LexIntellect

LexIntellect is an AI-powered legal analysis and AI Panchayat system for dispute resolution. It provides advanced tools for legal document analysis, predictive analytics, and a unique AI-driven Panchayat system that simulates diverse legal perspectives to resolve disputes fairly and transparently.

Features

• AI Legal Document Analysis: Upload and analyze legal documents for insights and predictions.
• AI Panchayat System: Present disputes to a virtual panel of AI Panchayat members, each representing a distinct legal philosophy, for multi-perspective analysis and consensus-driven resolutions.
• Community Forums: Engage with a legal community for discussions and advice.
• Predictive Analytics: Get outcome predictions for legal cases.
• User Dashboard: Personalized dashboard for managing documents, disputes, and analysis history.

What is the AI Panchayat System?

The AI Panchayat System is inspired by traditional Indian village councils (Panchayats) and modernized with AI. When a dispute is submitted, it is analyzed by multiple AI "Panchayat Members," each embodying a unique legal or ethical perspective:

• Panch Nyayamurti (Justice-Oriented): Focuses on legal principles and precedents.
• Panch Karuna (Compassion-Oriented): Emphasizes human welfare and equitable solutions.
• Panch Samaj (Community-Oriented): Prioritizes social harmony and community welfare.
• Panch Vidhi (Procedure-Oriented): Stresses proper legal procedure and due process.
• Panch Pragati (Progressive-Oriented): Adopts modern, innovative, and technological solutions.
• Panch Vishwas (Trust-Oriented): Ensures impartial, unbiased, and trust-building resolutions.

Each member provides an independent analysis and suggested resolution. The system then synthesizes these perspectives to offer a consensus decision, along with confidence scores and ethical recommendations.

Folder Structure

LexIntellect/
  ├── backend/         # FastAPI backend for AI and data processing
  │   ├── app.py
  │   └── requirements.txt
  ├── Frontend/        # Next.js/React frontend application
  │   ├── app/
  │   ├── components/
  │   ├── hooks/
  │   ├── lib/
  │   ├── services/
  │   └── types/
  ├── README.md
  └── .gitignore

Getting Started

Prerequisites

• Node.js (v16+)
• Python 3.8+
• npm or yarn
• (Optional) Virtual environment for Python

Backend Setup

1. Navigate to the backend directory:

   cd backend

2. Install Python dependencies:

   pip install -r requirements.txt

3. Run the FastAPI server:

   uvicorn app:app --reload

Frontend Setup

1. Navigate to the Frontend directory:

   cd Frontend

2. Install Node.js dependencies:

   npm install

3. Run the Next.js development server:

   npm run dev

4. Open http://localhost:3000 in your browser.

Technologies Used

• Frontend: Next.js, React, Tailwind CSS, TypeScript
• Backend: FastAPI, Python
• AI/ML: Google Generative AI (Gemini), Transformers, Sentence Transformers, BM25, FAISS
• Other: RESTful APIs, Community features

Contributing

Contributions are welcome! Please open issues or submit pull requests for new features, bug fixes, or improvements.

1. Fork the repository
2. Create your feature branch (git checkout -b feature/YourFeature)
3. Commit your changes (git commit -am 'Add new feature')
4. Push to the branch (git push origin feature/YourFeature)
5. Open a pull request

License

This project is licensed under the MIT License.