Deterministic Rules Decide.
AI Explains.
Built for small and mid-sized law firms. Upload any client contract and get an auditable risk report in seconds — deterministic rules catch what matters, AI only explains why.
How It Works
Three steps to auditable risk analysis
Upload Your Contract
Upload a PDF or DOCX. TriageCounsel extracts text using deterministic parsing — no AI involved in extraction.
Rules Engine Analyzes
A growing library of deterministic rules scans for risk patterns. Every finding is traceable to a specific rule and clause.
AI Explains Findings
An LLM generates plain-language explanations for each finding. It explains — it never decides.
Why TriageCounsel Is Different
Deterministic, not probabilistic
Other AI Contract Tools
- AI makes the decisions — black box
- Results change between runs
- No audit trail for findings
Triage Counsel
- Deterministic rules decide — fully auditable
- Same input always produces the same output
- Every finding links to rule ID and clause
Engine Validation
Every rule, every release, verified
The rule library isn't a fixed catalog — it grows every release, and every rule added goes through this same check before it ships.
- Detection rules in the engine
- Every rule maps to a scored, 11-factor severity vector · +5 this release
- Automated tests
- Positive, negative, and messy-formatting cases per rule · +11 this release
- Real SEC contracts analyzed
- Party-named filings, 4K–720K characters each, 12 practice areas
- Engine crashes on real filings
- Messy PDF-extracted text, inconsistent formatting, redactions
- False positives found & fixed
- Read against the actual matched clause text, then reverified on the same 63 documents
- Coverage gaps discovered & closed
- Real clause types the ruleset didn't yet cover, found via the corpus above
- Deterministic reproducibility
- Same document in, same findings out, every time
Rule count by release
185 today — next release already in progress
Peer-Reviewed Research
Published at ICCS 2026
TriageCounsel's architecture was peer-reviewed and accepted at the International Conference on Computational Science (ICCS 2026). Read the full paper and benchmarks.
Read the ResearchStart reviewing contracts today
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