GitLaw Guides · AI & Contracts
AI Contract Review: How It Works
What AI contract review checks, how accurate it is, what it should not be trusted to do alone, and when to involve a lawyer.
Last updated September 22, 2026 · 4 min read
AI contract review uses software to read a contract and explain what its terms mean. Many AI contract review tools can also flag risky, unusual or missing clauses.
AI redlining goes one step further. It can mark the contract up, benchmarking terms against market standards or your own playbook, and return the changes as tracked edits with suggested wording.
Many businesses find contracts complex and costly: 90% of business users find contracts difficult or impossible to understand (WorldCC, 2023).
Most small businesses handle the problem without help. In the UK regulator's survey, 32% of small businesses had a legal issue in the previous 12 months, and only 25% of those used professional help. One in ten lost a customer or a contract as a result (Legal Services Board, Small Business Legal Needs Survey, 2021).
Interest in how AI contract review and redlining can reduce the time and cost of contracting has grown alongside this.
Not all AI does this job the same way.
General-purpose LLMs are not trained on law. An LLM writes by predicting the next most likely words, and it is not checking a legal source as it goes. Asked direct, verifiable questions about federal court cases, four leading general models returned hallucination rates of 58% to 88% (Dahl et al., Stanford RegLab and HAI, 2024).
Legal AI is trained for legal work. It is not one thing: different tools do different jobs, and quality varies between them. In the first independent benchmark of legal AI tools, the two tools tested on contract redlining scored 65.0% and 53.6%, against a lawyer baseline of 79.7% (Vals Legal AI Report, 2025).
On current evidence you are likely to get better results from AI built for legal work. The same benchmark shows it is still worth checking how a specific tool performs.
The short version
- Legal AI is trained on legal material. A general LLM predicts likely words.What it checks
- Speed is the clearest gain. In a 2018 test, AI read NDAs in 26 seconds and lawyers in 92 minutes (LawGeex).How it works
- Accuracy varies by tool. On redlining, two benchmarked tools scored 65.0% and 53.6% (Vals, 2025).How accurate is it?
- Contracts are confidential. Check encryption, certifications and the data policy first.Is it safe?
What does AI contract review check?
A full review covers four things: what the contract says, what it leaves out, how its terms compare, and what to do about them.
Businesses lose an average of 8.6% of annual revenue to inefficient contracting (WorldCC, 2025).
The six checks
| Check | What it covers |
|---|---|
| Risky terms | uncapped liability, one-sided termination rights, auto-renewal buried in a schedule, payment terms that differ from what was agreed |
| Unusual terms | clauses that sit outside what similar agreements use. 57% of negotiations are "non-negotiations": one side imposes its standard terms (WorldCC, 2022) |
| Missing protections | the clauses a contract of this type would normally include and this one leaves out |
| Plain-language explanation | each term restated in business language, with questions answered in the document |
| Market benchmarks | how each term compares with what is commonly used in similar agreements |
| Redlined mark-up | what to negotiate, as tracked changes to accept or reject clause by clause |
Most tools do not do all six by default. In independent benchmarking, the two tools tested on redlining scored 11.4 percentage points apart (Vals, 2025). Coverage is the first thing to check.
Which tools do what
| Approach | What it typically does | What it typically does not do | Confidentiality default |
|---|---|---|---|
| General-purpose LLM (for example ChatGPT) | summarizes a contract you paste in, answers questions about it | does not check terms against legal material, flag missing protections, or benchmark against market standard | on consumer plans, content is used to improve models by default, with an opt-out (OpenAI) |
| Contract review add-ons in general software | highlight defined terms, extract dates and parties | does not usually redline or benchmark | varies by vendor |
| Specialist legal AI | reviews against legal material, flags risk and gaps, benchmarks terms, returns tracked changes | does not advise on your specific commercial situation | business-grade controls are typical, but confirm them |
| GitLaw | covers all six checks above, benchmarks against market standard and your own past terms, returns tracked changes, and carries the contract through negotiation, eSign and storage | does not give legal advice | SOC 2 Type 2, AES-256 encryption, role-based access, GDPR and CCPA aligned |
How does AI contract review work?
Upload. The contract is uploaded or pasted into the tool.
Read and explain. The contract is read and each term is restated in business language.
Flag and benchmark. Risky terms, unusual terms and missing protections are flagged, each with why it matters. Terms are compared with what similar agreements use.
Redline. Suggested changes are returned as tracked changes, to accept or reject clause by clause.
What happens after the review varies by tool. Some stop at the mark-up. Others carry the contract through negotiation, signature and storage in one place.
That difference is where the time goes. In GitLaw user research, five of six UK agency operators switched platforms just to get a contract signed (March 2026, n=6).
GitLaw runs all four steps in one document. Edits arrive as redlines, the other side's changes come back the same way, version history records who changed what, and eSign is free and unlimited.
Meet GitLaw, the AI Agent for legal contracts. The power to understand and negotiate any contract. Built for your legal work, with practicing lawyers.
How accurate is AI contract review?
Accuracy follows what the tool is built on.
AI built for legal work. When AI trained on legal contracts reviewed NDAs alongside 20 experienced lawyers, it scored 94% against the lawyers' 85%, in 26 seconds against 92 minutes (LawGeex, 2018).
General-purpose LLMs. In a 2025 benchmark on 102 real contracts, the best general model flagged risky clauses about two thirds of the time (ContractEval, 2025). Asked direct, verifiable questions about federal court cases, four leading general models returned hallucination rates of 58% to 88% (Dahl et al., Stanford RegLab and HAI, 2024).
What no AI review does. It does not certify that a contract is right for your situation, and it is not legal advice. It gives you the understanding to negotiate. The decisions stay yours, and a person should read the contract before it is signed.
The full comparison is in GitLaw vs ChatGPT for contracts.
Is it safe to upload a contract for AI review?
It depends on the tool and the plan you are on.
Confidentiality. On consumer ChatGPT plans, content submitted is used to improve models by default, and the user has to opt out. On business, enterprise and API plans it is not, unless the customer opts in (OpenAI).
That distinction matters because the pasting is already happening: 77% of employees using gen-AI tools paste data into them, over a fifth of those pastes include sensitive data, and 82% happen through personal accounts outside company controls (LayerX, 2025).
What to check before uploading. Encryption standard, independent certification such as SOC 2, role-based access, data residency, and whether your content trains the model.
Verifiability. A review is only checkable if the tool shows its working. Look for tools that show which clause was flagged, why, and compared with what, and that propose every change as a tracked change you accept or reject.
GitLaw is SOC 2 Type 2 compliant, encrypts contracts with AES-256, limits access by role, and is GDPR and CCPA aligned. Every flag shows the clause and the reason, and every suggested change arrives as a tracked change.
Which contracts should a lawyer review?
Contracts are a common legal need for small businesses. In a California survey of small business owners with a legal need, contracts and agreements were the most frequent, named by 50% (State Bar of California, 2024 Justice Gap Study, n=121).
They do not all carry the same risk. 55% of organizations report that more than 3% of their agreements generate a serious disagreement, claim or dispute (WorldCC, 2022). Triage is what decides which contracts get more than an AI read.
- Everyday commercial documents (NDAs, service agreements, SOWs, renewals)AI review gives you a first read, the terms explained and the outliers flagged.
- Anything legal you are unsure aboutthe benchmark evidence above points to legal AI over a general LLM, with the working shown as tracked edits.
- High-stakes, regulated or unusual dealsinvolve a lawyer. Tools that let you invite one into the marked-up document keep the review in one place.
AI tools provide information, not legal advice. A person should review any contract before it is signed. More on the cost question in AI vs a solicitor for contracts.
GitLaw is free to start, covers everyday commercial documents end to end, and lets you invite your own lawyer into the marked-up contract when a deal warrants it.
Questions we get asked
Can AI review a contract as well as a lawyer?
The evidence is mixed and task-dependent. In a 2018 test on NDAs, AI trained on contracts scored 94% against 20 lawyers' 85%, in seconds rather than hours (LawGeex). In a 2025 benchmark of legal AI tools, the lawyer baseline scored highest on redlining at 79.7%, with the two tools tested at 65.0% and 53.6% (Vals). AI reviews every clause the same way each time. It does not weigh commercial context, it is not legal advice, and for high-stakes or unusual deals a lawyer still reviews.
Can I use ChatGPT to review a contract?
ChatGPT can summarize a contract you paste in. It is not trained on law and does not check terms against legal material, flag missing protections or benchmark against market standard. Asked direct, verifiable questions about federal court cases, four leading general models returned hallucination rates of 58% to 88% (Dahl et al., Stanford RegLab and HAI, 2024). On consumer plans, what you paste is used to improve models by default (OpenAI). More in GitLaw vs ChatGPT for contracts.
How long does AI contract review take?
Published tests run in seconds to minutes for standard documents: in the LawGeex test, AI reviewed NDAs in 26 seconds against 92 minutes for lawyers. Time scales with document length and with how many of the six checks the tool runs.
How much does AI contract review cost?
Pricing ranges from free tiers to per-seat subscriptions. Check what the free tier includes, and whether review is metered per document, per seat or by usage credits. The cost to weigh it against is a dispute: modelled median litigation costs across US civil case types run from $43,000 to $122,000 (Hannaford-Agor and Waters, NCSC Civil Litigation Cost Model, 2013).
The power to understand and negotiate any contract
Upload a contract and GitLaw explains it in simple terms, flags the risks, and highlights what to negotiate. No sales calls, no credit cards, just chat to GitLaw to get started.
Published by Team GitLaw. Last updated September 22, 2026.
Nothing on this page is legal advice.
Sources are linked inline.
Behavioral observations are from GitLaw user research: recorded contract-workflow walkthroughs with agency owners and operators, March 2026 (n=6, UK).