Multi-agent legal operations system utilizing LangGraph and MCP for complex reasoning.
Developed a sophisticated multi-agent AI system designed to streamline legal operations. Features a complex reasoning workflow that handles case management, document parsing, and automated PII redaction using isolated, custom-built MCP (Model Context Protocol) servers. The system leverages the Qwen2.5-7B open-weights model for advanced reasoning and utilizes LangGraph for stateful multi-actor orchestration.