An AI-powered legal research assistant that provides legal advisory, case outcome prediction, and report generation services.

• Legal Advisory: Get comprehensive legal advice based on uploaded documents
• Case Outcome Prediction: Predict likely case outcomes with probability assessments
• Legal Report Generation: Generate structured legal reports with key findings and recommendations

• Backend: FastAPI, LangChain, Groq API
• Frontend: Streamlit
• Document Processing: PyPDF2
• AI Model: Llama-3.1-8b-instant via Groq

• Python 3.8+
• Virtual environment (recommended)

1. Clone the repository:

git clone https://github.com/Ranjith00005/LawLens.git
cd LawLens

2. Create and activate virtual environment:

python -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate

3. Install dependencies:

pip install -r requirements.txt

4. Set up environment variables:

cp .env.example .env
# Edit .env with your API keys

1. Start the backend server:

cd backend
uvicorn hybrid_main:app --host 0.0.0.0 --port 9001 --reload

2. Start the frontend (in a new terminal):

cd frontend
streamlit run app.py

3. Open your browser and navigate to the Streamlit URL (typically http://localhost:8501)

1. Upload one or more PDF legal documents
2. Enter your legal query
3. Select the desired service:
   • Legal Advisory
   • Legal Report Generation
   • Case Outcome Prediction
4. Click "Get Response" to receive AI-powered insights

• GET / - Welcome message
• POST /legal-advisory/ - Get legal advice
• POST /case-outcome-prediction/ - Predict case outcomes
• POST /report-generator/ - Generate legal reports

1. Fork the repository
2. Create a feature branch
3. Make your changes
4. Submit a pull request

This project is licensed under the MIT License - see the LICENSE file for details.

This tool is for informational purposes only and does not constitute legal advice. Always consult with qualified legal professionals for actual legal matters.