🏛️ LegalEase AI

LegalEase AI is a FastAPI-based platform that simplifies complex legal documents into clear, accessible insights using AI-powered document processing, risk analysis, and compliance checks.
It includes a web interface (Jinja2 templates) and modular Python backend components.

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📜 Features

• 📑 Document Processor – parses contracts and legal docs
• ⚠️ Risk Analyzer – flags risky clauses using regex patterns (config/risk_patterns.yml)
• 🧠 AI Client – integrates with AI models (config/models.yml)
• 🌍 Jinja2 Web UI – upload documents and view risks interactively
• 🔒 Compliance Checks – Indian law compliance patterns
• 🧪 Unit Tested – built-in tests with pytest

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⚙️ Setup Instructions

1. Clone the Repository

git clone https://github.com/Bavan23/LegalEase-AI.git
cd LegalEase-AI

2. Create and Activate Virtual Environment

python -m venv venv

# On Linux/Mac
source venv/bin/activate

# On Windows
venv\Scripts\activate

3. Install Dependencies

pip install -r requirements.txt

4.🔑 Environment Variables

Secrets (like API keys) are stored in a .env file. Do not commit .env to Git.

Create .env from template:

cp .env.template .env

5. Running the App

Run with Uvicorn (local dev):

uvicorn src.web.app:app --reload

6. 🐳 Run with Docker

Build and Run:

docker-compose up --build

7. 🧪 Running Tests

pytest tests/

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🤝 Contributing

1. Fork the repo 2. Create a feature branch:

git checkout -b feature/my-feature

3. Commit changes:

git commit -m "feat: add my feature"

4. Push and create a Pull Request