AI Contract Review Software: 10 Compared
"AI contract review software" is one search term covering three different products. Buy the wrong shape and it doesn't matter how good the model is — a solo transactional lawyer who ends up in a CLM implementation, or an in-house team that buys a drafting add-in when their problem is volume, has wasted the budget either way.
So this comparison is organized by shape, not by a numbered ranking. Ten tools, three groups, every one verified active in our directory. No affiliate links; nobody paid to be here.
Group 1: Word add-ins for the lawyer doing the drafting
These tools assume a lawyer is at the keyboard and make that lawyer faster.
Spellbook is the purpose-built option: a contract drafting and review assistant that runs inside Microsoft Word, suggesting redlines, flagging risks, and generating clauses for transactional work. It runs on multiple large language models, including GPT-5 and Claude, rather than betting on a single provider. Pricing is on request.
Gavel Exec comes at the same problem from the document automation world — Gavel's Workflows product assembles legal documents, and Gavel Exec adds AI drafting and redlining in Word. Two things make it stand out in this group: real published pricing ($160/user/month for the paid tier) and a genuine free tier of 25 queries, which makes it one of the only ways to trial serious contract AI without a sales call. Worth knowing: Gavel was acquired by Relativity in June 2026 and continues to operate.
Genie AI rounds out the accessible end — drafting, review, editing, and negotiation with a large open template library, a free plan, and published paid tiers (Pro at $75/month, Enterprise from $600/month). If budget is the constraint, start here; we covered the genuinely free options in Free and Low-Cost AI Legal Tools That Actually Exist.
Group 2: Playbook review for in-house teams
These tools assume the problem is volume: the same contract types arriving every day, reviewed against the same standards. The AI applies your playbook; lawyers handle exceptions.
Ivo — formerly Latch — redlines against playbooks, maps relationships between contracts, and answers questions across your whole set of agreements, working in both Microsoft Word and Google Docs.
Robin AI does playbook-driven redlining in Word and adds an option the others don't: a managed service that combines AI output with human legal review, useful for teams that want throughput without staffing up.
Luminance pushes furthest toward autonomy — its models handle drafting, negotiation, and analysis, including autonomous first-pass redlining where the AI takes the initial cut before a lawyer sees the document. It serves both in-house teams and law firms.
All three price on request, which is the norm for this group.
Group 3: Full contract lifecycle management
Here AI review is one feature inside a platform that owns the entire contracting process — intake, negotiation, e-signature, repository, reporting.
Ironclad is the established CLM name, with AI for review, redlining, and repository insights, used mainly by in-house legal and business teams.
SpotDraft covers the same lifecycle — drafting through e-signature to a searchable repository — with its AI review layer branded VerifAI.
Choose this group only if you're actually standardizing company-wide contracting. A CLM you implement halfway is worse than a Word add-in you use daily.
The two that don't fit the boxes
Harvey and Legora both handle contract work as part of broader legal AI platforms spanning research, drafting, and document analysis. If contracts are one of several workflows you're buying for, they belong on your list — we compared them in depth in Harvey vs CoCounsel vs Legora. If contracts are the whole job, a specialist from the groups above is the simpler purchase.
Quick reference
| Tool | Shape | Pricing |
|---|---|---|
| Spellbook | Word add-in | On request |
| Gavel Exec | Word add-in + automation | Free tier (25 queries); $160/user/mo |
| Genie AI | Assistant + templates | Free plan; Pro $75/mo; Ent. from $600/mo |
| Ivo | Playbook review | On request |
| Robin AI | Playbook review + managed service | On request |
| Luminance | Autonomous first-pass review | On request |
| Ironclad | Full CLM | On request |
| SpotDraft | Full CLM | On request |
| Harvey | Broad platform | On request |
| Legora | Broad platform | On request |
What AI contract review software costs
Pricing in this category is mostly hidden, and that is itself a signal about who each tool is sold to. Of the ten above, two publish a number: Gavel Exec at $160 per user per month with a free tier of 25 queries, and Genie AI at $75 per month for Pro and from $600 per month for Enterprise. The other eight quote on request, which usually means a sales process, an annual commitment and a seat minimum.
Two practical consequences:
- If you want to trial without a sales call, your options are the published-price tools. That is a short list, and it is why Gavel Exec and Genie AI turn up on so many solo and small-firm shortlists regardless of how they compare on capability.
- If you are budgeting before you shortlist, work from figures that have been verified rather than from vendor landing pages. We track them per vendor in Harvey AI pricing, CoCounsel pricing and Spellbook pricing, and the shape of the market in the legal AI pricing guide.
Budget the review time as well as the licence. Nothing in this category removes the qualified human who signs off, so a tool that halves drafting time and adds a verification pass is not a straight 50% saving.
Which group fits your team?
The three groups above map onto three quite different buyers, and the mismatch is where budget gets wasted.
- Solo and small-firm transactional work. A Word add-in. You are the person doing the drafting, the volume does not justify building a playbook, and a CLM implementation would consume more time than it returns. We looked at the whole stack for this case in AI for small law firms.
- In-house legal with repeating contract types. Playbook review. The real test is whether your standards are stable enough to write down. If a lawyer cannot articulate the playbook, the AI cannot apply it.
- In-house legal standardizing contracting company-wide. CLM, and only with an executive mandate behind it. The AI review layer is not the reason to buy one.
- A firm buying for several workflows at once. The broad platforms, because contract review alone will not justify the price.
Whichever group you are in, run the same evaluation. The full version is how to evaluate legal AI; the short version is further down this page.
Before you evaluate anything: the accuracy baseline
Every vendor in the table above will tell you their output is grounded, verified, or hallucination-free. There is published, independent evidence on how much weight that claim carries.
Stanford's RegLab and Institute for Human-Centered AI tested the leading professional legal research tools across 202 queries and published the results as Hallucination-Free? Assessing the Reliability of Leading AI Legal Research Tools (later peer-reviewed in the Journal of Empirical Legal Studies). They found hallucination rates of 17% for Lexis+ AI and 33% for Westlaw AI-Assisted Research — against vendor marketing that claimed "100% hallucination-free linked legal citations." Their summary: providers' claims are overstated.
Those are research tools rather than contract reviewers, so don't transfer the percentages directly. Transfer the lesson: a retrieval-grounded architecture and a confident accuracy claim are not the same as measured accuracy, and no vendor in this category publishes independent error rates for their own product.
This is also now an ethics question with an answer. ABA Formal Opinion 512 (July 2024) holds that the duty of competence requires lawyers to understand a tool's propensity to hallucinate, and that duties of confidentiality, supervision, and candor apply to AI-assisted work unchanged. Whatever you buy, a qualified human still signs off — price the review time into the ROI case, because the tools that claim it away are the ones the ABA opinion is about.
How to run the evaluation
Four suggestions from watching this category consolidate:
- Trial on your own paper. Every one of these tools demos well on a clean NDA. Bring the ugliest third-party paper you reviewed last quarter and watch what happens.
- Ask for an error rate, in writing. Not an accuracy claim — a measured miss rate on a defined test set, and who measured it. The answers you get to that question are the most informative part of any demo.
- Count the exceptions, not the automations. For playbook tools especially, the question isn't what the AI handles — it's how gracefully it hands off what it can't.
- Check the ownership. This corner of legal AI changes hands constantly — Gavel to Relativity is just the latest. Our acquisition tracker lists every move we've verified, because the company you sign with may not be the company that owns the product at renewal.
Common questions
What is AI contract review software?
Software that reads a contract, flags risk, non-standard language and missing terms, and suggests changes. In practice the phrase covers three distinct product shapes: a drafting assistant inside Word, a playbook engine that redlines against your written standards, and a contract lifecycle platform where review is one feature alongside intake, signature and reporting.
Can AI review contracts accurately?
Accurately enough to be worth using, and not accurately enough to sign off unsupervised. No vendor in this category publishes an independent measured error rate for its own product, and the nearest independent evidence in adjacent legal AI is the Stanford study cited above. Treat the output as a first pass by a fast, tireless junior.
Is there free AI contract review software?
There are free tiers rather than free products. Gavel Exec offers 25 queries free and Genie AI has a free plan, and both are substantial enough to evaluate the tool on your own paper, which is more than most of this category allows. The wider set is in free and low-cost AI legal tools.
What is the difference between contract review AI and CLM?
Scope. Contract review AI acts on the document in front of you. CLM owns the process around it: how the contract arrives, who approves it, where it gets signed, and where it lives afterwards. Buying CLM to get better redlining is buying a filing system to fix a pen.
Does using AI on client contracts create an ethics problem?
It creates a duty, not a prohibition. ABA Formal Opinion 512 holds that competence requires understanding a tool's propensity to hallucinate, and that confidentiality, supervision and candor apply to AI-assisted work unchanged. The practical reading: know your tool's failure modes, check what it does with client data, and keep a qualified human on the sign-off.
Which AI contract review tool is best?
There is no single answer, which is why this comparison is grouped by shape rather than ranked. What suits a solo lawyer drafting in Word is a poor fit for an in-house team clearing NDAs at volume, and both are wrong for a company standardizing contracting end to end. Pick the group first, then trial two tools inside it on your own worst contract.
The full, filterable list — including tools that didn't fit this comparison — lives in the contract review category. Listings are free and verified; if we're missing one, tell us.