AI-Powered Contract Review: Where Firms Actually Win
A step-by-step approach to triage, clause extraction and variance checks that saves time without losing control.
Most value in AI contract work comes from repeatability. If you can make routine reviews consistent, you can move faster and raise quality. Here’s a pragmatic setup.
Start with a narrow slice
Pick one common document (for example, NDA or supplier MSA) and define what “good” looks like: required clauses, thresholds, fallbacks.
Three useful building blocks
- Triage. Sort documents by type/version; route out-of-scope items early.
- Clause extraction. Pull the clauses you care about (termination, liability cap, IP, confidentiality).
- Variance checks. Compare against your playbook: green (meets standard), amber (requires approval), red (reject).
Human-in-the-loop
Keep a reviewer on every pass. AI surfaces the changes; humans decide the posture and rationale.
Measuring success
- Turnaround time per document
- % of amber/red caught at triage
- Variance from fallback positions
- Escalations avoided
OrdoLux helps encode your playbook, produce consistent check notes, and keep an auditable trail for sign-off.
General information for practitioners — not legal advice.
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