LawGPT is an AI-driven legal assistant designed to provide instant legal guidance, simplify complex legal concepts, and help users navigate legal matters efficiently. It leverages Retrieval-Augmented Generation (RAG) to enhance responses with document-based legal knowledge.

• AI-Powered Legal Guidance: Get instant answers to legal queries.
• Legal Research: Retrieve legal precedents, statutes, and regulations.
• Privacy & Security: User data is securely processed.

• Python 3.8+
• FastAPI
• Next.js (with TypeScript, Tailwind CSS, ShadCN, DrizzleORM, Clerk, NeonDB)
• HuggingFace Instruct Embeddings
• FAISS Vectorstore
• Gemini API
• Vercel

git clone https://github.com/ayuugoyal/lawgpt
cd lawgpt
pnpm install
pnpm run dev

1. Document Upload & Embeddings:

   • Upload PDFs via FastAPI endpoint.
   • Extract text using PyPDF2.
   • Split text into chunks using langchain.text_splitter.
   • Generate embeddings using HuggingFaceInstructEmbeddings.
   • Store embeddings in FAISS vector database.

2. Search & Retrieval:

   • Accepts user query.
   • Encodes query using SentenceTransformer.
   • Searches vector store for relevant text.

3. Chat with Gemini AI:

   • Uses retrieved context for response generation.
   • Integrates Google Gemini API for enhanced answers.

Try LawGPT live at: https://lawgpt.ayuugoyal.tech/