DocuChat AI

The Challenge

A legal services company's team was spending 6+ hours per week manually searching through contract PDFs for specific clauses. Standard keyword search was insufficient — they needed semantic understanding of document context.

Our Solution

We built a Next.js interface with a Python LangChain backend. Documents are chunked, embedded using OpenAI text-embedding-3-large, and stored in a Pinecone vector database. Retrieval-augmented generation (RAG) fetches semantically relevant chunks before passing them to GPT-4 for answer synthesis. Source citations are returned alongside every answer.

The Result