Can ChatGPT Effectively Review Contracts? Benefits and Challenges

Contract review is slow work by design — every clause has to be checked against the deal terms, prior drafts, and applicable law before anyone signs. ChatGPT can read and summarize a contract in seconds, which is why legal teams keep asking whether it can actually do the job. The honest answer: it’s useful for a first pass, and it has specific, well-documented failure modes that make it a poor substitute for a lawyer’s final review.

Note: this is general commentary on ChatGPT’s known capabilities and documented limitations for contract review, not a first-person product test by Spotsaas — we don’t run a legal-review workflow through ChatGPT ourselves.

What ChatGPT can do with a contract

ChatGPT can read a contract’s text and summarize what it says, flag clauses that look inconsistent with each other, and help draft or edit contract language faster than starting from a blank page. For a first pass across a long or repetitive document — spotting where a term is defined one way in section 2 and used differently in section 9, for instance — that’s genuinely useful, and it’s why contract-review tools built on top of large language models have become common in legal tech over the last two years.

Where it breaks down

Jurisdiction and precision

Contract language is often jurisdiction-specific, and a model trained on general text doesn’t reliably know which rule applies where, or when a seemingly standard clause has been modified by local statute. Treat its interpretation as a starting point that a lawyer verifies, not a final answer — especially on anything jurisdiction-specific or unusual.

Compliance is not a checklist ChatGPT can complete

ChatGPT can flag a missing clause or an internal inconsistency, but confirming a contract meets current regulatory requirements takes domain expertise and up-to-date knowledge of the relevant rules — something a general-purpose model isn’t positioned to guarantee. Legal teams should treat its output as a starting point for a compliance review, not the review itself.

Confidentiality risk

This is the most concrete, practical risk: pasting a real contract into a consumer AI tool means sending proprietary terms and client information to a third party. Several law firms and companies have restricted or banned pasting client documents into public AI tools for exactly this reason. Any legal use needs an enterprise agreement with the right data-handling terms, encryption, and access controls — not the free consumer product.

Fabricated citations are a documented, real failure mode

This isn’t theoretical: in Mata v. Avianca (S.D.N.Y. 2023), a lawyer submitted a brief containing case citations ChatGPT had invented — cases that didn’t exist — and the court sanctioned the attorneys involved. It’s the clearest public example of why AI output in a legal context needs verification against real sources before it goes anywhere near a filing or a signed agreement.

What this means in practice

The realistic use case is augmentation, not replacement: ChatGPT (or a purpose-built legal-AI tool) speeds up the first pass — summarizing, flagging inconsistencies, drafting a rough version of a clause — and a lawyer verifies anything that matters before it’s relied on. Firms adopting this workflow generally start with lower-stakes, high-volume review (routine NDAs, standard vendor agreements) rather than jurisdiction-sensitive or high-value contracts, and keep a human sign-off step regardless of which tool did the first pass.

Frequently asked questions

Can ChatGPT review a contract?

It can read and summarize one, and flag some inconsistencies — but it shouldn’t be the final review. Known failure modes include jurisdiction-specific misses, incomplete compliance checking, and fabricated citations if asked to reference case law.

Is it safe to paste a real contract into ChatGPT?

Not the free consumer version, if the contract contains confidential or client information — that data goes to a third party. Legal use requires an enterprise agreement with appropriate data-handling terms.

Has an AI tool actually caused a real legal problem in a contract or filing?

Yes — in Mata v. Avianca (2023), a lawyer’s court filing cited cases ChatGPT had fabricated, and the attorneys were sanctioned. It’s the most cited real-world example of why AI legal output needs verification.

Sources

• Mata v. Avianca, Inc., No. 22-cv-1461 (S.D.N.Y. 2023) — sanctions order regarding fabricated case citations generated by ChatGPT

Last updated: July 28, 2026. General commentary based on documented, publicly reported capabilities and limitations — not a first-person Spotsaas product test.