S
SmartDepo

SmartDepo turns deposition transcripts into page and line summaries with hyperlinked citations back to the testimony, meant to be copied straight into motions and briefs. Each transcript produces four documents: a page line summary organized by topic, at a seventh to a tenth of the original length; a key admissions analysis of one to five pages; a short deposition abstract; and a deposition memo organized around the legal and factual issues.

A newer platform layer adds chat across every deposition in a case, automated memos, a contradiction finder and theme extraction. The company calls its citation technology patent pending and says legal professionals review every summary before delivery. Pricing is published: a $99 per user monthly subscription that brings summaries to a flat $25 each, or standalone summaries from $85 down to $50 at volume, with a seven day free trial.

SmartDepo is now part of Rev, and buyers accept Rev.com, Inc.'s terms of service, which govern Rev's transcription services and do not name SmartDepo. Those terms allow customer content to be used to train Rev's own speech recognition and other AI models, though not for generative AI training.

Compared with

SmartDepo, 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.

Build your own comparison

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 models are what the buyer pays for. The product is an AI deposition summary produced in minutes from a transcript, which the vendor says rests on patent pending technology. The newer platform layer is entirely model work: chat across every deposition in a case, a contradiction finder, theme extraction and automated memos. Human quality review sits on top of model output as a check, not as the production method. Remove the models and what remains is the manual page and line summarizing the product exists to replace.

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.

Grounding is real and documented. Summaries carry hyperlinked page and line citations to the source testimony, the vendor publishes a comparison of its precise citations against competitors' broad topic ranges, and every summary is said to be reviewed by legal professionals before delivery. Those are design and process controls, not a claim alone. Against them sits a conflict between marketing and agreement, and the agreement governs.

The site advertises 100 percent guaranteed accurate page line citations and patent pending technology that can guarantee 100 percent accuracy. The governing terms at the same domain say the Services may contain errors, disclaim any warranty on the quality, accuracy, currency or completeness of the platform or its results, and make the customer solely responsible for checking work product before acting on it. A guarantee the agreement disclaims is not a measured accuracy figure, and no test set is described.

The failure modes the agreement names are audio quality, background noise, cross talk and speaker accent, which belong to transcription rather than summarizing.

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.

A real review step is committed, and the controls around it are not published. The vendor says legal professionals review every summary before it reaches the customer and lists humans in the loop as one of three trust pillars, a documented gate on every output. Section 6 of the governing terms adds a second check by making the customer solely responsible for verifying accuracy and completeness before acting. Nothing around those two points is published.

There is no threshold at which the system defers, no description of what reviewers check or against what standard, no stated reviewer qualification, and nothing on what happens when an error reaches a filed brief.

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.

Real deployment evidence with substance, short of measurement. Eleven customer firms appear as logos, including Mueller Law, Mann and Potter, Explico, Windsor Troy Law, the Hernandez Legal Group, Rencher Law Group, Amini and Conant, Struble Cohen Trial Lawyers, Broussard Knoll and Conforto Law Group. Four testimonials carry names tied to firms: Wolfgang Mueller of Mueller Law, Delaney J. Miller of Windsor Troy Law, Matthew Struble of Struble Cohen, board certified in civil trial and appeals, and a reviewer at Conant.

The quotes include operational detail, such as about 30 minutes to process a transcript and only minimal changes needed on review. No time or cost saving is tied to a named firm, nothing is dated, and a customers page was not opened and may say more.

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.

Confidentiality is covered in general commercial terms, and nothing addresses client confidences as such. Section 9 of the governing agreement is a conventional mutual confidentiality clause: customer content is the customer's confidential information, the recipient must use reasonable care, and disclosure is limited to staff and subcontractors under equal obligations. That can be read in advance. Privilege and work product are never mentioned, on a product whose entire input is deposition testimony.

Nothing addresses separation between customers or matters. No retention period is stated; section 2.2 instead reserves to the vendor the right to set how long it keeps customer content. Section 4.2 permits training rather than barring it. Section 2.3 bars submitting protected health information or sensitive personal data unless an Order expressly allows it, a live constraint for medical malpractice and personal injury depositions.

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.

Nothing published addresses the advice line, and this rests on a document read in full. The governing terms of service, retrieved, contain no statement that output is not legal advice, no competence or supervision language, no reference to any rule of professional conduct, and no jurisdiction limit. Section 6 requires the customer to verify accuracy before acting, framed as an accuracy precaution rather than a professional one.

The marketing says the product was built by attorneys for attorneys and founded by a practicing civil rights attorney. Its output is meant to be copied into motions and briefs and submitted to courts, which raises the professional responsibility question rather than answering it. The site's claim that legal professionals review every summary is a quality control statement, not a position on advice.

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 is copied into court filings. There is no responsible AI statement, no governance framework, no named owner, no description of pre-release testing, no evaluation results and nothing whatever on bias. The nearest published material is section 4.2 of the agreement, which describes where the models sit and who may see them, stating that Rev's speech recognition and other AI models are proprietary, maintained locally and not shared with any third party; that is a data handling statement rather than a governance regime.

Source: Operator Verified
CC on AI Safety and Data StewardshipA generic privacy policy covers the product without addressing what happens to documents and prompts after processing.

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.

The governing agreement covers the product without addressing what happens to transcripts after processing. Retention is acknowledged and then left open: section 2.2 reserves to the vendor the right to establish general practices and limits including the maximum period it will retain customer content, and no period is published anywhere. No deletion commitment is stated. Security is addressed only at the level of section 9.3, which promises measures in accordance with industry standards and applicable law, with no controls named.

No incident or breach notification practice is published. Subcontractors are acknowledged in section 1.3, including individual freelancers who perform human-based services, with none named. A data processing addendum and a business associate agreement are incorporated by reference at the parent's domain and were not opened. Section 2.3 places the backup obligation on the customer and excludes vendor liability for loss of data.

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.

A real published position, carried mostly by an insurance clause. Section 10 commits the vendor to keep insurance at stated minimums for the term: commercial general liability of one million dollars per occurrence and professional errors and omissions cover for the Service, including network security and data protection liability, of at least two million dollars per claim and four million in aggregate. The rest is thin.

The indemnity in section 7 runs only from customer to vendor, with nothing to the customer, including for third party infringement. Section 8 caps liability at fees paid in the previous twelve months for the services behind the claim. Section 6 disclaims all warranties, including accuracy. It carves out a warranty said to be at section 6.2, but no such subsection appears in the published document, so the one promised warranty cannot be read. No insurance certificate or carrier is named.

Source: Vendor Published
DD on Practice Systems Integration DepthNo integration into practice systems located, or the product stands alone and requires work to move to it.

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.

No integration into practice systems is published. No document management system, case management platform, transcript repository, word processor or electronic signature product is named on the pages read, and there is no integrations page or developer documentation in the navigation or footer. The only connectivity evidence is indirect: section 1.2 of the agreement mentions APIs made available to use the services without saying what they connect to.

The workflow described is manual: upload a transcript, receive documents, copy and paste citations into briefs. A Court Reporting Solutions page in the Products menu was not opened and may say more.

Source: Operator Verified
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.

Nothing is published about where the software runs or where transcripts sit. No region, country, hosting provider or data center is named on any surface, and no tenancy model is described: nothing states whether the platform is single or multi-tenant or how one customer's transcripts are separated from another's. The agreement is silent on both, referring only to Rev's servers in the context of storage allocation limits at section 2.2. There are no deployment options, no private or dedicated tier, and no residency commitment of any kind.

Source: Operator Verified
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. No SOC 2, ISO, HIPAA certification or any other framework is claimed anywhere on the site, there is no trust center or security page, no auditor is named, and no report is offered at any access tier. The site carries no security badges at all, so there is nothing unsupported on display either, which is why this sits at the floor rather than in the badges-without-scope band.

The agreement offers only section 9.3, promising security measures in accordance with industry standards and applicable law without naming a standard. A published customer testimonial refers to extensive discussion with the team on security before purchase, which indicates that security assurance here is a sales conversation rather than a published artifact.

Source: Operator Verified
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.

The supply chain is partly disclosed, in two fragments on different pages. The home page carries an icon labeled OpenAI Zero Data Retention among its three trust pillars. It names a third party model provider and the retention terms agreed with it, though no text explains the scope or which features it covers. Section 4.2 of the agreement describes the other half: the vendor's own speech recognition and generative models, stated to be proprietary, kept locally and not shared with any third party.

So both a named external provider and proprietary internal models are in use. No specific model or version is named, no location is given, no subprocessor or model provider list is published, and no commitment to notify customers of model or provider changes is published.

Source: Vendor Published
AA on Commercial TransparencyA buyer can learn what this costs without entering a sales process: published rates, the unit being charged, and what implementation adds.

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.

A buyer can price the product completely without speaking to anyone. Two purchase routes are published side by side. The platform subscription is 99 dollars per user per month and reduces summaries to a flat 25 dollars each at any volume, with the included capabilities itemized as AI deposition chat, automated memos, contradiction finder, and theme extraction and clips. Standalone summaries are published as a volume table with five bands: 85 dollars for one to nine, 75 for ten to nineteen, 65 for twenty to thirty, 55 for thirty-one to forty, and 50 for forty-one and above.

An interactive estimator on the page computes a monthly total against the pay-per-summary alternative and shows the saving. A seven-day free trial is offered with no credit card required and cancellation at any time, and signup is self-serve. The unit is unambiguous throughout, being one summary per deposition transcript. What is not published is any figure for implementation, since none is required.

Source: Vendor Published
CC on Firm and Practice CoverageCoverage is claimed broadly, for all firms or all practice areas, without evidence that the breadth is real.

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 asserted at the level of a whole profession without practice detail or boundaries. The buyer is described as attorneys and litigators generally, with the marketing framed as built by attorneys for attorneys, and a second segment is addressed through a Court Reporting Solutions page for court reporting agencies, which was not opened. No practice area is named anywhere as supported: the named customer firms span trial and personal injury practices but the vendor itself claims no area of specialization, no matter type and no transcript type.

Firm size is not addressed, in-house and government use are not mentioned, and nothing states where the product stops. The product is narrow by nature, covering deposition transcripts only, but that scope is implied by the offering rather than stated as a limit.

Source: Vendor Published
Sources on file

2 public documents

The public pages on file for SmartDepo, 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

From $99 per user/month

USD, as published, never converted
  • SmartDepo can be bought two ways and both prices are on the website.
  • You can subscribe for $99 per person each month, which also drops the price of each summary to a flat $25.
  • Or you can buy summaries one at a time with no subscription, starting at $85 each.
  • Buying more brings that down: $75 from ten, $65 from twenty, $55 from thirty-one and $50 from forty-one.
  • There is a 7-day free trial and you do not need a credit card to start it.

Both purchase routes are published in full with no sales contact needed. Subscription: the SmartDepo 2.0 platform at $99 per user per month, which brings summaries to a flat $25 each at any volume and includes AI deposition chat, automated memos, a contradiction finder, and theme extraction and clips. Pay as you go: standalone summaries with no platform and no monthly fee, priced in five volume bands at $85 for one to nine summaries, $75 for ten to nineteen, $65 for twenty to thirty, $55 for thirty one to forty, and $50 for forty one or more.

An estimator on the pricing page computes a monthly total for a chosen volume and compares the two routes. A seven day free trial needs no credit card, can be canceled at any time, and signup is self serve. The unit is one summary per deposition transcript. The entry price shown is the monthly subscription, the lowest recurring paid rate. Under the agreement, fees are payable in US dollars and invoices are due in 30 days.

Prepaid credits are not refundable and expire at the end of the order term, and unpaid balances carry a 1.5 percent monthly finance charge.

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 4.2 of the governing agreement says that if the customer subscribes to any of Rev's speech to text services, customer content will be analyzed by Rev's speech recognition models and other Rev AI models and may be used to train those models continuously. The clause names training expressly and applies to customer content. Two qualifiers remain without removing the permission. The same clause says customer content will not be used for any generative AI model training, and that Rev's models are proprietary, kept locally and not shared with any third party.

The home page icon reading OpenAI Zero Data Retention addresses the outside generative provider and fits the generative carve out; neither statement removes the permission to train Rev's own models. The clause is conditioned on speech to text services, and the agreement never describes deposition summaries.

Source: Vendor Publishedmay be used for continuous training of those modelsAs of Sep 4, 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.

Retention is acknowledged in the agreement and no period is published. Section 2.2 provides that the vendor may establish general practices and limits concerning use of the platform and the services, including the maximum period it will retain customer content and the maximum storage space allotted, which reserves the question to the vendor rather than answering it. No default window, no deletion commitment and no certification of deletion appears anywhere.

Section 2.3 places the backup obligation on the customer and excludes vendor liability for any loss of data. Searched the home page, the pricing page, the terms of service and the site footer on 4 September 2026.

Source: Vendor Publishedthe maximum period that we will retain Customer ContentAs of Sep 4, 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.

Stored transcripts have no described separation between customers or within one. Nothing states whether the platform is single or multi-tenant, how one customer's transcripts are separated from another's, or how access is controlled within a customer account, and no role or permission model is described. The agreement's only adjacent provisions are access restrictions on the customer's own authorized users at section 2.2 and a confidentiality obligation on personnel and subcontractors at section 9.2, neither of which describes segregation of stored content.

There is nothing to quote because the position is absent rather than asserted. Searched the home page, the pricing page, the product overview and the terms of service on 4 September 2026.

Source: Operator VerifiedAs of Sep 4, 2026

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 9.2 of the agreement says that if either party receives a subpoena, a request for production, a court order or a government requirement to disclose confidential information, it will give the other party prompt written notice so the request can be challenged or narrowed. Section 9.1 defines customer content as the customer's confidential information, so the commitment reaches deposition transcripts. The clause is mutual and has no carve out limiting notice to where the law permits it. No transparency report on such requests was located.

Source: Vendor Publishedthe recipient will give prompt written notice to the other partyAs of Sep 4, 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.

Nothing outside the uploaded transcript feeds a summary, and the product's design makes the question narrow: SmartDepo summarizes the deposition transcript the customer uploads rather than retrieving external legal content. No database, publisher, jurisdiction or license basis is named anywhere, and the citations the product generates point to page and line numbers within the customer's own transcript. Searched the home page, the pricing page, the product overview and the terms of service on 4 September 2026.

Source: Operator VerifiedAs of Sep 4, 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.

Nothing on any located surface addresses whether authority is checked for subsequent history. The product does not retrieve primary law at all: it reads a deposition transcript and produces summaries, admissions analyses, abstracts and memos citing back to page and line within that transcript. The question therefore does not bite on this product class. Searched the home page, the pricing page, the product overview and the terms of service on 4 September 2026.

Source: Operator VerifiedAs of Sep 4, 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.

A summary point the product cannot ground has no described handling. The marketing runs the other way, promising complete coverage with nothing left out and no errors of omission, and the agreement acknowledges at section 6 that the services may contain errors while placing verification on the customer, but neither describes an abstention path, a no-answer state, or any confidence or grounding signal surfaced to the reviewer.

The published human review step is a quality check on delivered output rather than a described behavior of the system. Searched the home page, the pricing page, the product overview and the terms of service on 4 September 2026.

Source: Operator VerifiedAs of Sep 4, 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 was searched on 4 September 2026 on both the product name SmartDepo and the parent company name Rev.com. No court order, opinion or disciplinary record naming the product was located. This records the state of the public record on that date and is not a finding about the product.

Source: Operator VerifiedAs of Sep 4, 2026Evidence
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.

Output meant for motions and briefs comes with no tie to any ethics rule. No bar association, regulator, rule of professional conduct or ethics opinion is named anywhere in the agreement, the home page or the pricing page. The nearest references are marketing identity claims, that the product is built by attorneys for attorneys and founded by a practicing civil rights attorney, which say who built it rather than which professional standards its use engages.

This matters more than usual because the output is expressly intended for copying into motions and briefs and for submission to the courts. Searched on 4 September 2026.

Source: Operator VerifiedAs of Sep 4, 2026

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.

Public materials claim time savings without addressing billing or disclosure. The home page says the product saves weeks of manual work, and testimonials describe processing in about 30 minutes, saving hours, and producing in minutes what used to take many hours. One testimonial mentions a reasonable pricing structure, and another says page and line summaries were the most time consuming part of trial preparation. Nothing addresses what happens to a client bill when that time disappears, and no record of AI assisted work by matter is described. The vendor charges per summary or per user rather than per hour, which is a cost fact, not an answer on client billing.

Source: Vendor PublishedAs of Sep 4, 2026

Outside Counsel Guideline Readiness

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

On request only

The material exists behind a sales conversation or an executed agreement.

The material a firm would need is referenced rather than published. A data processing addendum and a business associate agreement are incorporated into the agreement by reference at section 9.3 and sit on the parent's domain rather than any SmartDepo page; neither was opened, and both may say more. No subprocessor or model provider list is published. Section 1.3 says subcontractors, including individual freelancers, perform parts of the services, without naming any, and a client would want them identified since they handle deposition testimony.

The only provider named is a home page icon reading OpenAI Zero Data Retention, with no text on scope or which features it covers.

Source: Vendor PublishedAs of Sep 4, 2026

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.

Substantial parts of a record are produced, but nothing covers the AI itself. Summaries carry page and line citations hyperlinked to the source testimony, marketed as ready to paste into motions, briefs and court submissions, which covers the sources used. Every summary is said to be reviewed by legal professionals, a human verification step, though nothing describes it as recorded or exportable. Nothing says the model behind a given summary is recorded or disclosed, no verification record for each document is described, and no disclosure guidance or template for a court was located.

Source: Vendor PublishedAs of Sep 4, 2026
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 19, 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.
© 2026 AI Legal Index
3801 N Capital of Texas Hwy, Ste E240 · Austin, TX 78746