Agentpedia · OCT 28, 2026

AI Agents for Contract Review

What the job is

Contract review is the read an agreement gets before anyone signs it, checked against the positions your business has decided to hold. In a small business that reader may not be a lawyer, so the findings have to make sense to someone who isn't.

End to end means the agent takes a contract, uploaded or open in your editor, to findings that person can act on, each one traceable to the page or clause behind it. A chatbot that summarises text you paste in fails that test, one of the five entry rules every agent here had to pass.

If nobody on your side is a lawyer, I'd look first at agents that promise plain-language findings, such as fynk, whose assistant page says its AI "translates legal jargon into clear, practical explanations". Gavel says Exec is "built for transactional attorneys and legal teams".

Each vendor here says its agent reviews against a playbook. You supply most of it, though Agiloft Astra, ContractSafe and Gavel Exec say they also offer ready-made ones.

A rule is a position written down; the example in Agiloft's help centre is a confidentiality period of no more than 3 years. ContractSafe's help centre recommends 10 to 25 rules for a playbook drafted from a contract. Agiloft's NetApp case study says attorneys there can't use Astra on an agreement type until someone has built its screen, Agiloft's name for a playbook.

If most of your contracts are scans, test those first, because that's where these agents differ. fynk says it reads every uploaded PDF with OCR, while ContractSafe's extraction guide warns that scans "may produce lower accuracy results." Neither Agiloft's Astra help pages nor the Gavel pages I read mention scans at all.

The first control I'd check is whether the agent edits the contract or only reports on it. ContractSafe's feature page says its review "does not edit the document", so you copy any suggested wording into your own redline. Nothing on fynk's AI review page says its review drafts replacement wording. Agiloft and Gavel say their agents draft redlines for a person to review. If more than one person signs off, look for an approval step before signature and an audit trail.

Where your contracts live settles most of the integration question. Agiloft Astra and Gavel Exec have Word add-ins for review on the draft you're negotiating, while fynk and ContractSafe hold your agreements and run the review inside their own systems.

Credits are the part of the price to model. Agiloft Astra's help centre puts a playbook run in its web app at about 1 credit per rule (Agiloft calls them standards) per document, and fynk's pricing page doesn't say how many credits one review uses.

The shortlist

Ordered by the rubric total out of 35, highest first. Each line says why the agent is here; the profile carries the evidence.

  1. 1.

    fynk

    fynk GmbH · 26 of 35

    Its docs say AI review checks contracts against rules you set and links each flag to its section; OMR shows 4.7 from 143 reviews, recent ones incentivised, read October 2026

  2. 2.

    Agiloft Astra

    Agiloft, Inc. · 24 of 35

    Pass/fail playbooks with up to three fallback positions per standard and redlines suggested in Word, as Agiloft's docs describe them

  3. 3.

    ContractSafe

    ContractSafe LLC · 22 of 35

    Marks each playbook rule Pass or Fail and links each failed rule to its clause, ContractSafe's docs say; Slashdot: 4.8 from 326 reviews and ratings, 323 from other sites, October 2026

  4. 4.

    Gavel Exec

    Documate, Inc. d/b/a Gavel · 21 of 35

    Gavel says failed playbook rules show a reason and proposed changes, and that redlines go into Word as tracked changes you accept or reject

Side by side

AgentPricing, as readFitsControlsIntegrationsIndependent evidenceLast release
fynkFree plan for 1 user; Essential €19 and Business €39 per user a month billed yearly (€29 and €49 monthly), Pro custom, excluding VAT, read October 2026Any company sizeApprovals, Activity log, PermissionsHubSpot, Salesforce, Pipedrive, Zapier and 6 moreOMR Reviews: 4.7 of 5 from 143 reviews, read October 25, 2026; OMR marks recent reviewers as invited and given an incentiveAug 2026
Agiloft AstraFree $0 (1,000 credits a month); Pro, 2,500 credits a month, $120 a month or $1,200 a year, up to $2,040 a month for 40,000; Advanced custom; read October 2026Any company sizePermissions, Review queue, Undo or draftsMicrosoft Word (add-in), Agiloft CLM, Excel exportNone recordedOct 2026
ContractSafeOrganize $450, Finalize $660, Maximize (with AI Contract Review) $815 a month prepaid annually, 100 or fewer contracts; unlimited users; read October 202611 people or moreApprovals, Activity log, Permissions, Review queue, Undo or draftsDocuSign, Salesforce, Zapier, Microsoft Word and 2 moreSlashdot: 4.8 of 5 from 326 reviews and ratings (3 on Slashdot, 323 from other review sites), read October 25, 2026Oct 2026
Gavel Exec$160 per user per month, or $1,740 per user billed annually; 25 free queries per user; 1,000 completions per month on paid plans; read October 2026Up to 250 peopleApprovals, Undo or drafts, Permissions, Review queueMicrosoft Word add-in (Windows, Mac, Word on the web, Microsoft 365), Google sign-inNone recordedOct 2026

When to have one built instead

An off-the-shelf contract review agent is the wrong buy when the right call depends on data outside the contract, or when your contracts can't go where the vendors host them.

If that data is the payment terms your ERP holds for the supplier, the agent has to read the ERP, and none of the integration lists on this shortlist names one.

ContractSafe's data residency page says Canadian-hosted accounts run some AI features on US-hosted models. If contracts must stay in one country or on your own servers, ask each vendor before the demo; when none can do it, the review has to be built where the data already sits.

Volume is the last thing I'd check. Pricing on this shortlist rises with seats or usage, and my comparison of custom and off-the-shelf tools puts the point where a custom agent can cost less to run at around 5,000 to 20,000 inferences a month. Below that, I'd buy, and use a free plan or trial to learn what your playbook needs before anyone builds anything.

← Agentpedia