
Detecting Contract Risk with AI: Signals that Matter
Published 2025-08-26
From data protection to indemnities, risk shows up as patterns. We discuss which signals belong in your pipeline.
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.
Related reading: Integrating AI into Legal Ops: Start Small, Measure Big · Clause Drafting with AI: Reuse, Adapt, Verify