Multi-agent legal Q&A for enterprises

The problem

Enterprises needed trustworthy LLM answers over their own documents and tools.

The approach

• ▹Multi-agent orchestration (LangGraph, LangChain, CrewAI) over GPT-4, Llama, Mistral and open models.
• ▹RAG with hybrid retrieval, contextual compression and multi-stage verification.
• ▹Enterprise integrations (Okta, Jira, Databricks, SharePoint) on AWS.

The impact

• ✓92% accuracy in legal Q&A
• ✓40% fewer support tickets
• ✓89% user satisfaction

Trade-off, said plainly

Multi-stage verification adds latency, on purpose. I chose accuracy over speed for legal answers, so this is not the right architecture for a sub-second chat experience where speed matters more than a verified answer.

Stack