👩‍⚖️ Legaicy

Your AI-Powered Legal Co-Pilot

We empower users by demystifying complex legal documents and procedures.

🔎 Smart Contract Vulnerability Analysis

Our system meticulously scans smart legal contracts to pinpoint potential loopholes and security risks, helping you prevent costly errors and disputes.

🤖 Intelligent LegalBOT

Have a legal question? Get instant answers from our AI-powered LegalBOT. It understands the nuances of your query and provides responses based on the legal framework of your country, making the advice relevant and actionable. Currently available for India, USA and Germany.

🚀 Powered by Cutting-Edge AI

Our services are built on a foundation of a self fine-tuned Gemma3 model and a sophisticated multi-agent RAG architecture with FAISS, ensuring high accuracy and contextual understanding.

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👥 Team Members

• Angshuman Patar
• Suman Dutta
• Satyam Das
• Siman Jyoti Nath

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⚙️ Installation & Setup

1. Clone the repository:

• git clone https://github.com/suman-dutta2913/legaicy.git

2. Navigate into the project directory:

• cd legaicy

3. Create your virtual environment:

• conda create -p venv

4. Activate your virtual environment:

• conda activate venv/

5. Install dependencies:

• pip install -r requirements.txt

6. Ensure CUDA toolkit is installed:

• pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu118 

7. Start the FastAPI server:

• uvicorn server:app --reload

⚙️ Run React application (Separate Terminal)

1. Activate your virtual environment:

• conda activate venv/

2. Navigate into the Frontend directory:

• cd Frontend

3. Start the React application:

• npm run dev

⚙️ System Requirements

• CPU: 4-core Processor (Intel Core i5, AMD Ryzen 5 or equivalent)
• RAM: 16 GB
• GPU: NVIDIA GPU with CUDA support and at least 6 GB of VRAM (e.g., NVIDIA GeForce RTX 4050, GTX 1660 Ti).
• Storage: 10 GB of free space (SSD recommended for faster model loading).
• Software:
• NVIDIA Drivers and CUDA Toolkit 11.8 (as specified in installation).
• Git, Conda, and Node.js (v18 or higher).