12-legal-contract-extraction

Legal Contract Data Extraction

A notebook demonstrating automated legal contract analysis and structured data extraction using Contextual AI's platform. This approach can be generalized for any type of data extraction from unstructured documents.

📋 Overview

This example showcases how to build a specialized AI agent for legal document analysis that can:

1. Ingest multiple legal contracts into a structured datastore with metadata
2. Create a specialized legal analysis agent with custom prompts for extraction
3. Extract structured Y/N/IDK responses to due diligence questions
4. Process batch queries across multiple documents efficiently
5. Export results in structured formats (JSON/CSV) for downstream analysis

🗂️ Project Structure

📁 Legal Contract Extraction/
├── 📁 data/                                    # Sample legal contracts
│   ├── 📄 QuakerChemicalCorporation.pdf       # Non-compete agreement
│   ├── 📄 western.pdf                         # Legal contract
│   └── 📄 vivintsolar.pdf                     # Solar services contract
├── 📓 legal_contract_extraction.ipynb         # Main extraction notebook
└── 📄 README.md                               # This file

🚀 Quick Start

Prerequisites

• API Key: Contextual AI API key
• Python Environment: Google Colab or Jupyter with internet access
• Dependencies: contextual-client, pandas, requests

Run on Google Colab

🤝 Next Steps

• Scale to Multiple Documents: Process entire contract portfolios
• Enhanced Metadata: Add contract dates, parties, and jurisdiction information
• Complex Extraction: Extract specific clauses, dates, and monetary amounts
• Integration: Connect to legal tech platforms or document management systems