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Legal Tech RAG

Legal Document Analysis

RAGVector SearchPineconeLangChain

Overview

Lawyers spend up to 40% of their time searching for information. We built a private, secure search engine for a mid-sized law firm. By ingesting over 50,000 case files and legal precedents, we enabled their associates to ask complex legal questions and get cited, accurate answers in seconds.

The Challenge

Knowledge workers wasted hours searching through improved internal documentation to find specific clauses or data points.

The Solution

We implemented a semantic search engine that allows natural language querying of the entire document base.

Key Features

  • High Accuracy: Advanced chunking and retrieval strategies to minimize hallucinations.
  • Source Citation: Every answer links back to the collaborative source document.
  • Secure: Role-based access control (Chinese Wall) for sensitive data.