AI-Contract-Clause-Identifier

A tool that scans legal/financial contracts and flags high-risk clauses (indemnification, liability caps, warranty terms, etc.), helping businesses quickly assess potential exposure.

🎯 Target Clauses (Red Flags)

This project focuses on detecting the following high-risk contract clauses:

1. Indemnification – Obligations to cover losses or damages.
2. Limitation of Liability – Caps on damages a party must pay.
3. Warranty / Defects – Promises about product/service quality.
4. Termination Clauses – Conditions under which the contract ends.
5. Confidentiality / Trade Secrets – Restrictions on sharing information.

AI Contract Clause Identifier

This project uses NLP (starting with regex, later with spaCy/Legal-BERT) to identify high-risk clauses in contracts, such as indemnification, limitation of liability, warranty, termination, and confidentiality.

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🚀 Quick Start (Colab)

You can run this project directly in Google Colab:

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📂 Repository Structure

• contracts/ → sample agreements
• scripts/target_clauses.json → list of clauses & regex patterns
• scripts/detect_clauses_regex.py → main detector script
• outputs/ → reports (CSV)
• notebooks/demo.ipynb → interactive demo notebook

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📝 Example Output

file	clause	paragraph	snippet
NDA.docx	confidentiality	12	“The parties agree to keep confidential…”
MSA.pdf	limitation of liability	18	“Liability shall not exceed fees paid…”

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💻 JavaScript & TypeScript Support

The project now includes a full JavaScript + TypeScript implementation for clause detection.

✔️ Features

• Browser-based scanner
• Node-compatible script
• Shared pattern file (clauses.json)
• Upload → Scan → Highlight high-risk clauses

📁 File Structure

/js
 ├── src
 │    ├── detectClauses.js
 │    ├── clauses.json
 │    └── detectClauses.ts
 └── demo
      ├── index.html
      ├── styles.css
      └── app.js

▶️ Run the Browser Demo Locally

1. Download js/demo/index.html
2. Upload a .txt, .docx, or .pdf file (must be text-extractable)
3. Click Scan
4. High-risk clauses will be highlighted automatically