Free Alternatives to LawGeex for Contract Review

LawGeex is not a document reader you can swap for a free PDF app. It is contract review automation: you build a "digital legal playbook" of your company's standard and fallback positions, feed contracts against it, and the system flags deviations, redlines routine ones, and routes what needs a human to the right approver. That is a different job from "read this contract and tell me what looks risky," and no free tool does the whole thing. This guide (published by Adira, which makes contract review and CLM software, so we have a commercial interest in you eventually wanting a paid tool, but the comparison below stands on its own) tests what free options actually cover: general AI with your playbook pasted in, a genuinely free tier from a smaller point solution, and Weave for the read-and-flag step that comes before any of this.

What LawGeex actually does, and why "free" is the wrong first question

LawGeex, founded in 2014, sells to legal, compliance, procurement, sales, and HR teams that need routine contracts, NDAs, vendor agreements, order forms, reviewed against a house standard without a lawyer opening every single one. The playbook captures preferred language and fallbacks per clause; the system compares an incoming contract against it, flags deviations, and can auto-approve what matches closely enough, escalating the rest. There is no published price list, only a custom quote after a demo. One benchmark, a 2021 Forrester study commissioned by LawGeex itself, cited a customer paying roughly $75,000 a year for one lower-complexity contract type and five users, a useful order-of-magnitude reference, not a current list price.

Worth knowing: LawGeex went through real change. In February 2023 it sold its enterprise contract-review assets to Robin AI, and in September 2023 LegalSifter announced it had separately acquired a group of LawGeex enterprise clients, 17 Global 2000 organisations among them, per LegalSifter's own announcement. The LawGeex brand and site are still live in 2026, but the enterprise base that made it a serious platform has been split across two other companies, a fair reason teams look for a free alternative: the category has been volatile, and a low-volume team may not want to commit five figures a year to a business that has already changed hands twice.

The comparison, tested

None of the free options do the full job: a playbook that persists, and an approval that actually routes and signs off inside a workflow. What they do is triage, flagging deviations for a human to act on. Treat every AI output below, free or paid, as a first pass a person checks, not a verdict.

Tool	Playbook based review?	Auto approve/route?	Free limit	India law aware?	Data handling
LawGeex	Yes, a persistent, trained playbook per organisation	Yes, matched contracts can auto-approve and route to signature	None; custom quote, demo required, historically five figures a year and up	Not built for Indian statutes; playbook is whatever positions you configure	Enterprise contract, presumably a DPA; not published, verify directly
ChatGPT (free)	No; paste positions as instructions each session or project	No, can suggest, not approve or route	Capped usage that resets periodically; exact cap changes, check OpenAI's help page	General knowledge only; will not assume Indian law unless told	Consumer free tier; check current policy on training before uploading a real contract
Claude (free)	Same; paste playbook as instructions, no persistence without a paid project	No	Message allowance resets every few hours; check Anthropic's pricing page for the current figure	Same limitation as ChatGPT	Consumer free tier; check current retention and training policy first
Legly (free plan)	Starter guideline set only, not a custom playbook; custom guidelines are paid	No, flags and reports, does not route or approve	2 reviews per 90 days, per Legly's own pricing page	Not India specific; general purpose guideline library	Uploaded to Legly's servers for analysis; check their policy first
Weave (Adira, free)	No; read and markup tool, not a playbook engine	No	Free, unlimited for its purpose, no login	Not a review engine	In browser; file is not uploaded

Free-tier limits for the AI chat tools change often and are not always published with a specific number, so check the vendor's own help page before you plan a review cycle around a figure, including any figure in this article.

Pasting your playbook into a general AI tool

The honest version of "use ChatGPT or Claude as a free LawGeex": write your organisation's fallback positions, clause by clause (indemnity cap, whether auto-renewal is allowed, minimum notice period), as an instruction, then paste each contract and ask what deviates. This works as a first pass on a standard NDA or vendor agreement, and costs nothing. What it does not give you is the thing that makes review automation worth paying for: a playbook that persists without re-explaining it, an audit trail, and an approval step that routes the document rather than just producing text you act on manually. It also has no memory of your last negotiation with this counterparty, and it will confidently answer even when it has misread a clause, so every flag, and every non-flag, needs a human to check. Treat it as a fast first pass with no accountability, not a reviewer.

Legly's free plan: a genuine point solution, with real limits

Legly is a smaller, dedicated contract-review tool that publishes an actual free plan rather than a time-boxed trial: two reviews every 90 days, a starter guideline set, and PDF/Word upload support, confirmed on Legly's own pricing page. That starter set is not a custom playbook, custom guidelines sit behind their paid Professional tier at $39 per user a month, and the free plan skips portfolio analytics and any approval workflow. Two reviews every three months sanity-checks an occasional contract, not a team's ongoing intake, an honestly narrow example of what a genuine free tier in this category looks like.

Weave: read and flag first, free

Before any playbook comparison matters, most people need the more basic step: reading the contract clause by clause and marking what needs a second look. That is free and needs no vendor decision at all. You can open a contract, highlight and comment clause by clause, directly in Weave, Adira's free browser tool, before deciding whether you need a paid CRA platform. Weave does not compare a contract to a playbook or auto-approve anything, it is a reading and markup layer, useful on its own at low volume and a reasonable first step even for a team that eventually buys something heavier.

The India layer: pasting a contract into a free AI tool is a data protection question

This is the part most "free LawGeex alternative" roundups skip, and it is a real question under Indian law, not a formality. If the contract you paste names an individual, a salary in an offer letter, an address in a service agreement, a director's PAN in a vendor form, that is personal data under the Digital Personal Data Protection Act, 2023. Section 8(2) sets out how a business (a "Data Fiduciary") may hand personal data to another party for processing:

"A Data Fiduciary may engage, appoint, use or otherwise involve a Data Processor to process personal data on its behalf for any activity related to offering of goods or services to Data Principals only under a valid contract." Source: Section 8, Digital Personal Data Protection Act, 2023

A "Data Processor" is defined narrowly in Section 2(k) as "any person who processes personal data on behalf of a Data Fiduciary." A consumer free tier is not built to be your Data Processor under a "valid contract" the way a signed enterprise data processing addendum is; its terms are the same click-through terms every free user gets. Whether that satisfies "valid contract," and what the policy actually says about retaining or training on your input, is what to check before pasting a real, named contract, not after. That is not a reason to avoid free AI tools. It is a reason to run the check below first, and to prefer a contracted enterprise tier, or Weave's local, non-uploaded approach, for anything that names people.

A privacy test you can run before you upload anything

Do this before pasting a real contract into any free tool, general AI or a point solution like Legly:

1. Open the tool's own privacy policy or terms page, not a third-party summary.
2. Search the page (Ctrl+F) for "train," "retain," and "delete."
3. Check whether there is a separate policy for the free tier versus a paid or business tier; most vendors that train on free-tier inputs exclude paid business plans from that by contract.
4. If you cannot find a plain answer to "does this train on what I upload, and for how long is it kept," treat that as your answer and do not upload a real, named contract until you can.

Red flags

Normal	Red flag	Why it matters
AI's flag treated as a suggestion a person checks against the contract	AI's flag, or its silence, treated as the final answer, no one opens the document	General AI has no accountability and can miss a clause it was not asked to check
Same written playbook or instruction set reused every time, kept in one place	Playbook rewritten from memory each session, drifting each time	Inconsistent instructions produce inconsistent reviews
Data retention and training policy checked before a real contract is uploaded	Named contract pasted into a free account without checking the policy first	Personal data inside makes this a DPDP question, not only confidentiality
AI's output checked clause by clause against the source document	AI's summary trusted without opening the actual contract	It can misread page order, a table, or state a clause that is not there
A clear next step assigned for anything flagged high risk or uncertain	A flag nobody is assigned to act on, left unresolved	An unresolved flag creates a false record of scrutiny, worse than none
Free tools used for low value, templated contracts like standard NDAs	Free general AI used as sole reviewer for a high value or first time deal	This is exactly where a trained playbook earns its cost
Legly's 2 reviews per 90 days planned around known volume	Cap discovered mid cycle when the tool blocks the next upload	Creates a bottleneck at the worst time, often a renewal deadline

Fixing an internal approval clause written around "AI review equals approved"

Bad (seen in internal contracting policies written to sound efficient): "Any contract flagged as low risk by the automated or AI-assisted review tool shall be deemed approved and may proceed to signature without further legal review."

What is wrong: it treats a tool's output as a final decision rather than a first pass, does not define "low risk" or how the flag was generated, gives no one accountability for an error, and does not distinguish a trained enterprise playbook from a general AI tool with instructions pasted in for the day.

Better: "A contract reviewed using [named tool] shall be treated as pre-screened, not approved. A contract flagged as matching the standard playbook position on every material clause (indemnity, limitation of liability, term and termination, governing law) may proceed to expedited human sign-off by [named approver or role], who must confirm the flag by opening the underlying document, within [2] business days. A contract with any deviation, or reviewed using a general purpose AI tool without a persistent, version-controlled playbook, requires full legal review before signature. This clause does not apply to any contract naming an individual's personal data unless the review tool's data handling has been confirmed in writing to comply with the organisation's obligations as a Data Fiduciary under the Digital Personal Data Protection Act, 2023."

What changed and why: "deemed approved" becomes "pre-screened," a human confirmation step gets a deadline, the standard is defined instead of left as an undefined "low risk," general AI without a persistent playbook is routed to full review, and the DPDP data-handling question is addressed instead of assumed away.

Which free option fits which situation

For a one-off read of a contract you are about to discuss, Weave is enough, and the only option here that never uploads the file. For an occasional contract needing a structured, if generic, second opinion, Legly's free plan covers two a quarter. For a team that wants to encode its own positions and check contracts regularly, pasting a written playbook into ChatGPT or Claude each time is the closest free approximation, provided a person checks every output against the source. None of these free options give you what LawGeex sells: a playbook that persists, an audit trail, and automated routing at volume. That gap is real, and it is what starts to be worth paying for once contract volume, or the stakes of a wrong flag, goes up. For the wider field of free AI contract review tools beyond this LawGeex-specific comparison, see Best Free AI Contract Review Tools 2026.

US and global contrast

LawGeex, like most contract review automation platforms, was built for a market where the buying decision is mostly commercial: how much legal-team time does automating routine review save. Data protection is a real consideration for a US or global buyer, but it usually shows up as a security questionnaire and a standard data processing agreement, not a specific statutory test. In India, the DPDP Act adds a second question on top of "is this tool secure": whether pasting a contract naming an individual into a free consumer AI account, versus a contracted enterprise tier, changes your own position as a Data Fiduciary. That question does not disappear because the tool is free, and a comparison written for a US audience will not raise it at all.

FAQ

Is there a genuinely free version of LawGeex? No. LawGeex has no published free tier or self-serve signup; every source describes custom, quote-based pricing after a demo, historically in the low tens of thousands of dollars a year and up depending on volume.

Can ChatGPT or Claude actually replace a playbook based review tool for free? Partially, for a first pass. Write your positions as an instruction and paste each contract against it, which works reasonably well for a standard NDA or vendor agreement. It gives no persistent playbook, no audit trail, and no automated approval or routing, and every output still needs a human check against the actual document.

Is it safe under Indian law to paste a contract into a free AI tool? It depends what is in it. If it names an individual, a salary, an address, an ID number, it is personal data under the DPDP Act, 2023, and Section 8(2) requires a Data Processor handle it "only under a valid contract." A free consumer tier's standard terms are not the same as a signed enterprise data processing agreement, so check the tool's retention and training policy before uploading anything naming a real person.

What does Legly's free plan actually give you? Two contract reviews every 90 days, using a starter guideline set rather than a custom playbook, with PDF and Word upload support, per Legly's own pricing page. Custom guidelines, portfolio analytics, and integrations are paid features.

Does Weave do what LawGeex does? No. Weave is a free, browser based tool for reading and marking up a contract clause by clause, not a playbook-comparison or approval engine. It is useful as the reading step before, or instead of, a heavier tool, depending on how much volume you actually have.

Is LawGeex still the same company it used to be? Not entirely. In February 2023 it sold its enterprise contract-review assets to Robin AI, and in September 2023 LegalSifter separately acquired a group of LawGeex enterprise clients. The brand and site are still live, worth knowing before you evaluate it against a newer alternative that has not been through the same restructuring.

This guide gets you to a correct, specific understanding of what free tools can and cannot do compared to a paid contract review automation platform, as of the terms checked in September 2026. Free tier limits and vendor policies change without much notice, so re-verify the specific figure that matters to you on the vendor's own page before you rely on it. It does not tell you whether a specific AI flag is right, whether your contract needs a review automation platform at all, or whether a data-handling practice satisfies your organisation's obligations under the DPDP Act; those depend on your facts and are not legal advice. Talk to a lawyer before you rely on an AI-generated flag, or the absence of one, for a contract that actually matters.