1dGbKwChIPq41e3qc-lWBib7BCloKH05E/edit?usp=sharing
Reviews a contract and extracts out the redline and comments. This is used to generate an issue list that shows the redline, explains the change and provides a recommendation. This was originally developed for my company's own playbook but I have made it generic to allow the user to choose which party they are representing and also provide their own playbook. After the issue list is generated you can download the table and even generate an email to send to one of the people mentioned in the comments. The tagging of the assignee works best is you use an @person or Note to Person in the comment.
Tax Defense StrategistEmmanouil Leivadiotakis · Tax Litigation LawyerLegalStrategy AI: From Raw Ruling to Actionable Defense A sophisticated Proof of Concept (POC) designed to bridge the gap between receiving a court decision and crafting a rebuttal. This "Second Brain" for litigators automates deep fact analysis, timeline generation, and legal issue mapping. Features include a specialized Prescription Detector and a Defense Strategy Mapper that suggests procedural claims based on an integrated jurisprudence database. Export your entire strategy directly to Word to accelerate your filing process.
💡 The problem We’ve all been here: - seeing “in accordance with applicable law” everywhere… but which law exactly? - receiving a contract flooded with redlines with zero explanation - spending days going back and forth, trying to reverse-engineer the counterparty’s rationale then, drafting cross-border contracts while constantly switching between Word and browser tabs worrying we’ve missed something critical I built ClauseWise to tackle exactly these. ⚖️ It helps you: - identify which laws actually apply to your deal - surface relevant regulatory frameworks, including extra-territorial regimes - understand the legal basis and market practice behind clauses - clearly distinguish governing law vs independent regulatory obligations In short, it lays the legal and regulatory foundation for you, so you can negotiate with clarity and confidence. 👩⚖️ Who is this for? - corporate counsel reviewing redlines or drafting agreements - lawyers adapting templates across jurisdictions - anyone who wants to sanity-check if their clauses align with applicable laws As a former dispute lawyer, I would have loved this (especially to cross-check whether my pleadings comply with both substantive and procedural law) to avoid technical mistakes that could get a case struck out from the outset - who knows, we might roll out a separate feature catered to dispute lawyers in my v2 😉 Feel free to try it out here: clause-wise.replit.app
Dark mode, but customisable and pretty
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Ask, edit, and review contracts in Microsoft Word. Built for Sports and Entertainment lawyers and legal teams
Brad NealBuilder"The Moot Court," a multi-agent NDA simulator for trainees. It parses NDAs and deploys three distinct AI personas (Opposing Counsel, Client Counsel, and Senior Partner) to debate clauses in real-time. Instead of just auto-correcting text, it teaches trainees the strategy each clause. Built using Python, Flask, and Google Gemini API.
Gus CourtauldTraineeI introduced Playbook Pro at the Legal Tech Hackathon 2026, built in collaboration with Manus AI. I explained that Playbook Pro helps legal teams create and maintain AI ready contract review playbooks in minutes instead of weeks. The goal is to capture review standards once, version them centrally, and reuse them across any large language model without vendor lock in. Legal teams stay in control through a clear governance layer. I shared why we had to build it. My legal team co developed a custom AI contract review tool that worked extremely well. It even attracted interest from finance. But we ran into a core problem. The built in playbooks were generic. They did not reflect our real risk tolerance, negotiation positions, or business policies. Business teams needed their own rules reflected in contract review, not just legal analysis. Creating and maintaining those playbooks manually was not realistic and required skills lawyers should not have to learn. I explained how Playbook Pro works. It starts with a structured, versioned clause library organized by negotiation position, which reduces errors and confusion. But that is only the foundation. The real value is in the AI playbook library, which captures how an experienced lawyer reviews a contract. These playbooks embed judgment. They show what matters, what should be flagged, and how issues should be explained. They are transparent, versioned, and easy to customize. I then showed the AI coaching layer, which lets users refine playbooks through simple instructions. Each change creates a new version that can be marked live or archived. If a playbook does not exist, the AI playbook generator can create one from scratch by asking who we represent, the contract type, and the key risks. It produces a structured review prompt with context, goals, and priorities, without any prompt engineering. I closed by emphasizing that Playbook Pro is not about automating drafting. It is about capturing expert legal judgment once and turning it into AI playbooks that can be reused, governed, and applied consistently across the organization.
Most companies still gate contracts on dollar thresholds. This replaces that with a model that prices the risk factors that actually matter — financial exposure, counterparty, regulatory complexity, strategic fit, operational load. Returns a defensible number plus mitigations balanced enough that the counterparty will take them. Legal scales; sales and procurement self-serve.
Emily CabreraAGC
Clients want lawyers to tell them what they would do. Technically excellent lawyers are expected. However, the lawyers who create the most value are not those who simply understand the law, but those capable of applying that domain knowledge to practical solutions and seeing the broader picture. ClauseGuard provides a structured, commercially nuanced first-pass contract review against your organisation’s playbook, enabling lawyers at all levels to reinvest time more efficiently in the increasingly in-demand human skills of relationship building, creativity, collaboration, empathy, balanced negotiation, and pragmatic decision-making. Every redline in ClauseGuard fights for its place. Rather than simply flagging legal issues, it explains the commercial reasoning and nuance behind each proposal — helping lawyers understand why a clause matters not just within the contract itself, but within the wider context of the business. By providing a consolidated view of contractual risk, obligations, and commercial considerations, ClauseGuard helps in-house legal teams negotiate strategically, not only for the contract at hand, but with a view to the next one — fostering stronger, long-term relationships with colleagues, suppliers, and stakeholders across the organisation and beyond.
Awais HussainUK Qualified Lawyer
AI-powered contract review tool that reads consumer agreements and generates plain-language reports identifying problematic clauses — forced arbitration, class action waivers, hidden fees, auto-renewal traps, and unconscionable terms. Each finding cites the relevant statute (TILA, FTC Act, Magnuson-Moss, UCC, state UDAP laws) and maps to specific contract sections. Built with Python and Claude API.
Rebeccah H.Legal OperationsAmbrose is a collaborative AI contract review assistant built specifically for attorneys who need surgical precision, not wholesale rewrites. Unlike blunt AI tools that dump a wall of generic redlines, Ambrose breaks the review into phases — intake, risk analysis, clause-by-clause collaborative review, and finalization — so the attorney stays in control of every decision. It builds a complete risk map of the entire document, understanding how clauses interact across sections rather than treating each paragraph as an island. When a risk is identified, the attorney sees exactly what's wrong, why it matters, and can request a targeted revision that modifies only the specific language at issue. Attorneys can flag clauses for client discussion, filter and search by risk level, and navigate the document's conceptual structure — not just scroll through pages. The result is a polished Word document with track changes preserving the original formatting, plus a client transmittal email, ready to send without copying and pasting a single line.
David RubensteinReal Estate AttorneySara is an AI drop-in replacement for a senior law firm transactional associate. She can be granted skills for real estate, corporate, tech transactions, or any transactional practice, and she has guidance for how to create new skills. With a given skill enabled, she and a team of agents will review, comment on and thoroughly revise any contract based on a few basic instructions. She turns what could take 8+ hours of associate time into around 15 minutes with the highest quality output.
David RubensteinReal Estate Attorney
A Python library for comparing legal documents and generating human-readable redlines. Built in 2021 when Singapore's statutory simplification exercise needed something better than git diff. Now downloaded 170,000+ times a month on PyPI and used in Andrew Ng's DeepLearning.AI course.
Hou Fu AngSenior Legal Counsel
Skill to draft ustom YC SaaS template.
Victor Wangfounder/ceoA library that applies word-level text diffs to Microsoft Word using the Office.js API, preserving formatting with granular tracked changes. Solves a kernel-level problem: deterministic, structural document transformation.
Yu Chou TeoGovernment LawyerGenerate playbooks from contracts and review contracts against those playbooks — encoding the kind of structured legal reasoning typically done manually — with changes tracked in native DOCX redlines.
Yu Chou TeoGovernment LawyerMS Word add-in that applies AI-generated edits as tracked changes using the office-word-diff library. Includes a taskpane UI for prompt management and connects to LLMs like Ollama — run it locally, keep your data.
Yu Chou TeoGovernment LawyerNode.js CLI tool that lets AI agents apply tracked changes and comments to DOCX files using SuperDoc’s headless mode. Uses stable block IDs for deterministic edits instead of fragile text matching, supports multi-agent merging with conflict resolution, and produces native Word revisions.
Yu Chou TeoGovernment LawyerContract redlining tool — upload a contract, XML is injected to apply the redlines, and the marked-up contract is returned. Backend running entirely on a client side as a Google Chrome extension. Available on Chrome Store.
Contract redlining tool — upload a contract, XML is injected to apply the redlines, and the marked-up contract is returned. Developing a Chrome extension that runs the backend locally on the user’s machine to simplify deployment and preserve data sovereignty.
Custom Word add-in with party-aware context that understands who you represent, risk appetite dials that adjust drafting to your commercial stance, a searchable definitions panel, visual mind maps for topic-based contract overview, a negotiate mode where AI personas argue points back and forth, and persistent deal context that shapes all AI responses.
Open-source clause library that makes contracts shorter by letting lawyers incorporate standard language via hyperlinks instead of copying boilerplate. Draft by exception — only write what’s different from the standard. Version-lock clauses with date-stamped URLs so references don’t shift under you.
Upload any contract or legal document, and it will display as 2 panes. 2nd pane summarises the contract in plain English (with optional Chinese and Hindi output language) and also allows you to highlight clauses for a more detailed explanation, while still retaining the simple plain English. You can also ask the chatbot for questions directly related to the contract. Designed for non-legal individuals, BYOK, designed to be forked.
Joshua WongCredit Risk & Debt Recovery ManagerAs part of a project to build contract analysis tooling for a commercial legal team, I built out a method for non-Legal Quant team members to contribute to the improvement of the system in a fun and engaging way: a gamified interface for QAing the result of both AI and human-generated contract analysis. The output of this tool goes back into a tabular review system and, over time, increases the accuracy of the AI contract extractions. Built a tool for users of an internal tabular review system to either approve or disapprove of a human comparison to AI analysis done by a tabular reviewsystem. Demo video provided.
John DiddayVP, Legal in Tech
Built a tool to apply internal team proposals to legal team templates; conduct tabular review of a medium-volume set of contracts; and to do in-depth review of a single contract. Additionally/separately, built a command line interface high-volume contract analyzer to conduct a "portfolio-level" review of contracts for a company, effectively a contracts lifecycle management augmentation.
John DiddayVP, Legal in Tech
AI-powered document redaction that runs entirely on your machine. Drag-and-drop a contract, review what gets redacted, then export and download the clean file — the document never leaves your device. The redacted document can then be safely uploaded to other AI contract analysis tools for substantive review. Built on Microsoft Presidio and spaCy en_core_web_lg for reliable, production-quality entity detection. Users can optionally layer on BERT-based NER (dslim/bert-base-NER) as a toggle for deeper coverage of unusual names and organisations.
Sze Yao TanState Counsel
AI-powered document review workspace that transforms unstructured contracts into structured datasets. Upload contracts and automatically extract key terms, dates, and obligations into a searchable, sortable table format. Ideal for due diligence and portfolio review.
Jamie TsoFunds Lawyer
Bring contracts to life by spawning AI personas for each party. Simulate how agreements behave under different scenarios — stress-test clauses, roleplay negotiations, and surface hidden risks before signing.
Jamie TsoFunds Lawyer
AI agent that autonomously redlines contracts. Give it natural language instructions describing your negotiation position, and it produces a fully marked-up document with tracked changes — no manual editing required.
Jamie TsoFunds Lawyer
Instant document redline comparison with AI-powered change summaries. Upload two versions of a document and instantly see a side-by-side comparison with highlighted changes and an AI-generated summary of what changed and why it matters.
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