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TransData · 2023 – 2026
Multi-agent legal Q&A for enterprises
Role: Senior ML Engineer
92% accuracy in legal Q&A
40% fewer support tickets
89% user satisfaction
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
Stack
LangGraphLangChainCrewAIChromaDBFaissAWSOkta
Want to see it working?
Run the live demo, or send an inquiry to talk about your version of this.