AI Contract Review: From Spot Checks to Systematic Accuracy
Published 2025-08-26
Contract AI moves review from scattered spot checks to measurable accuracy. This article outlines a practical approach to triage clauses, flag risk, and prove quality with evaluation data.
Successful teams combine retrieval‑augmented generation with clause libraries and audit trails. Rather than chasing perfect automation, they aim for dependable assists—drafting first passes, surfacing fallback language, and highlighting the deviations that matter.
This article shares practical checklists: how to pick pilot use cases, set acceptance thresholds, and measure outcomes like cycle time, error rates, and adoption. The goal is simple: tools that help legal and business teams reach agreement faster without increasing risk.