AI is changing how contracts are reviewed. It can read a contract in moments and draft a first summary, but it cannot be held accountable for the decision.
Surveys now suggest that AI in contract review has moved from experiment to routine. For many teams the question is no longer whether to use it, but how to use it safely.
This page looks at what is changing, what the evidence says, where AI stops, and why a named person still decides.
Claphmont | 13 November 2026 | 6-minute read
Five things are changing. Each one moves effort away from reading and towards checking and deciding.
LegalOn’s 2026 survey of 452 in-house legal professionals found 52% using or evaluating AI for contract review, with active use nearly four times higher than in 2024. It is a vendor’s survey, so read it as the direction of travel, not a precise count.
Software extracts the key terms and flags wording that may carry risk. In the same survey, 78% were comfortable delegating first-pass review to an AI agent, provided an attorney supervises. The word that matters is supervised.
LegalOn argues, as reported by Legal Dive, that review is a good fit for three reasons: the standards are defined, one document at a time is easier to verify, and the task is mostly finding standard clauses and departures from them.
The same article cites a Stanford study in which AI legal research tools gave inaccurate information up to a third of the time across 200 queries. The lesson is to check the output, not to avoid the tool.
When AI does the first read, the useful question becomes: where did this finding come from? CIP shows each finding with the clause and page it came from, so the reviewer checks it against the source instead of trusting it.
Every CIP review has a named reviewer who records a decision and a comment. The person who submitted the contract cannot approve their own review. The decision, the reviewer and the comment are kept with the report.
A liability cap that is acceptable for a small supplier may be unacceptable for a critical one. Only the business knows the difference.
Findings can be incomplete or mistaken, so they need checking against the contract. A finding is only useful if it can be checked.
Software cannot approve an outcome or answer for it. A person has to.
In the LegalOn survey, 59% cited data privacy and confidentiality as a challenge. CIP is built on Microsoft Azure and powered by Azure AI. Whichever provider you consider, ask where your contracts are processed and who can see them.
CIP helps you turn contract documents into decision-ready intelligence by standardising the review process and linking each finding to its source. It works in three stages.
The key terms and risks are extracted, so the reviewer starts from a shortlist instead of a blank page.
Each finding is linked to the clause and page it came from, so it can be checked rather than trusted.
A designated reviewer approves the outcome and adds a comment. A report is produced for the decision meeting.
CIP delivers contract review today, covering submission, analysis, review, approval and reporting. Obligation tracking, renewal dates and alerts are not included yet.
Other uses, such as procurement and supplier evaluation, are built and adapted with you before use. CIP supports decision-making. It does not make decisions and does not provide legal advice.
Q: Does AI replace the reviewer?
A: No. The reviewer approves and is accountable.
Q: What if the AI is wrong?
A: The reviewer checks each finding against its source before approving.
Q: Can I trust AI output on a contract?
A: Treat it as a first pass. Check each finding against the clause and page, then decide.
Q: What do I get at the end?
A: A report in PDF, Word or PowerPoint.
Q: Does CIP give legal advice?
A: No. CIP supports decision-making. It does not make decisions and does not provide legal advice.
Statistics on this page come from the sources named and are not CIP results. Survey figures from software vendors are indications, not benchmarks.
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This page is general information. It is not legal advice.