Legal AI Document Processor

Example Use Cases

• 1

  Ingest and analyze legal documents for clause extraction and risk detection.

• 2

  Generate compliance suggestions and synthesize audit reports based on legal analysis.

• 3

  That require integration of multi-agent workflows with dynamic model routing for complex document processing.

Description

This system uses LangGraph, Google Gemini AI, and MCP to ingest, parse, and analyze legal documents, identify risky clauses, and generate compliance suggestions and reports. It supports multiple document formats and compliance frameworks, providing detailed audit trails and professional markdown reports. The architecture features two connected Agentic Development Kits (ADKs) for modular processing and advisory functions, enabling efficient and comprehensive legal document review.