AI redlining uses software to compare contract wording, suggest changes or flag language that differs from a preferred position. It can reduce manual review time, especially when teams see similar agreements again and again.
Used well, AI redlining supports judgement. It should not replace it.
What AI redlining can do
AI redlining can help identify missing clauses, unusual wording, risky positions, inconsistent defined terms and differences from a template or playbook. It can also help reviewers focus on the parts of a contract that need attention.
For repeatable contracts, this can make review faster and more consistent.
Where redlining needs care
Contract wording depends on context. A clause that looks unusual may be acceptable for a low-risk agreement, but unacceptable for a larger or regulated deal. AI suggestions should be checked against the commercial context, bargaining position and applicable law.
Build a playbook first
AI redlining works best when the team has a clear playbook. The playbook should say which clauses are preferred, which fallback positions are acceptable and which changes require escalation.
Review outputs and learn
Track which suggestions reviewers accept, reject or edit. This can show where templates need improvement and where the AI review process needs more guidance.
This article is general information, not legal advice.
The opinions on this page are for general information purposes only and do not constitute legal advice on which you should rely.
