Business Impact
Technical Highlights
FIM One 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"
Customer Context
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 Pain Points to Adoption
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
The agency rolled out FIM One, set up the three-layer knowledge architecture, and curated high-quality legal evaluation datasets
Agent Swarm Pilot
The agency configured agents for regulatory pre-review, deep risk control, and clause consistency, then tuned RAG retrieval performance
Multi-agency Scale-out
The agency extended FIM One to subordinate units; expert evaluation confirmed significant overall processing efficiency gains
Core Foundation
The agency rolled out FIM One, set up the three-layer knowledge architecture, and curated high-quality legal evaluation datasets
Agent Swarm Pilot
The agency configured agents for regulatory pre-review, deep risk control, and clause consistency, then tuned RAG retrieval performance
Multi-agency Scale-out
The agency extended FIM One to subordinate units; expert evaluation confirmed significant overall processing efficiency gains
Customer Voice
“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.”