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Theo Ai

Theo Ai sells predictive litigation intelligence to corporate defense teams. Its product is a portfolio command center for enterprise legal departments. It collects case material automatically from systems such as Microsoft, Google, Workday and Salesforce, turns emails, invoices and filings into structured data, and shows each matter's cost trend and risk signals in one view. It then looks for patterns across the portfolio, flags matters it judges to be underreserved, tracks exposure as new facts arrive, summarizes each case with attribution to source material, and recommends which claims to settle and which to fight.

It publishes indicative matter counts by category, from general liability and workers' compensation claims to employment disputes, regulatory matters, commercial disputes and internal investigations. It markets to retail, insurance, chemicals, hospitality and gaming, and pharmaceuticals and medical devices. The company began in 2024 selling outcome and settlement prediction to litigation funders, partnering with Mustang Litigation Funding in March 2025, before refocusing on corporate defense. Onboarding is by invitation, with a public waitlist. Theo AI, Inc. is based in Palo Alto, California.

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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.

AA on AI CentralityThe artificial intelligence is the product. Remove the models and there is nothing left to sell.

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.

The AI is the product, with nothing underneath it to sell. Every published function is model output: building a picture of the caseload from documents collected automatically, extracting structure from emails and invoices, finding patterns across a portfolio, projecting costs, flagging underreserved matters, summarizing each case with attribution to sources, and recommending which claims to settle or fight. There is no repository, workflow engine, billing system or document store that a customer would still license without the models.

The vendor calls it a prediction engine, and its earliest description was of a proprietary data model and prediction engine. Announcements from 2024 and 2025 describe using funding to expand proprietary data pipelines, improve its legal data and reinforce supervised learning with legal experts. This says nothing about how well the models work or how much is disclosed about them.

Source: Vendor Published
CC on Citation Accuracy and Hallucination DisclosureAccuracy is asserted without measurement, or grounding is claimed while output cites sources the reader cannot open and verify.

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.

Grounding is claimed and nothing is measured on any vendor page. The only grounding claim is one sentence: every case is summarized with clear attribution to source material. That is a real claim about how the product works, not a bare assertion that it does not hallucinate, but nothing supports it further. No accuracy figure, test set, error rate, evaluation or benchmark appears on any vendor page, and no failure mode is named.

The chief executive is quoted in a December 2025 interview with a technology publication claiming roughly 85 percent predictive accuracy against 60 to 65 percent for human reviewers. That appears in a third party publication, not a vendor disclosure, and names no test set or method. The product predicts outcomes rather than citing law, so citator and authority checks do not apply.

Source: Vendor Published
DD on Autonomy and Oversight ModelNo oversight structure is published for a system that drafts, advises, or acts on a client matter.

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.

No oversight structure is published for a system that acts on live client matters. What the product does is clear: it recommends which claims to settle or fight, automatically and in real time, flags underreserved matters, and in the vendor's words manages the minutiae. Nothing describes what surrounds those decisions: no modes, confidence threshold, escalation path or review surface, no statement that a lawyer approves output before it is relied on, and nothing on what the system does when evidence is thin.

The Terms of Service cover the website and never mention output, and the Privacy Policy excludes information processed for enterprise customers. The nearest statement is marketing copy saying the platform lets a team review the portfolio and decide with confidence, freeing attorneys and paralegals for higher level work. That makes a human the reader of the output, not an oversight mechanism. This reflects what is published, not a finding that the product has no oversight.

Source: Vendor Published
CC on Operational and Outcome EvidenceCustomer logos and unattributed testimonials stand in for evidence, or results are quoted with no basis stated.

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.

An advisory board and investor list stand in for deployment evidence, and the published outcome figures have no basis. The site's main social proof is a General Counsel Board of sixteen named senior legal figures, one identified as General Counsel of SmartBiz Bank, alongside investor logos. Advisers and investors are not customers. No customer is named on the current site, and there is no case study or user logo wall.

One named partnership exists: in March 2025 the vendor announced a partnership with Mustang Litigation Funding, quoting its chief technology officer. That account looks forward, projecting that a one percent annual improvement in case selection would raise returns. The circulating figures are unattributed or from third parties: an early claim that review time falls from seven to thirty days to seconds, an assertion that early users found the platform confirmed their underwriting teams' conclusions, and the 85 percent accuracy claim made in an interview. None states a basis.

Source: Vendor Published
DD on Privilege and Confidentiality PostureNothing published on how client confidences are handled by a product built to ingest them.

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.

Client confidences have no stated handling in a product built to take them in. The Terms of Service, last updated August 2025, govern use of the website at theoai.ai and contain no confidentiality duty to a customer, security commitment, data handling terms or reference to case material. The Privacy Policy, last updated 6 April 2025, begins by excluding information processed for enterprise customers as a processor or service provider, which it says is governed by customer agreements.

Those agreements are not published. A buyer can therefore read nothing before signing about training on client data, separation between customers or matters, retention or deletion of case files, or what a model provider may keep. That matters because the product pulls litigation files automatically from a customer's own Microsoft, Google, Workday and Salesforce systems. Single sign on at the sign in page is an access method, not a confidentiality commitment.

Source: Vendor Published
DD on UPL and Professional Responsibility PostureNothing published on the advice line for a product that produces legal work, including where it is sold to people who are not lawyers.

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.

A product that produces legal work draws no advice line at all. The product tells a legal team what a case is likely worth and recommends whether to settle or fight. Nothing says the vendor is not a law firm, that its output is not legal advice, that a lawyer must use independent judgment before relying on it, or that a recommendation is a suggestion rather than a conclusion. The Terms of Service disclaim warranties for the website and its content and say nothing about advice or the practice of law, and the Privacy Policy does not reach the product.

Nothing addresses who may use the platform, whether a supervising lawyer's competence duties apply when a settlement recommendation is acted on, or any jurisdictional limit. The site is marketed to litigators, paralegals and legal operations staff alike. A customer agreement, if published, may say more.

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.

No governance position is published for a system whose output affects legal outcomes. There is no responsible AI page, set of principles, framework such as the NIST AI Risk Management Framework, certification, named accountable person, description of what is evaluated before a model change, or statement on testing. Neither published document addresses AI: the Terms of Service cover website use, and the Privacy Policy excludes processing for enterprise customers.

Bias is a live question here. A model that predicts settlement values and outcomes from historical litigation data learns from a record shaped by who was represented by whom, in which venue, against which opponent, and what each party could afford to accept. Nothing says whether output varies by claimant characteristics, venue, counsel or claim type, or whether anyone has checked. The vendor's description of reinforcing supervised learning with legal experts describes training, not governance.

Source: Vendor Published
DD on AI Safety and Data StewardshipNothing published on retention, deletion or access for a system that holds client documents.

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.

Retention, deletion and access go unaddressed for a system that holds client documents, and this is a confirmed absence. The Privacy Policy has a retention section, but the policy says at the start that it does not apply to information processed for enterprise customers. Its retention language, which says only that personal information is kept as long as needed or permitted, therefore covers website visitors, not case files.

Its security section is one sentence about reasonable organizational, technical and administrative measures, with no encryption commitment, access control description or incident practice. There is no subprocessor list, security page, trust center, data processing addendum or hosting statement, and deletion of customer material is not addressed. The sign in page offers single sign on as well as passwords, which is an authentication method, not a stewardship commitment.

The Terms grant a perpetual, irrevocable, sublicensable license over user Submissions, which by its wording covers material posted through the website rather than case documents uploaded to the application.

Source: Vendor Published
CC on AI Liability and RecourseLiability is addressed only through a standard limitation clause that disclaims the exposure the product creates.

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.

Liability is addressed only through a standard limitation clause that disclaims the exposure the product creates. The sign in page says that signing in means agreeing to the Terms of Service, which are website terms of use, so their liability terms bind users. Section 14 supplies the site and its contents as is, where is and where available, without warranties, disclaiming merchantability, fitness for purpose, noninfringement and title.

Section 16 excludes indirect, incidental, consequential, special, exemplary and punitive damages, including lost profits, use and data. It makes stopping use the user's only remedy and caps total liability at whatever the user paid to use the site. Section 17 has the user indemnify the company for claims arising from their use. Nothing allocates the loss when a settlement recommendation or exposure figure is wrong, no indemnity covers output, and no insurance or warranty position is published.

Source: Vendor Published
CC on Practice Systems Integration DepthIntegrations are listed as logos or marked as coming, with no documentation an implementer could use.

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.

Integrations are named in one sentence, with no documentation an implementer could use. The vendor says the platform gathers data automatically from the tools a team uses daily, naming Microsoft, Google, Workday and Salesforce, and that the emails and invoices in them become a source of intelligence. That describes, at a high level, what moves. Nothing below that level is published: no integration page, connector list, developer documentation or API, no authentication or configuration requirements, and no direction of flow.

Nothing says what is read versus written back or what a customer must do to connect a system. The application sign in page supports single sign on alongside passwords, without naming the identity provider. Technology press, not the vendor, reports that the product is designed to work inside email rather than through a dashboard.

Source: Vendor Published
DD on Deployment Model and Data ResidencyNothing published on where the software runs or where client data sits.

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.

Where the software runs and where client data sits are both unstated. No hosting arrangement, cloud provider, region, data center, tenancy model or residency option is stated. The Terms of Service mention jurisdiction only as governing law and availability. They say the site is controlled or operated from the United States, is not meant to subject the company to other jurisdictions, may not be available everywhere, and may be limited by person, area or jurisdiction.

That concerns who may use the website, not where customer data is processed or stored. The Privacy Policy, the usual place for a processing location statement, excludes enterprise customer information. The product runs as a hosted web application on an app subdomain, which shows it is delivered from the cloud and nothing more.

Source: Vendor Published
DD on Security Certifications and Trust CenterNo independent security attestation located.

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.

No independent security attestation is published. There is no trust center, security or compliance page, or certification badge, and no reference to SOC 2, ISO 27001 or any equivalent, whether held, in progress or available on request. No penetration testing, vulnerability disclosure program or audit regime is described, and there is no contact route for a security review, so there is nothing to request. The only security statement is one sentence in the Privacy Policy about reasonable organizational, technical and administrative measures, with the usual note that no system is guaranteed secure, and that policy excludes information processed for enterprise customers. This looks like an early stage company rather than an evasive one, but a buyer can verify nothing before signing.

Source: Vendor Published
CC on Model Supply Chain DisclosureThe vendor refers to advanced or proprietary models without identifying what sits underneath.

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.

The vendor refers to proprietary models without identifying what sits underneath. Its language is consistent across the site and announcements: a proprietary data model and prediction engine, proprietary data pipelines, improved legal data, supervised learning reinforced with legal experts, and prediction engines built on a customer's own case history. Each describes an approach, not a component. No model, version or third party provider is named, no hosting for inference is stated, no subprocessor list exists, and there is no commitment to tell customers of changes.

Technology press reporting in late 2025, not the vendor, says the platform draws on large language models from OpenAI, Google and Anthropic and is built mainly on Google's Gemini, fine tuned for legal tasks. A customer cannot tell from the vendor what models receive its case files, which by the vendor's own account include medical and insurance records.

Source: Vendor Published
DD on Commercial TransparencyNo pricing information published at any level, including the unit of charge.

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.

No pricing is published at any level, including the unit of charge. There is no pricing page, plan or tier name, band, minimum or term, nothing on whether the product is licensed per user, matter, portfolio or prediction, and nothing on what implementation or data onboarding adds. The only commercial routes are a waitlist form and a calendar link to book a demonstration. The Terms of Service contain generic sales boilerplate about products, orders, shipping and credit cards that appears to be unadapted template text rather than a description of how this product is sold. Onboarding is by invitation only, so the commercial route is both unpriced and gated.

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.

Coverage is described with real substance, and its boundaries are left open. The buyer is identified precisely: litigation defense teams in corporate legal departments, with one solution page for the general counsel and one for product liability, and named user roles of attorney, paralegal and legal operations. Sectors are listed: retail, insurance, chemicals, hospitality and gaming including hotels, resorts, casinos and cruise ships, and pharmaceuticals and medical devices, described as sectors where litigation volume never slows.

Matter coverage is the most specific part. A published table sets out six categories the product is built for, each with indicative annual matter counts and page volumes: general liability claims, workers' compensation and employee claims, employment disputes, regulatory and compliance matters, customer and vendor disputes, and internal investigations. No jurisdiction is named, and nothing says which matter types or claim values fall outside the model's competence.

The shift in audience from litigation funders to plaintiff case selection to corporate defense is not reconciled on the current site.

Source: Vendor Published
Sources on file

2 public documents

The public pages on file for Theo Ai, 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.

  • theoai.ai6 signals

    Ethical Walls and Matter Segregation, Primary Law Corpus Provenance, Good Law Verification and 3 more

    Read Sep 12, 2026

  • Client Data in Training, Prompt and Output Retention, Third Party Request and Subpoena Notice and 2 more

    Read Sep 12, 2026

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?

No agreement published

No customer agreement, terms of service or equivalent contract is published on any surface located, and no policy page states a position on training. Nothing is granted and nothing is withheld, so a client has no term to hold the firm to. Where a policy page does state a position, the row takes the matching policy value instead and the summary records that no agreement exists.

No customer agreement is published and no policy takes a position on training, so a client has no term to hold the vendor to. Two documents are published and both were read in full: website Terms of Service last updated August 2025 and a Privacy Policy last updated 6 April 2025. They are linked as PDFs from the application sign in page; the marketing site's own privacy link goes nowhere. Neither reaches customer case material.

The Terms govern use of theoai.ai and never mention training, models or output. The Privacy Policy says in its second paragraph that it does not apply to information processed for enterprise customers, which customer agreements govern, and those agreements are not published. The Privacy Policy lists improving and developing products among its purposes, but only for website information. Section 9 of the Terms grants a perpetual, irrevocable, sublicensable license to use, analyze and exploit user Submissions for any purpose.

By its wording that covers material posted through the website, not case files uploaded to the application, though the sign in flow binds users to those Terms.

Source: Vendor PublishedThis Privacy Policy does not apply to information that we process on behalf of our enterprise customers as a processor or service provider. Our use of such information is governed by our agreements with those customers.As of Sep 12, 2026Evidence

Prompt and Output Retention

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

Not addressed

No located public material states how long prompts and outputs are retained.

Case material, prompts and generated output are kept for no stated period, and this is a confirmed absence. The Privacy Policy has a retention section, but the policy covers information collected through the vendor's websites, social media pages and online communications, not information processed for enterprise customers. Within that scope it says only that personal information is kept as long as needed or permitted for the purposes it was collected for, unless the law requires or allows longer, which is a criterion, not a period.

The Terms of Service do not address retention. No data processing addendum, security page, trust center or subprocessor list exists. Nothing says whether a case file uploaded for prediction is kept afterward, whether a customer can delete it, or what happens at the end of a relationship. The home page, the application sign in page and both published documents were read in full.

Source: Vendor PublishedAs of Sep 12, 2026Evidence

Ethical Walls and Matter Segregation

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

Not addressed

No located public material addresses walls or matter level segregation.

Walls and matter segregation have no described form anywhere. Nothing describes separation between customers, between matters within one customer, or between users of one deployment, and no permission model, roles or access groups are described. The sign in page supports single sign on alongside passwords, which is authentication, not segregation. Two features make the silence notable. The platform collects data automatically from a legal team's own systems, naming Microsoft, Google, Workday and Salesforce, so it reaches across the customer's systems rather than sitting behind a single upload.

And the announced roadmap of prediction engines built on each customer's own case history raises the question of whether one customer's history can influence another's predictions, which is not addressed. The Privacy Policy excludes enterprise customer information from its scope.

Source: Vendor PublishedAs of Sep 12, 2026Evidence

Third Party Request and Subpoena Notice

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

Disclosure addressed, notice absent

Published terms or policy address disclosure to authorities or in response to legal process, and no commitment or reservation regarding customer notice is located anywhere. The vendor has told the customer that data can leave and has said nothing about whether the customer hears of it.

Disclosure to authorities is addressed, and notice to customers is not. The Privacy Policy lists authorities among recipients and says the vendor may disclose information to law enforcement, public, regulatory and government authorities, courts, or others with valid subpoenas. It may do so where law or legal process requires, or where the vendor considers disclosure appropriate for other legal, compliance or fraud prevention purposes, which goes beyond compulsion.

Nothing commits the vendor to notify a customer of a demand, reserves discretion over notice, promises to seek a protective order or redirect the requester, or sets a timeframe, and no transparency report exists. The policy does not apply to information processed for enterprise customers, so it covers website and business contact information, not the case files the product takes in. For those files the position is not addressed, because no customer agreement is published.

Source: Vendor PublishedIf we are required by law or legal process or if we deem the disclosure appropriate for other legal, compliance or fraud-prevention purposes, we may disclose information to law enforcement, public, regulatory and government authorities, or courts, or other entities that obtain valid subpoenas.As of Sep 12, 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.

The data behind the predictions goes unidentified, and for a prediction engine that data is the product. The vendor refers to it repeatedly without identifying it: proprietary data pipelines, improved legal data, a proprietary data model, supervised learning with legal experts, and engines built on a customer's own case history. None names a source, jurisdiction, court record set, date range or licensing basis, and no coverage statement appears.

A buyer cannot tell whether the historical settlement and outcome data was lawfully obtained and on what terms, which matters because settlement figures are usually confidential. Nor can a buyer tell whether a customer's case history, once used to build its own engine, remains the customer's, because no customer agreement is published. Technology press reporting in late 2025, not the vendor, describes the platform as built on private settlement records obtained through litigation funders. Checked the home page, the application sign in page and both published documents.

Source: Vendor PublishedAs of Sep 12, 2026Evidence

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.

Citator checks belong to research tools, and for this product the usual question does not arise. It cites no cases, statutes or regulations. It works on a customer's own matters and historical outcome data and produces predictions, exposure figures, reserve flags and case summaries, none of which is a legal proposition a lawyer would check in a citator. The nearest concern is whether the historical data behind a prediction is recent enough as law and practice change, and nothing addresses that either: no update cadence, data date or last retraining date is published. The home page, the application sign in page and both published documents were read.

Source: Vendor PublishedAs of Sep 12, 2026Evidence

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.

Cases outside the data a prediction rests on get no described flag or refusal. Nothing states that the system declines to predict, marks a prediction as unsupported, reports that a case falls outside the data it holds, or escalates rather than answering, and no evaluation demonstrating any such behavior is published. One distinction is worth drawing because it could otherwise be mistaken for a confidence signal. This product's output is itself probabilistic: the vendor describes estimating the odds of success and a range of recovery, and a probability attached to an outcome is a statement about the case, not a statement about how much the model trusts its own reading of the file.

Nothing published exposes the second thing. The gap matters on a product that recommends settling or fighting automatically and in real time, because the case where the system has too little to go on is exactly the case a reviewer needs flagged. The surrounding documents do not fill it: the Terms of Service disclaim warranties as to the website's content, and the Privacy Policy does not reach the product.

Source: Vendor PublishedAs of Sep 12, 2026Evidence

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.

Searched on 12 September 2026, on the product and company names, against published trackers of decisions on AI generated fabricated citations, including coverage of the Damien Charlotin AI Hallucination Cases database and two independent sanctions trackers. The search looked for any court order, opinion or disciplinary record addressing fabricated or hallucinated citations produced by this product. None located. This covers fabricated citations only, as of that date, and is not a litigation history.

The name Theo is shared by several unrelated products and companies, so a future search needs the corporate name to be meaningful. The product does not generate citations to authority, so this is not the risk it mainly presents.

Source: Bar Guidance or Court RecordAs of Sep 12, 2026
Professional Responsibility

Bar Guidance Alignment

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

Not addressed

No located public material engages with bar or ethics guidance.

Professional conduct rules never come up, though the product recommends settling or fighting live matters. No bar opinion is named, ABA Formal Opinion 512 does not appear, no state guidance on generative AI in legal practice is referenced, and nothing maps the product to any jurisdiction's rules of professional conduct. Nor is professional responsibility referred to in general terms: neither published document mentions professional obligations, competence, supervision or the practice of law at all.

The Terms of Service, read in full, are a website terms of use running to twenty-three sections and containing no reference to legal advice or to the professional context in which the product is used; the Privacy Policy is a data document that excludes enterprise customer processing from its scope. The absence sits against a product that recommends whether to settle or fight a live matter and is marketed to attorneys, paralegals and legal operations staff. This is an absence in the published record on the date shown, not a finding about the vendor's internal practice.

Source: Vendor PublishedAs of Sep 12, 2026Evidence

Billing and Fee Posture

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

Savings claims only

Public materials claim time savings without addressing billing or disclosure, and the product sits inside a fee relationship between a lawyer and a client where those savings would change the bill.

Time savings are claimed, and nothing addresses billing or disclosure, though the product sits inside a lawyer client fee relationship for part of its market. The vendor's announcements say the average midsize firm reviews about 650 cases a year, each taking seven to thirty days, and that the product cuts this to seconds. The current site says legal teams resolve matters faster and do more with the same headcount. Law firms are a named buyer: a May 2025 announcement describes settlement prediction tools for Big Law firms as well as general counsel, and case assessment is usually billable.

Nothing addresses what happens to the bill when days of assessment take seconds, whether AI assisted analysis appears on an invoice, or whether clients are told. The current focus on in house departments and, earlier, litigation funders means no client bill is involved for those buyers.

Source: Vendor PublishedAs of Sep 12, 2026Evidence

Outside Counsel Guideline Readiness

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

Not addressed

No located public material supports a client side disclosure obligation.

A client asking who sees its case files could get no supported answer. There is no subprocessor list. No model provider is named, so a firm or company asked which third party sees its case files cannot answer from anything the vendor publishes; the only provider information comes from press reports. There is no client facing disclosure material, data processing addendum, security exhibit or consent pack to forward. Nothing suggests such material is available on request either: there is no security or compliance contact, trust center or request route.

What is published is a website Terms of Service and a Privacy Policy that excludes enterprise customer processing and points to unpublished customer agreements.

Source: Vendor PublishedAs of Sep 12, 2026Evidence

Court Disclosure Support

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

Not addressed

No located public material addresses court disclosure or verification certification.

Settlement recommendations carry no record a party could produce if asked how they were reached. The vendor says every case is summarized with clear attribution to source material, so a reader of a summary can see where a point came from in the customer's own file. That is a single marketing sentence aimed at the reader of a summary, not a record for a court or a certifying lawyer. No output identifies which model produced it, and no model is named anywhere.

Nothing separates machine generated from human edited content in an exportable form, no audit trail, export or record per document is described, and no disclosure template, certification form or court guidance was located. The question matters because a settlement recommendation or exposure figure informs decisions a party may later have to explain. Regulatory and compliance matters, one published category, can involve proceedings where the basis of an assessment is examined.

Source: Vendor Publishedevery case is summarized with clear attribution to source materialAs of Sep 12, 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 462 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 21, 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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