Legal Research Assistant

This project is an AI-powered legal research assistant that leverages LangChain, Neo4j, and Google Generative AI to provide comprehensive legal analysis, case law research, statute and regulation lookup, and document drafting assistance.

Features

• ⚖️ Comprehensive Legal Analysis
• 🔍 Case Law Research
• 📑 Statute and Regulation Lookup
• 📝 Document Drafting Assistance

Setup Instructions

Prerequisites

• Python 3.8 or higher
• Neo4j database
• Google Generative AI API key
• GROQ API key

Installation

1. Clone the repository:

   git clone https://github.com/SURESHBEEKHANI/Legal-Research-GraphRAG.git
   cd Legal-Research-GraphRAG

2. Install the required Python packages:

   pip install -r requirements.txt

3. Set up environment variables:

   export NEO4J_URI=your_neo4j_uri
   export NEO4J_USERNAME=your_neo4j_username
   export NEO4J_PASSWORD=your_neo4j_password
   export GROQ_API_KEY=your_groq_api_key
   export GEMINI_API_KEY=your_gemini_api_key

Running the Application

1. Start the FastAPI backend:

   uvicorn backend:app --host 127.0.0.1 --port 9999

2. Start the Streamlit frontend:

   streamlit run app.py

Usage

1. Open your web browser and navigate to http://localhost:8501.
2. Enter your legal query in the input box and interact with the AI-powered assistant.

Project Structure

• LegalResearch.py: Contains the core logic for entity extraction, data retrieval, and question processing.
• app.py: Streamlit application for the frontend interface.
• backend.py: FastAPI application for the backend API.

Contributing

Contributions are welcome! Please open an issue or submit a pull request for any improvements or bug fixes.

License

This project is licensed under the MIT License.