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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
  1. Install dependencies:
pip install -r requirements.txt
  1. Set up environment variables:
cp .env.example .env
# Edit .env with your OpenAI API key
  1. 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.