Project Results
Technical Highlights
FIM Agent Dual-Track
Workflow ensures compliance while Planner handles autonomous judgment, deeply fitting complex scenarios
Verbatim Grounding
AI conclusions are strictly anchored to original text clauses for full traceability, addressing the "forgetting" issue
Intelligent Provenance
Problem-Basis-Logic-Conclusion: full chain explainability, rejecting black-box operations
Three-layer Knowledge Arch
Global/Org/Tenant isolation, achieving "default isolation, on-demand sharing"
Client Background
This large government legal agency handles a massive volume of complex legal texts and compliance documents. The traditional manual mode faced challenges of long case files and multiple compliance dimensions (hundreds of rules). Early attempts with generic LLMs were limited by context windows and hallucination issues, failing to handle extra-long files with the necessary explainability for rigorous compliance.
Technology Stack
From Challenges to Solutions
System Architecture Design
Innovative 3-tier knowledge architecture (Global/Org/Tenant) enabling 'default isolation, scalable sharing'
Context-driven Agent SDK supporting dual-track scheduling: Workflow (Deterministic) + Planner (Autonomous)
Business-oriented Agent Matrix covering intelligent pre-check and full lifecycle risk control of complex legal texts
Phased Implementation
Core Foundation Building
Completed FIM Agent framework development, established three-layer knowledge architecture, and built high-quality legal evaluation datasets
Agent Swarm Development
Developed agents for regulatory pre-review, deep risk control, and clause consistency; optimized RAG retrieval performance
Demonstration & Scaling
Deployed at relevant agencies and subordinate units; expert evaluation showed significant overall processing efficiency improvements
Core Foundation Building
Completed FIM Agent framework development, established three-layer knowledge architecture, and built high-quality legal evaluation datasets
Agent Swarm Development
Developed agents for regulatory pre-review, deep risk control, and clause consistency; optimized RAG retrieval performance
Demonstration & Scaling
Deployed at relevant agencies and subordinate units; expert evaluation showed significant overall processing efficiency improvements
Client Testimonial
“Previously, reviewing a complex case took days of cross-referencing hundreds of clauses. Now, the AI agent provides a complete reasoning chain with verbatim grounding, reducing our workload significantly while maintaining rigor.”