Legal Document AI Simplifier

Problem Statement

Legal documents are often written in complex, technical language that makes them inaccessible to the general public. This creates a barrier to understanding legal rights, obligations, and processes.

Solution

An AI-powered web application that:

• Simplifies Legal Language: Converts complex legal jargon into plain English
• Explains Legal Terms: Provides definitions and examples for legal terminology
• Generates Summaries: Creates concise summaries of legal documents
• Interactive Interface: User-friendly web interface for document upload and analysis

Features

• 📄 Multi-format Support: PDF, DOCX, and plain text documents
• 🤖 AI-Powered Analysis: Uses OpenAI's GPT models for intelligent document processing
• 📝 Smart Summarization: Generates easy-to-understand summaries
• 🔍 Term Explanation: Interactive tooltips for legal terms
• 💡 Plain English Translation: Converts legal language to everyday speech
• 📱 Responsive Design: Works on desktop and mobile devices

Technology Stack

• Backend: Python Flask
• Frontend: HTML, CSS, JavaScript
• AI: OpenAI GPT models via LangChain
• Document Processing: PyPDF2, python-docx
• UI Framework: Streamlit (alternative interface)

Installation

1. Clone the repository:

git clone <repository-url>
cd legal-document-ai

2. Install dependencies:

pip install -r requirements.txt

3. Set up environment variables:

cp .env.example .env
# Edit .env with your OpenAI API key

4. Run the application:

# Flask version
python app.py

# Streamlit version
streamlit run streamlit_app.py

Usage

1. Upload Document: Drag and drop or select a legal document
2. AI Processing: The system analyzes the document using AI
3. View Results: See simplified text, explanations, and summary
4. Interactive Features: Click on terms for detailed explanations

API Endpoints

• POST /upload - Upload and process documents
• GET /simplify - Simplify legal text
• GET /explain - Get term explanations
• GET /summarize - Generate document summary

Contributing

Contributions are welcome! Please read our contributing guidelines and submit pull requests.

License

MIT License - see LICENSE file for details.

Support

For support and questions, please open an issue in the repository.