zfryrgnci/compliance-audit-ai — explained in plain English
Analysis updated 2026-05-18
Score a legal contract's compliance risk automatically instead of manual review.
Get an automatically drafted amendment for a clause that fails a compliance rule.
Scan dozens of contract clauses in parallel for fast turnaround.
Build a compliance dashboard for reviewing many contracts at once.
| zfryrgnci/compliance-audit-ai | 0xkinno/neuralvault | 0xmayurrr/ai-contractauditor | |
|---|---|---|---|
| Stars | 1 | 1 | 1 |
| Language | TypeScript | TypeScript | TypeScript |
| Setup difficulty | easy | hard | easy |
| Complexity | 2/5 | 4/5 | 2/5 |
| Audience | general | developer | developer |
Figures from each repo's GitHub metadata at analysis time.
Requires a free Google Gemini API key and Node.js version 24 or later.
Compliance Audit AI is a web application that reviews long legal contracts and checks them against a set of rules the project calls Golden Rules. Instead of a person reading through a contract clause by clause, the tool scans it and produces an exact risk score out of 100 based on how well the contract matches those rules. The scoring is meant to be deterministic, meaning the same contract and rules should produce the same score every time, rather than a vague AI opinion that changes between runs. Under the hood it uses Google's Gemini AI model to read and classify clauses, with the AI's output constrained to a strict JSON format so the scoring logic can process it reliably. When a clause is missing or does not comply with a rule, the tool can automatically draft a suggested amendment to fix it. The interface is built with React and Tailwind CSS, with animations handled by Framer Motion, and clauses are scanned in bulk and in parallel so a large contract does not take long to process. The backend is written in Node.js and Express using TypeScript, and it exposes the scoring engine and clause parsing as an API the frontend calls. To run it yourself you need Node.js version 24 or later and a free Gemini API key from Google AI Studio. After cloning the repository and running npm install, you add your API key to a .env file and start the app with npm run dev. The project also includes a test suite written with Vitest and Supertest for checking the backend routes. It is released under the MIT license and was created by a single developer, who invites others to fork, star, and adapt it for their own contract review work.
A web app that scores legal contracts for compliance risk using Google's Gemini AI, producing a 0-100 risk score and suggested fixes.
Mainly TypeScript. The stack also includes React, TypeScript, Node.js.
Use freely for any purpose, including commercial use, as long as you keep the copyright notice.
Setup difficulty is rated easy, with roughly 30min to a first successful run.
Mainly general.
This repo across BitVibe Labs
double-check against the repo, no cap.