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OnitX CLM

OnitX CLM is Onit's contract lifecycle management platform for enterprise legal departments and the business teams they support. It covers intake forms, approval workflows, a clause and template library, eSignature through DocuSign or Adobe Sign, a repository with contract hierarchies, obligation and renewal alerts, and Tableau dashboards. Its AI is ReviewAI, which runs in desktop Word and from the CLM workflow. A contract started in OnitX CLM can trigger ReviewAI, which checks the draft against the legal team's playbook, proposes redlines and fallback language, and logs its findings back to the CLM record as a risk profile.

Since early 2026 the redlining is generative, with rules written in plain language, and Smart Mapping lets customers write their own extraction prompts. ReviewAI grew out of McCarthyFinch, a New Zealand company Onit bought in November 2020, and Onit's subprocessor list names Anthropic as the provider behind its generative features. Hosting is on AWS in the United States or Germany, with backups in Ireland. Onit's services agreement states that Onit is not a law firm and provides AI features as is. Wesfarmers is a named ReviewAI customer, and Onit publishes no prices.

Compared with

OnitX CLM, head to head

Side by side on the same 15 capability axes and 12 legal signals: where the two part company, and what neither one publishes.

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Capability grades

All 15 axes, graded from public sources on the date shown. Hover a grade to see what the letter means on that axis.

BB on AI CentralityThe models are the engine of a core capability, layered on a product that would still function without them as a document or workflow system.

AI Centrality

How much of the product is actually AI. Whether the machine learning is the mechanism the buyer is paying for or a feature layered onto conventional software, and whether the vendor is specific about which is which.

ReviewAI carries the contract review work inside OnitX CLM. It reads a draft against the legal team's playbook, flags clauses that are missing or off position, proposes redlines and fallback language, and ends each review with a risk profile and recommendations. Generative redlining arrived in the first quarter of 2026, with rules written in plain language that add, replace or delete text at the word or phrase level.

Smart Mapping, released in November 2025, lets customers write their own prompts to pull text fields and clauses, and a Chat feature answers questions about clauses and risks in the open document. The rest of the platform, from intake forms and approval routing to the repository, alerts, eSignature and Tableau reporting, runs without the models. Onit's release notes say AI features may need a license fee and services to enable.

Source: Vendor Published
BB on Citation Accuracy and Hallucination DisclosureGrounding is real and documented, with linked primary sources and a described retrieval method, short of published accuracy figures an outsider can test.

Citation Accuracy and Hallucination Disclosure

Whether the vendor publishes measured accuracy on citations and assertions, grounds output to primary sources, and says plainly what its system does when it does not know. Legal has a documented public record of fabricated citations reaching filed briefs, so an untested claim of accuracy is not evidence.

ReviewAI grounds its review in the customer's own playbook and the document in front of it. Playbook rules fire on whether a concept or detail is present or absent. Each issue in the 2026 review panel links to the part of the document it concerns, so a reviewer can read the clause behind every flag. When a required clause is missing, ReviewAI says so and offers the playbook's language, as in Onit's June 2026 walkthrough, where a missing statement is detected and inserted from the playbook.

Onit publishes no accuracy rate, error rate or evaluation for review, extraction or Chat. Its Product Specific Terms say results may contain material inaccuracies even if they appear accurate, and tell customers not to rely on them without confirming them independently. Section 12.3 of the services agreement says output may be incomplete, inaccurate or biased.

Source: Vendor Published
BB on Autonomy and Oversight ModelA written commitment that the models work alongside a supervising lawyer, with real review surfaces, short of the full control structure: commonly the threshold at which the system stops or what happens after it is wrong.

Autonomy and Oversight Model

What the system decides on its own, what a lawyer must approve, and whether the vendor documents where the review point sits. A tool that drafts under review and a tool that files without one are different products and different risks.

ReviewAI proposes and the user decides. Suggested redlines appear as comments in Word, and a change enters the document only when the reviewer ticks it and chooses Action Selected Changes. Playbook rules can also raise an alert, run a pre check, add a comment or escalate a contract through the OnitX CLM workflow, so a deviation can route to an approver instead of being fixed in place. Onit's guidance on wrapping up a review tells users to switch off highlights before a document goes to the other side.

The Product Specific Terms tell customers not to rely on ReviewAI results without confirming them and to take their own legal advice. Section 12.3 of the services agreement makes the customer solely responsible for review of and reliance on output. Onit does not publish which rules act without a person, or what follows when a wrong redline is accepted.

Source: Vendor Published
BB on Operational and Outcome EvidenceReal deployment evidence with substance, short of full attribution or measurement: a named customer without figures, or figures without the named customer.

Operational and Outcome Evidence

Named, dated evidence that the product works in production at real firms or legal departments. Case studies with figures and identified customers count. Unattributed testimonials and launch announcements do not.

Wesfarmers uses ReviewAI on SaaS agreements and plans to extend it to NDAs, service agreements and consulting contracts. Its case study quotes Sheldon Renkema, who says the product sells itself, and gives no figures or date. Medtronic runs Onit ELM and CLM on separate instances, and VMware runs contract workflows through Onit's Unity platform, both without figures. The ReviewAI page claims reviews 60 to 70 percent faster, a 51.5 percent productivity gain per lawyer, more than two hours saved a day and NDAs returned in two minutes, with no customer named.

Those figures trace to an Onit study described in a June 2020 blog, in which 19 lawyers did the work of 28 and the cost per contract fell from $592 to $395.50, six years before generative redlining shipped. The OnitX CLM page shows logos for Airbnb, Experian, Sonoco and Delaware North without describing their use.

Source: Vendor Published
CC on Privilege and Confidentiality PostureConfidentiality is asserted in general terms, or the commitment lives only in a sales conversation and cannot be read in advance.

Privilege and Confidentiality Posture

How client confidences are handled: attorney client privilege and work product treatment, segregation of one client matter from another, whether client data trains any model, and what the vendor commits to in writing rather than in marketing.

Onit's Subscription and Services Agreement, last revised 19 August 2026, governs OnitX CLM as it does Onit's other products. The customer owns its data (5.1), and Onit treats it as confidential, with reasonable advance notice before a disclosure the law compels (8.5). Section 12.1 bars third party model providers from training on customer input, except in deidentified or aggregated form needed to run the service, and lets Onit use deidentified, aggregated usage data to improve its AI.

Section 5.2 allows aggregated and anonymized customer data to be used for product improvement, analysis and benchmarking. A 2023 help center FAQ says the contract review engine comes pre trained and does not learn from customer interactions. The agreement, data processing addendum and privacy policy do not mention privilege or work product, and no statement covers what Anthropic keeps from a review.

Source: Vendor Published
BB on UPL and Professional Responsibility PostureA real position is published on advice versus tooling, short of full treatment: commonly a disclaimer without the supervision and competence dimension, or silence on jurisdiction limits.

UPL and Professional Responsibility Posture

Whether the vendor is clear that it supplies a tool rather than legal advice, who its audience is, and how it addresses unauthorized practice of law, competence and supervision duties, and jurisdiction limits. ABA Formal Opinion 512 is the reference point. Where the advice line is not the duty a product raises, the axis is read through the nearest professional duty it does raise: judicial conduct rules and the reviewing duty for products sold only to courts, and the duty to bill for time actually spent for products that draft time entries.

Section 4.14 of Onit's services agreement states that Onit is not a law firm and does not offer legal advice, recommendations, opinions, representation, referrals or counseling. The ReviewAI section of the Product Specific Terms tells the customer to obtain its own legal counsel to understand ReviewAI output, and section 12.7 of the agreement restricts uses classed as high risk under applicable law. ReviewAI applies a playbook that the customer's own lawyers write and can update in house without Onit's services, and it presents its output as proposed redlines and recommendations for a reviewer.

OnitX CLM is sold to legal departments and to the business users who raise and track contracts through its intake forms. Nothing published ties the product to a lawyer's competence or supervision duties when using AI in negotiation, or sets limits by jurisdiction.

Source: Vendor Published
DD on AI Governance and Bias DisclosureNo governance position published for a system whose output affects legal outcomes.

AI Governance and Bias Disclosure

Published governance over model behavior: who owns it inside the vendor, what is tested before release, and what is disclosed about disparate output across matter types, parties, or populations.

Onit publishes no AI governance material for OnitX CLM or ReviewAI: no responsible AI page, named owner for model behavior, release testing process, model card or AI management certification. The AI terms in the services agreement allocate risk instead. Section 12.3 warns that output may be biased. Section 12.4 lets Onit improve, replace or deprecate models or prompts as long as core functionality is not materially reduced.

Section 12.7 restricts high risk uses, training other AI, entering sensitive data without approval and benchmarking for publication. Onit's SOC 2 Type 2 audit covers system controls rather than model behavior. Nothing addresses whether review quality differs across contract types, playbooks or the languages Chat translates, translation that Onit's terms call uncertified.

Source: Operator Verified
BB on AI Safety and Data StewardshipSubstantive published policy covering most of the ground, short of the full set: commonly no named subprocessor list or no stated incident practice.

AI Safety and Data Stewardship

Retention, deletion, access control, and what happens to prompts and documents after they are processed. Whether the vendor states its subprocessors and its incident practice, or leaves the buyer to assume.

Onit's subprocessor list, updated 17 August 2026, gives OnitX CLM and ReviewAI their own table. It names Anthropic for generative AI in ReviewAI and Catalyst for Contracts, AWS for hosting, Adobe for PDF processing, and Google Analytics, Sentry and Segment for analytics and error reporting, each with a location. Customers subscribe to email notice of changes and have 15 days to object under section 4.5 of the services agreement, with termination of the affected service as the remedy.

The data processing addendum, revised 20 April 2026, commits Onit to notify a customer promptly of a security breach, without a period in hours or days. After termination a customer has 30 days to export its data, which is then deleted under a retention policy Onit does not publish (6.5). The security page describes encryption in transit, daily backups and logged system access, and the product page lists role based permissions, audit trails and retention policies.

Source: Vendor Published
BB on AI Liability and RecourseA real published position on liability, short of the full picture: commonly a stated indemnity without scope or caps.

AI Liability and Recourse

What the vendor stands behind contractually when its output is wrong. Indemnities, caps, carve outs, insurance, and whether any of it is published or only reachable through a negotiated agreement.

Onit's Subscription and Services Agreement, last revised 19 August 2026, warrants that the services operate substantially as described in the documentation and that material functionality will not decrease during the term (9.2). Onit defends and indemnifies the customer against claims that the services infringe intellectual property rights (11.1). Each party's liability is capped at the fees paid or payable under the order in the 12 months before the event (10.2).

Indemnities and payment obligations sit outside the cap (10.3), and there is no separate carve out for a data breach. AI features and output are provided as is and as available (12.5), implied warranties of accuracy are disclaimed (9.5), and no service levels or uptime commitments apply to AI features unless an order says so (12.8). The Product Specific Terms separately exclude ReviewAI and the Word add ins from availability service levels. No insurance is published.

Source: Vendor Published
BB on Practice Systems Integration DepthReal integrations exist and are documented, short of depth: named connections without a description of what they actually move.

Practice Systems Integration Depth

How deeply the product reaches into the systems legal work already lives in: document management such as iManage and NetDocuments, Word and Outlook, contract lifecycle management, matter management, e-billing, and court filing systems.

OnitX CLM ships integrations with Salesforce, DocuSign and Adobe Sign, native Tableau dashboards, and APIs that Onit describes as supporting two way data flows, licensed under section 4.4 of the services agreement. Onit announced Salesforce AppExchange and SAP Ariba connections in December 2022. The Word add in carries the most detail. It handles redlining, versioning and clause insertion, runs ReviewAI on contracts started in the CLM, and writes ReviewAI findings back to the CLM record as structured data.

Onit's help center says the add in needs desktop Word 2016 Pro Plus, Word 2019 or Microsoft 365 and does not work in Word online, with a separate manifest file install for Windows and Mac. In June 2026 Onit added a two way ReviewAI connection to ContractWorks Premium. No OnitX CLM page names iManage, NetDocuments or SharePoint, or describes what the Salesforce connection syncs.

Source: Vendor Published
BB on Deployment Model and Data ResidencyDeployment model is stated clearly with partial residency detail, or residency is offered without the processing location being addressed, or the tenancy model is stated on its own with no residency detail published.

Deployment Model and Data Residency

Where the software runs and where the data sits. Multi tenant cloud, single tenant, private deployment, on premises, and whether region of residence is a published option or an enterprise conversation.

OnitX CLM is a cloud service. Onit's subprocessor list, updated 17 August 2026, shows OnitX CLM and ReviewAI hosted on AWS in the United States or Germany, with backups in Ireland, so a European customer can keep its contracts in Germany. Anthropic, which runs ReviewAI's generative features, is listed in the United States and various other locations. OpenAI, listed for all Onit platforms, runs in the United States and worldwide, so review content may be processed outside the hosting region.

Onit's firewall guidance lists separate European endpoints for its drafting service. The data processing addendum covers transfers under standard contractual clauses, with a 10 day notice period for new subprocessors in those clauses. No tenancy model, private cloud or on premises option is published, and the Word add in requires a desktop installation.

Source: Vendor Published
BB on Security Certifications and Trust CenterCertification is real and stated, short of accessible evidence: a named standard without scope, date, or a way to obtain the report.

Security Certifications and Trust Center

Independent attestation a buyer can pull without a sales call: SOC 2, ISO 27001, penetration test summaries, a trust center with current reports and named scope rather than a badge image.

Onit's security page says the company audits to SSAE 18 SOC 2 Type 2, SOC 1 Type 2 and HIPAA standards, verified by an independent auditing firm, and names no auditor, report period or scope. Onit's data processing addendum lets customers rely on SSAE 18 reports issued in the prior 12 months in place of an on site audit, which makes the reports available to customers once they sign. Annex 2 of the addendum commits to ISO 27001 certified hosting providers rather than stating an ISO certificate for Onit itself.

Onit also runs a trust portal at trust.onit.com. The OnitX CLM page lists single sign on, multifactor authentication, role based permissions and audit trails, and the security page describes 256 bit encryption in transit, daily backups and logged system access.

Source: Vendor Published
BB on Model Supply Chain DisclosureThe supply chain is partly disclosed: providers named without change notification, or architecture described without the providers.

Model Supply Chain Disclosure

Which models sit underneath, whose they are, where they run, and whether the vendor commits to telling customers when that changes. A legal buyer inherits every dependency it cannot see.

Onit's subprocessor list, updated 17 August 2026, names Anthropic as the generative AI provider for ReviewAI and Catalyst for Contracts, in the United States and other places. It also lists OpenAI across all Onit platforms and Google Gemini for Onit's spend and agent products. A 2023 help article records that Precedent ReviewAI was renamed Catalyst Contracts Review, and the review engine traces back to McCarthyFinch, which Onit acquired in November 2020.

Customers who subscribe to the list get email notice of a new provider and 15 days to object (4.5). Section 12.4 of the services agreement lets Onit improve, replace or deprecate models or prompts as long as core functionality is not materially reduced. Section 12.9 commits Onit to commercially reasonable efforts to substitute comparable services when a provider fails. No model or model version is named for ReviewAI or Chat.

Source: Vendor Published
CC on Commercial TransparencyPricing is gated behind a demo request while tier names and feature splits are published, so the shape is visible and the number is not.

Commercial Transparency

Whether a buyer can learn what this costs without entering a sales process: published rates, the unit being charged, what sits behind an enterprise tier, and what implementation adds.

Onit publishes no price for OnitX CLM or ReviewAI, and every commercial route on its site is a demo request. Its Product Specific Terms, last updated 6 May 2026, set out part of the structure. The Onit and OnitX section includes 1 TB of storage and charges $600 a month for each additional TB, with limits of 250 MB per attachment and 80,000 Excel rows. Catalyst Contract Review is sold in three volume tiers: Silver at 1,000 contracts and 25,000 chats, Gold at 5,000 and 125,000, and Platinum at 10,000 and 250,000, with no tier prices.

Chat use is metered against the tier, Onit says usage averages 25 chats per contract, and heavier use can bring additional fees. Bespoke ReviewAI configuration or training is out of scope unless ordered, and release notes say AI features may need a license fee and services to enable.

Source: Vendor Published
BB on Firm and Practice CoverageSegment and practice coverage is described with substance, short of the boundaries: what is supported is clear, what is not is left open.

Firm and Practice Coverage

Who the product is actually built for. AmLaw, midlaw, small firm and solo, in house departments, government and courts, and which practice areas are supported rather than merely claimed.

OnitX CLM is sold to enterprise legal departments and the business users who request, approve and track contracts, and Onit pictures legal operations, general counsel and revenue operations as its users. Onit's ReviewAI material lists dozens of contract types handled out of the box, including NDAs, master services agreements, statements of work, and purchase, lease, employment and construction agreements. Onit's terms set limits.

Chat performance is reduced on contracts over 75 pages or 75,000 words, translation is uncertified, and review works on Word documents, with PDFs converted to Word since 2025. A 2023 FAQ listed German, French and Portuguese in beta for one review skillset. Law firm use is not addressed and no industry focus is stated. The case studies come from a diversified conglomerate, a medical device maker, a software company and an agribusiness.

Source: Vendor Published
Sources on file

5 public documents

The public pages on file for OnitX CLM, with the recorded signals each one supports and the date it was last read. Open any of them and check the reading against the record.

Pricing

No published figure

  • Onit does not show prices for OnitX CLM or ReviewAI. You ask for a quote.
  • The contract review AI comes in three sizes, Silver, Gold and Platinum, set by how many contracts it reviews and how many chat questions you ask.
  • You get 1 TB of storage, and each extra TB costs $600 a month.
  • Using a lot more chat than your tier allows can cost extra.
  • Some AI features need their own license and setup work.

Prices are quoted on request, and Onit's site offers demo requests only. The Product Specific Terms, last updated 6 May 2026, publish the storage allowance and overage price for Onit and OnitX products, and three volume tiers for Catalyst Contract Review, the contract review engine, without tier prices.

Implementation: Not stated. The Product Specific Terms put bespoke ReviewAI configuration or training out of scope unless ordered, and release notes say AI features may require a license fee and services to enable.

Confidentiality and data terms: No business associate agreement is published. Onit's security page says it audits to HIPAA standards alongside SOC 1 and SOC 2.

Note: No price for the platform or the review tiers is published, so no entry price is shown. The only published figure is $600 a month for each TB of storage beyond the 1 TB included. Onit's Subscription and Services Agreement, last revised 19 August 2026, sets fees in an order and lets Onit charge for sustained heavy use of AI features after notice.

Legal Signals

What each signal means

A signal records what public sources say on the date shown. It is not a grade and it is not a recommendation. Where a signal reads Not addressed, it means the index did not locate the material in public sources on that date, which is a statement about disclosure rather than about the product.

Confidentiality and Privilege

Client Data in Training

Can material a lawyer puts into this product be used to train a model?

Permitted, in the contract

The published agreement expressly reserves a right to train on customer content, with no opt out located. Any de identification, anonymization or aggregation qualifier is recorded in the summary.

Section 12.1 of Onit's Subscription and Services Agreement, last revised 19 August 2026, bars third party model providers from using customer input to train their models. It then allows that use in deidentified or aggregated form needed to run the service. The same section lets Onit use deidentified, aggregated usage data to improve its AI services, and section 5.2 allows aggregated and anonymized customer data to be used for product improvement, analysis and benchmarking.

No opt out is described. The ReviewAI section of the Product Specific Terms has no training clause, and a 2023 help center FAQ says the review engine comes pre trained and does not learn from customer interactions.

Source: Vendor Publishedexcept in de-identified or aggregated form necessary to operate the Subscription ServicesAs of Oct 10, 2026Evidence

Prompt and Output Retention

How long does the product keep what a lawyer typed, and can that be set to zero?

Disclosed without a period

Retention is acknowledged in public materials with no stated period.

After termination or expiry a customer has 30 days to export its data, which Onit then deletes under its then current retention policy (6.5), a policy Onit does not publish. Section 6.4 permits automatically generated backup copies. Section 12.2 says Onit has no obligation to retain or recreate AI output, and the data processing addendum lets the customer choose return or destruction without a fixed deletion period. A September 2024 Onit blog introducing ReviewAI refers to a zero data retention policy, which is not among the policies in Onit's legal center. No period is stated for documents sent to ReviewAI during the term, for Chat history, or for what Anthropic keeps.

Source: Vendor Publishedin accordance with Company's then-current retention policyAs of Oct 10, 2026Evidence

Ethical Walls and Matter Segregation

Does retrieval respect the firm’s ethical walls, or can the model read across them?

Own model, documented

The product maintains its own permission model, documented, requiring the firm to keep it aligned.

OnitX CLM keeps its own permission model. The product page describes role based permissions, single sign on, multifactor authentication and governance controls meant to give the right people access to the right contracts. Its access levels are Administrator, Full Access, View Only, Download Only and No Access, and audit trails record activity. Contract hierarchies tie amendments and renewals to their parent agreements, and Onit's security page says system access is logged and tracked.

Nothing published says whether ReviewAI findings written back to the CLM record carry the contract's own permissions, or how customers are kept apart on the shared AWS hosting.

Source: Vendor PublishedRole-based permissions, audit trails, and retention policies strengthen governance.As of Oct 10, 2026Evidence

Third Party Request and Subpoena Notice

If someone subpoenas the vendor for a firm’s data, does the firm hear about it first?

Notice committed

Terms commit to notice where lawfully permitted. No transparency report located.

Section 8.5 of Onit's services agreement commits Onit to give reasonable advance notice of a disclosure the law requires, where permitted, so the customer can seek protection. The data processing addendum, revised 20 April 2026, commits Onit to notify the customer promptly of third party and data subject requests (3.3), with government requests covered unless data privacy law prohibits notice. Onit's privacy policy, last updated 9 March 2026, takes a looser line for website users, saying Onit attempts to notify users of legal demands when appropriate in its judgment. No transparency report is published.

Source: Vendor Publishedreasonable advance notice of the required disclosureAs of Oct 10, 2026Evidence
Accuracy and Authority

Primary Law Corpus Provenance

Where does the law in this product come from, and does the vendor have the right to use it?

Not addressed

No located public material identifies the corpus behind the product’s answers.

ReviewAI works from the customer's own material. It reads the draft open in Word against a playbook the legal team writes and maintains, and offers the fallback language and approved clauses stored in that playbook. Smart Mapping extracts fields and clauses through prompts the customer writes. It does not retrieve case law or legislation. A 2023 help center FAQ says the engine comes pre trained, and Onit describes it as handling dozens of contract types out of the box without saying what data it learned from. Onit's materials do not describe the training data behind the Anthropic models its generative features use.

Source: Operator VerifiedAs of Oct 10, 2026

Good Law Verification

Does the product tell you when the authority it just cited has been overruled?

Not addressed

No located public material addresses whether authority is checked for subsequent history.

OnitX CLM and ReviewAI review and draft contracts and do not cite case law or legislation, so a citator sits outside the product. The playbook that drives review is maintained by the customer, and Onit says legal teams can update it in house without waiting on its services. The clause and template library in OnitX CLM is also maintained by the customer. How outdated playbook language or a library entry is flagged after a change in the law is undescribed, and ReviewAI applies whatever positions the playbook holds when a review runs.

Source: Operator VerifiedAs of Oct 10, 2026

Refusal and Uncertainty Behavior

What does the product do when the answer is not in the corpus?

Not addressed

No located public material addresses what the product does when it cannot ground an answer.

Playbook rules in ReviewAI fire on whether a concept or detail is present or absent, and a missing clause produces a flag and the playbook's replacement text rather than silence. Playbook results appear item by item on a checklist in the OnitX CLM Word add in, and each review closes with a risk profile, with its overall risk rating shown in red. No confidence measure is published for redlines, extracted fields or Chat answers, and nothing describes what ReviewAI does with a clause it cannot classify.

The Product Specific Terms warn that results may contain material inaccuracies even if they appear accurate, and say Chat performance is reduced on contracts over 75 pages or 75,000 words.

Source: Operator VerifiedAs of Oct 10, 2026

Fabricated Citation Record

Does a public court record exist addressing fabricated or hallucinated legal citations in output from this product?

None located

No court order, opinion or disciplinary record addressing fabricated or hallucinated legal citations produced by this product has been located as of the date shown. This is a statement about the public record on that one subject, not a finding about the product, and this signal is not a litigation history.

The AI Hallucination Cases database maintained by Damien Charlotin, which records court decisions worldwide that address hallucinated AI content and the tool involved where known, has no entry naming OnitX CLM, ReviewAI, Catalyst, McCarthyFinch or Onit. OnitX CLM reviews and drafts commercial contracts for in house teams rather than court filings, so its output does not ordinarily reach a brief.

Source: Bar Guidance or Court RecordAs of Oct 10, 2026Evidence
Professional Responsibility

Bar Guidance Alignment

Has the vendor engaged in public with the ethics opinions its buyers are bound by?

Generic reference

Public materials refer to professional responsibility in general terms without naming guidance.

Section 4.14 of Onit's services agreement states that Onit is not a law firm and does not offer legal advice. The ReviewAI section of the Product Specific Terms tells customers to obtain their own legal counsel to understand the output, and section 12.7 of the agreement restricts uses classed as high risk under applicable law. No bar opinion, ethics rule or professional conduct guidance is named on the OnitX CLM or ReviewAI pages or in Onit's agreements. Nothing connects ReviewAI's redlines to a lawyer's duties when AI shapes a negotiating position.

Source: Vendor PublishedAs of Oct 10, 2026Evidence

Billing and Fee Posture

Does the vendor address what happens to the bill when the work takes an hour instead of six?

Outside the fee relationship

The product does not touch a fee between a lawyer and a client. It operates before an engagement exists, or it is bought by a team that bills no client for the work. Savings claims aimed at the buyer’s own cost are recorded in the summary and do not make the row a savings claim, because no client bill is in the loop.

OnitX CLM is bought by corporate legal departments to run their own contracts, and its named customers are companies rather than law firms, so no client bill sits in the loop. The ReviewAI page aims its savings claims at the buyer's own team: reviews 60 to 70 percent faster, more than two hours saved per lawyer each day and NDAs returned in two minutes. Onit's own charges for review are metered by contract and chat volume under the Product Specific Terms.

Onit puts average use at 25 chats per contract, and heavier use can bring additional fees. Nothing published addresses fee treatment of AI assisted work for a firm that bills a client.

Source: Vendor PublishedAs of Oct 10, 2026Evidence

Outside Counsel Guideline Readiness

Can a firm get this vendor through a client’s AI clause without a bespoke negotiation?

Disclosure pack published

A subprocessor and model provider list plus client facing disclosure material is published or available without an agreement in place.

Onit publishes a dated subprocessor list, updated 17 August 2026. Its table for ReviewAI, OnitX CLM, AuthorDocs and the Microsoft add ins names Anthropic as the generative AI provider with its location, alongside the AWS hosting regions. Change notices go by email to subscribers, who have 15 days to object under section 4.5 of the services agreement. The services agreement, Product Specific Terms and data processing addendum are all published, and the addendum lets customers rely on recent SSAE 18 reports in place of an on site audit. A legal department can pass these to its own stakeholders or regulators without an agreement in place.

Source: Vendor PublishedAs of Oct 10, 2026Evidence

Court Disclosure Support

If a judge’s standing order requires an AI disclosure, can the product produce one?

Partial record

Some elements of the record are available, short of a document level export.

OnitX CLM keeps audit trails and audit ready records, and ReviewAI writes its findings back to the CLM record as structured data, giving each contract a risk profile alongside its version history. The Word add in keeps versions of each draft as it moves between the parties. Nothing published says whether a redline accepted from ReviewAI is marked as machine generated in that record, or which model produced it. Section 12.2 of the services agreement says Onit has no obligation to retain or recreate output. No disclosure template is published. OnitX CLM output is negotiated contracts and reports rather than court filings.

Source: Vendor PublishedAs of Oct 10, 2026Evidence
Contact

Correct a record, or ask how something was graded

Every grade and every signal on this index is drawn from public sources and dated. If a record is wrong, out of date, or missing an artifact the index did not locate, send the source and it will be reviewed and the record redated. Vendors are welcome to submit documentation. Nothing on this index is for sale, including a listing, a placement, or a grade.

AI Legal Index

The AI Legal Index is an independent index that tracks changes to AI vendors in legal. It holds 303 vendors across 9 categories, each graded on the same 15 capability axes and recorded against 12 legal signals, from public sources. No vendor pays for inclusion, placement, or rating.

Index Status
Last index update
October 10, 2026
The AI Legal Index is an editorial reference. It is not a regulatory body, not a law firm, and nothing published here is legal advice or a recommendation to retain or avoid a vendor. Records are verified against published sources, bar guidance and public court records. Where a record reads not addressed, the material was not located in public sources on the date shown. See the Methodology page for evaluation standards and limitations.
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