About
Built on research, not hype
TriageCounsel was built for small and mid-sized law firms to solve a specific problem: AI contract tools make decisions they can't explain. We separated the two concerns — deterministic rules decide, AI explains.
Our Approach
Most AI contract tools treat the entire analysis as a single LLM prompt. This makes results non-deterministic, non-auditable, and impossible to verify.
TriageCounsel decomposes the problem into two layers: a deterministic rule engine that identifies risks using pattern matching and structural analysis, and an LLM explanation layer that translates findings into plain language.
Peer-Reviewed
TriageCounsel's dual-layer architecture was peer-reviewed and accepted at the International Conference on Computational Science (ICCS 2026).
The research demonstrates that deterministic rules with AI explanations achieve higher accuracy, consistency, and auditability than end-to-end LLM approaches.
Read the paper →Our Mission
Make contract risk analysis deterministic, auditable, and accessible — so small and mid-sized law firms can trust the output and focus on what matters.
Founder
Founded by Santhosh Guntupalli, a data engineer and AI researcher whose work on deterministic execution frameworks for hybrid AI systems was published at ICCS 2026 (Springer LNCS) and submitted to IEEE TPS 2026.