A decade shipping AI/ML into regulated production (financial services, telecoms, public sector) and a contract-review pipeline benchmarked in the open against the CLAUSE legal dataset, weak categories included.
Not client logos we can't name. Production systems with real adoption numbers, a measured accuracy lift, and a reproducible legal benchmark you can interrogate yourself.
Want to know whether your contract family is a fit for a sprint? Book a 20-min scoping call →
A document-generation system shipped into a large regulated organisation and adopted across the business at 98% output acceptance. This is the production reliability and review discipline the contract-review pipeline is built on.
2,000+ users · 98% output acceptance · in production.
A production checklist/review system measured against a defined accuracy target, then calibrated and improved. The same measure-then-calibrate method gets applied to your playbook in a sprint.
83% → 96% measured accuracy lift · production workflow.
Recall by contradiction type on the public CLAUSE legal benchmark, including the categories where the pipeline is weakest. Reproducible and audit-defensible, not a single marketing number.
Inconsistency 0.83 · Ambiguity 0.78 · Omission 0.56 · Drift 0.44 · Structural 0.22-0.60.
See the methodologyBring one contract family, your review playbook (or current checklist), and the rough contract volume. In 20 minutes we'll tell you whether it's a fit and what a sprint would look like.
OpsSolved does not provide legal advice or regulatory representation. We deliver evidence-backed findings and review artifacts; your legal and compliance teams validate findings and make final decisions.