Contract review agent. 64% faster. Zero hallucinations.

The team was serving in-house counsel and procurement users who expected speed, but the review engine behind the product still depended on manual clause tagging. Analysts were reading each agreement line by line, normalizing language into an internal taxonomy, then escalating exceptions to senior reviewers.

That workflow created a scaling problem quickly. Contract formats changed constantly, small wording differences changed risk classification, and the volume of incoming agreements was climbing faster than the review team could keep pace.

A generic LLM summary was not acceptable. The client needed deterministic extraction, source-grounded citations, and a system that refused to guess when evidence was weak.

Shellexa built a deterministic contract analysis pipeline around extraction, verification, and escalation. Documents were segmented into clause-level units, mapped into a structured schema, and checked against the firm's approved playbook before any output was accepted.

Every extracted clause carried provenance back to the underlying text, plus confidence scoring and explicit escalation rules. When the system could not match a clause cleanly, it routed the document to a human reviewer instead of inventing an answer.

An evaluation harness sat alongside the agent in production. It tracked recall for critical clause families, watched for drift as new templates appeared, and preserved a reviewable audit trail for every automated decision.

• Deterministic agent with citation verification
• Confidence scoring with human escalation
• Immutable audit trail for every extracted clause

The client cut contract review time by 64% on the workflows the agent handled, while removing manual clause tagging from the default path entirely. Analysts shifted their time toward negotiated exceptions and high-judgment review instead of repetitive extraction work.

The operational impact went beyond speed. The product team could support more customer volume without adding a parallel review function, and turnaround times became consistent enough to underpin stronger service commitments.

Most importantly, the system stayed trustworthy after launch. In the first 6 months of production, the client recorded 0 hallucinated clauses in the live workflow because low-confidence cases were escalated rather than forced through.