Steno
Deposition and litigation support company that pairs court reporting services with a software platform for the firms that book them. The services side covers court reporting, videography, interpreters, remote and hybrid depositions, equipment rental and conference rooms, along with DelayPay, a deferred payment arrangement that lets a firm postpone case costs until settlement. The technology side is where the record is graded. Steno Connect for Zoom runs remote depositions inside Zoom with exhibit upload, sharing, numbering and annotation. The Firm Dashboard is the repository where reporters deliver transcripts and a legal team sees every document, note and transcript on a case, with integrations into Clio and Litify. Transcript Genius is the generative AI layer over that library: it answers plain-English questions across one deposition or several at once, produces summaries customised by length, detail and focus, runs both exact-match and semantic search across the firm's transcripts, and surfaces contradictions across witnesses. Every answer carries a clickable page-line citation into the transcript, shown side by side with the source, and where a firm has ordered Text to Video Sync a citation opens the synchronised video at that moment so testimony can be checked for tone as well as words. Transcript Genius accepts uploaded third-party transcripts in text or PDF form as well as Steno's own, is included at no additional charge with no usage limit, and must be switched on by the customer in the Dashboard. Steno's terms of use name the model it runs on, Anthropic's Claude, and state that data shared with that provider is not used as broader training data, that the tool operates without human oversight, and that its output is a research aid rather than legal advice, attorney work product or a substitute for reading the record. The platform is SOC 2 Type II audited and HIPAA compliant, with a Vanta-hosted trust centre. Buyers are litigation teams at law firms of all sizes, particularly plaintiff-side practices drawn by the deferred payment option. Steno Agency, Inc. is an independent company founded in 2018 and based in Los Angeles, and raised a 49 million dollar Series C in March 2026.
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.
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.
Transcript Genius is a real generative product and it is given away. The vendor states that it is included in the product suite with no additional charge and no usage limitations, and the home page markets it as free with all Steno depositions. What a customer actually pays for is the services business underneath: court reporting, videography, interpreters, remote and hybrid depositions, equipment rental, conference rooms, and DelayPay deferred payment. Remove the AI and every one of those remains, along with Steno Connect for Zoom and the Firm Dashboard. The terms make the commercial position explicit by reserving the right to change the price of Transcript Genius or limit a person's usage of it at Steno's sole discretion, which is the language of a bundled extra rather than a core product. This is also where the membership screen sits: Steno is on the seed list as the deliberate borderline case, included because it ships a transcript analysis product rather than because it books court reporters, and that reading holds, but the same fact that makes it a software vendor at all keeps it low on this axis. The AI is a feature layer on a product whose value stands entirely without it.
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, documented and unusually well built into the product, and no number is published anywhere. Every generated answer carries a clickable page-line citation into the transcript, the interface presents the answer side by side with the source, and the vendor's own FAQ frames the point in one line: human verification is a simple click away. Summaries carry the same linked page-line citations so a reader can check any assertion against the original. Where a firm has ordered Text to Video Sync, a citation opens the synchronised deposition video at that moment, so a claim about testimony can be checked for tone and credibility rather than wording alone, which is the most complete verification path located in this pull. Retrieval is described at a working level, combining exact-match and semantically related search across the firm's transcripts. What is absent is measurement: no accuracy figure, no test set, no evaluation, no error rate, and no published comparison, against a marketing claim of unparalleled accuracy. The agreement is franker than the marketing and is recorded here for the gap: it states that AI is not perfect and may make mistakes, and disclaims any warranty of accuracy, completeness, truthfulness, timeliness or suitability for outputs. One limb does not apply and is neither credited nor penalised, since a citator is out of scope for a tool reading deposition transcripts rather than law.
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 written commitment that the tool sits under a lawyer's judgement, alongside the most candid statement about unsupervised operation in this pull. The agreement says both things in the same clause: that Transcript Genius uses artificial intelligence with no human oversight to assist with searching and interrogating transcripts, and that its outputs are provided as research aids and do not constitute legal advice, attorney work product, or a substitute for review of the underlying record. The first half tells a buyer that nobody at Steno checks an answer before it appears; the second places the obligation to check on the user and names the thing they must check against. Real review surfaces support it rather than leaving it as an instruction: per-answer page-line citations, a side-by-side transcript view, and video sync to the cited moment. Adoption is opt-in, with the terms requiring the customer to enable AI features through the Dashboard, and a design limit is published, in that only final ordered transcripts can be interrogated and not drafts. What is missing is the failure path: no abstention behaviour, no confidence or uncertainty indicator, no threshold at which the tool declines, and no route to report or correct a wrong answer.
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.
Named customers in quantity, no measurement attached to any of them. Five quotes carry a name, a title and a firm: a partner at Panish Shea Ravipudi, a director at Ivie Mcneill Wyatt Purcell & Diggs, a paralegal at Citron & Citron, an attorney at Gamliel Law, and an attorney at Burneikis Law who is also the subject of a published customer story about Transcript Genius. That is full attribution rather than a logo wall, and the firms are identifiable plaintiff and litigation practices rather than unnamed segments. What is absent is any figure. The customer story is qualitative, describing time reclaimed without saying how much, and none of the quotes carries a number or a date. One figure exists but sits outside the vendor's own current material, in trade coverage of the beta reporting an average saving of two to four hours per case, which is not published on any Steno page located on 31 Aug 2026 and is not credited here. No case study with a stated method was located. Checked the Transcript Genius page, the home page and the terms of use.
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.
Substantive published commitments on both confidentiality and training use, with one disclosure a buyer needs to read carefully. The agreement limits vendor access directly: Steno will not access or view Content except as authorised or instructed by the customer, as required to perform its obligations, as provided in the agreement and privacy policy, or as required by law, and undertakes physical and technical safeguards consistent with SOC 2. The customer retains copyright in its Content and grants only a revocable licence to access it to provide and operate the Services, with a further carve-out permitting aggregated and de-identified use to improve the Services. Training is addressed twice and in the customer's favour, with the terms stating that data shared with Anthropic through Steno is not used as broader training data and the product page stating that transcripts and conversations are never used to train the AI and that AI partners do not retain data after a session. The disclosure that needs reading is about recordings: the terms state that Steno may record the entirety of proceedings for backup purposes, including portions considered off the record, which in a deposition can include exchanges counsel would treat as privileged, and commit only that a backup recording will not be shared absent a valid subpoena without objection or a court order. What is missing is segregation: nothing describes a wall between matters, and the Firm Dashboard is designed for search across all of a firm's depositions at once.
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.
The single best-drafted advice-line clause located in this pull, and no engagement with the guidance behind it. The AI section of the terms states that AI tools are provided as research aids and do not constitute legal advice, attorney work product, or a substitute for review of the underlying record. That one sentence does three things most vendors leave to three separate clauses or omit entirely: it separates tooling from advice, it disclaims work product status rather than implying it, and it names the supervision obligation in concrete terms by identifying what the lawyer must go back and read. The general disclaimer reinforces it, stating that content on the Services is informational only, is not advice of any kind, is not a substitute for professional advice including legal advice, and that the user must seek independent professional advice before acting. Eligibility is stated at eighteen and above with a competence representation. What holds it below the top band is the surrounding framework rather than the clause. No bar or ethics authority is named on any product or policy surface, including ABA Formal Opinion 512, and no jurisdictional limit is stated. The vendor's blog carries an item titled as covering ABA and state legal ethics guidance on artificial intelligence, which was not opened on 31 Aug 2026 and is the rebuttal route.
AI Governance and Bias Disclosure
Published governance over model behaviour: who owns it inside the vendor, what is tested before release, and what is disclosed about disparate output across matter types, parties, or populations.
What exists is disclosure rather than governance, and one published term runs directly against a governance reading. The agreement is unusually forthcoming: it names the model, states that the tool runs without human oversight, commits that the model provider does not train on the data, and separately discloses that Steno uses AI internally for drafting communications, support triage, software development and routine operations under agreements that prevent those providers training on the data. Disclosing internal AI use at all is rare. But none of that is a governance framework. Searched the Transcript Genius page, the home page and the complete terms of use on 31 Aug 2026 and located no responsible AI page or principles, no accountable owner for model behaviour, no pre-release testing or evaluation regime, no published result, and no model documentation. The term that cuts against a governance reading is explicit: Steno may change the generative AI platform on which Transcript Genius is built at any time and in its sole discretion, which is a reserved right rather than a change-management commitment. Nothing anywhere addresses bias or uneven output, and the gap has a specific edge here, since the product analyses spoken testimony and the same company books interpreters, so performance across accents, dialects and interpreted evidence is the live question and is unasked.
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.
Most of the ground is covered across the agreement and the product page, with the usual two gaps. Retention and deletion are customer-controlled and stated plainly: uploaded documents, recordings and other materials are stored until the customer instructs Steno to delete or destroy them, which places the lifetime in the customer's hands rather than behind a schedule. Model-side retention is addressed separately and tightly, with AI partners stated not to retain data after a Transcript Genius session and the conversation thread kept only to give follow-up questions context and not shared to others. Access is limited contractually, with Steno undertaking not to access or view Content outside four named circumstances. Certification is claimed as SOC 2 Type II and HIPAA, and a data processing addendum is published and incorporated into the terms where applicable law requires. Third parties are named where they touch data: Anthropic as the model provider, Stripe and Bill.com for payments. What is missing is a maintained subprocessor list beyond those named in passing, and any incident response or breach notification practice, neither of which was located on the readable surfaces on 31 Aug 2026. The Vanta-hosted trust centre and the published DPA were not read and are the rebuttal route for both.
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.
The exposure the AI creates is disclaimed precisely and nothing is allocated back to the buyer. The terms cap Steno's liability for any damages arising from or related to the agreement, for any cause and regardless of the form of action, at one hundred US dollars, and state that more than one claim will not enlarge the limit. No carve-out from that cap is named anywhere, which distinguishes this from the other capped agreements in this category that at least exclude fraud, wilful misconduct or confidentiality breaches. Indirect, consequential, exemplary, incidental, special and punitive damages are excluded, suppliers are given no liability of any kind, and a broad release with a California Civil Code 1542 waiver runs from the customer to Steno. Disputes go to mandatory individual arbitration before the AAA in Los Angeles with a class action waiver and a thirty-day opt-out. A dedicated AI disclaimer states that outputs are provided as is and with all faults, with no representation or warranty of accuracy, completeness, truthfulness, timeliness or suitability, and that the customer assumes all risks associated with using them. The only indemnity in the agreement runs from the customer to Steno. No warranty attaches to any output, and no insurance position appears.
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.
The first named practice management integrations in this category. Steno publishes dedicated pages for a Clio integration and a Litify integration, both of which are legal practice systems in daily use rather than generic cloud storage, and both are surfaced in the primary navigation under Technology and Integrations rather than buried. Steno Connect for Zoom is a deeper integration than the name suggests, running the deposition inside Zoom with exhibit upload, sharing, numbering and annotation handled in the meeting rather than alongside it. The terms add third-party account linking for Google and Microsoft credentials and a general provision on connected accounts governing export of information to third-party services. What is not established is depth. The Clio and Litify pages were not opened on 31 Aug 2026, so what those integrations actually move, in which direction, and what a firm must configure is unverified, and no application programming interface, developer documentation or integration index was located. Nothing names a document management system, with nothing found for iManage or NetDocuments, and nothing for e-billing or court filing.
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.
Cloud delivery is implied throughout and the residency question is never reached on any readable surface. The product is a browser-based dashboard with a Zoom application, and the terms describe materials being stored on Steno's systems and housed securely pursuant to its security protocols, which establishes that the vendor holds the data without saying where. Searched the Transcript Genius page, the home page and the complete terms of use on 31 Aug 2026 and located no cloud provider, no region, no data centre location, no residency option or commitment, no tenancy model, and no statement distinguishing where transcripts are stored from where model inference runs, which matters here because the terms name a third-party model provider that processes the content. One retrieval limit belongs on the record rather than in the grade: the vendor operates a Vanta-hosted trust centre at trust.steno.com, linked from the primary navigation and every page footer, whose body renders client-side and returned no content on fetch on 31 Aug 2026. That is a limit on this index rather than an absence on the vendor's side, and nothing in it is inferred here, but it is the most likely home for infrastructure detail and should be read before this grade is relied on.
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.
Certification is real and stated in two places, with none of the surrounding detail that would let a buyer test it. SOC 2 Type II and HIPAA compliance are asserted on the Transcript Genius page as covering all data in the platform, and the agreement reinforces the first by undertaking safeguards in accordance with the policies guiding SOC 2 compliance. A dedicated trust centre exists at trust.steno.com, hosted on Vanta, and is linked from the primary navigation and from every page footer, which satisfies the connector this axis looks for and puts it a long way ahead of the vendors in this pull whose attestations sit on an unlinked parent portal. The vendor also extends the point outward rather than stopping at itself, stating that its AI partners adhere to the same standards and linking directly to Anthropic's own trust centre, terms and privacy policy from the agreement. What is absent: no auditor is named, no report date or coverage period is given, no scope statement appears, and no route to obtain a report is published on any readable surface. The trust centre body renders client-side and did not return content on 31 Aug 2026, which is recorded as a retrieval limit rather than graded, and nothing inside it is credited.
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 most specific model disclosure in this pull, and it is in the agreement rather than the marketing. The terms state that Transcript Genius is built primarily on the large language model of Anthropic's Claude technology, name the provider, and link directly to that provider's trust centre, commercial terms and privacy policy so a buyer can read the downstream commitments themselves. No other vendor across pull 2 names the actual model family its product runs on. The data position is stated alongside it, with data shared with that provider not used as broader training data, and a separate paragraph disclosing that Steno's internal AI use runs under agreements preventing those providers from training on data. What keeps it out of the top band is the change term, which is published and adverse: Steno may change the generative AI platform on which Transcript Genius is built at any time and in its sole discretion. That is a disclosure rather than a notification commitment, and it means the model behind an answer given today may not be identifiable tomorrow. Also absent: no model version, no statement of where inference runs, and no subprocessor list beyond the providers named in passing.
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.
Real figures are published and none of them is the price of the thing a firm actually buys. What a buyer can learn without asking: Transcript Genius carries no additional charge and no usage limitation, though Steno reserves the right to change that at its sole discretion; cancellation of a court reporter or videographer after 4pm on the business day before a job attracts a late fee of up to 400 dollars; interpreter cancellation terms run from 48 hours to 30 days in advance depending on dialect and the fee may be the interpreter's full charge; invoices more than 30 days late accrue interest at the lesser of 1.5 per cent per month or the legal maximum; and DelayPay defers case costs until settlement. Those are specific, unusual to publish, and all ancillary. The core rate is not published: the terms state that Steno makes its rates available on a rate card provided upon request and that rates may be separately negotiated, and that any quotation is a non-binding estimate for which the firm remains liable if the invoice exceeds it. There is no pricing page, no tier structure and no per-page, per-hour or per-witness figure. A buyer can price a cancellation to the dollar and cannot price a deposition at all.
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.
Who the product is for is clear and where it reaches is not stated, which for a deposition services business is the question that matters most. The buyer is identified without ambiguity across the material: litigation teams at law firms, with the deferred payment offering aimed squarely at contingency and plaintiff-side practices, and the terms contemplating firm administrators managing end users such as legal assistants and paralegals. Product coverage is stated in useful detail, with Transcript Genius accepting third-party transcripts in text and PDF alongside Steno's own so a firm can analyse depositions taken by opposing counsel, and with proceedings of any scale claimed from single depositions to complex multi-party matters. What is absent is geography and practice. No list of states or jurisdictions in which Steno can staff a proceeding was located, which is the decisive coverage question for court reporting, and the only geographic signal on the readable surfaces is a navigation entry for litigation support services specific to California and a Nevada firm registration in the footer. No practice area is named as served or unsupported. The services pages were not opened on 31 Aug 2026 and are the rebuttal route.
Legal Signals
What each signal meansA 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.
Client Data in Training
Can material a lawyer puts into this product be used to train a model?
The published terms prohibit training on customer content. Not a policy page, the agreement.
The commitment sits in the agreement rather than in a policy page, which is what lifts it to this value. The AI section of the terms of use, effective 13 May 2025, names the model provider and states that data shared with it through Steno is not used as broader training data, and a separate paragraph on Steno's internal AI use states that its agreements with language model providers ensure they do not train on data provided to them. The product page states the same thing more broadly, that transcripts and conversations are never used to train the AI, and the FAQ adds that the conversation is saved within a context window or thread only to allow follow-up questions and is not shared to others. One carve-out belongs in the record and a buyer should read it alongside: the Content licence in the terms permits Steno to use customer Content on an aggregated, de-identified basis for the purposes of improving the Services, which is narrower than model training but is not nothing.
Prompt and Output Retention
How long does the product keep what a lawyer typed, and can that be set to zero?
The customer controls the retention window, by product configuration or by contractual instruction, but zero retention is not stated as available.
Retention is placed in the customer's hands and stated in the agreement. The terms provide that materials a customer uploads through the Dashboard, Steno Connect for Zoom or a third-party integration are stored on Steno's systems until the customer instructs Steno to delete or destroy them, so the lifetime is a customer decision rather than a schedule the vendor sets. Model-side retention is separately closed off, with the product page stating that AI partners do not retain data after a Transcript Genius session. One element is disclosed without a period and should be read as the gap: the FAQ states that a conversation is saved within a context window or thread to enable follow-up questions with prior context, and that the thread is not shared to others, but nothing says how long Steno keeps that thread or whether deleting the underlying transcript removes it. Checked the terms, the Transcript Genius page and the home page on 31 Aug 2026; the data processing addendum was not opened.
Ethical Walls and Matter Segregation
Does retrieval respect the firm’s ethical walls, or can the model read across them?
No located public material addresses walls or matter level segregation.
Nothing addresses separation between matters, and the product is designed to run the other way. Transcript Genius is marketed on searching across all the depositions in a firm's Dashboard at once, with filtering by case, attorney or witness offered as a convenience rather than a boundary, and multi-transcript interrogation across a case is the headline capability. Access control is described only at firm level: the terms make a designated Administrator responsible for maintaining the list of End Users on the Firm Dashboard and for removing people who should no longer have access, and disclaim liability for anything arising from that list being wrong. Searched the Transcript Genius page, the home page and the complete terms of use on 31 Aug 2026 and located no ethical wall concept, no matter-level permission model, no statement that a user can be restricted to particular cases, and nothing about whether the AI respects any such restriction. For a firm running two matters with adverse interests, or screening a lateral hire, nothing published answers the question.
Third Party Request and Subpoena Notice
If someone subpoenas the vendor for a firm’s data, does the firm hear about it first?
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.
The situation is addressed for one category of material and no notice is committed for any of it. The terms state that in certain jurisdictions Steno may record remote depositions for backup purposes, and that it will not share such a recording absent the receipt of a valid subpoena without objection from any other party or entity, or a valid court order. That contemplates a party objecting, which implies someone would know, but nothing commits Steno to notifying the customer that a demand has arrived, to resisting or narrowing it, or to seeking a protective order. The provision covers backup recordings only; for Content generally the terms say Steno will not access or view it except, among other grounds, as required by law, with no notice attached. A related disclosure belongs alongside it, because it enlarges what could be demanded: Steno states it may record the entirety of proceedings for backup purposes, including portions considered off the record. No transparency report was located on 31 Aug 2026.
Primary Law Corpus Provenance
Where does the law in this product come from, and does the vendor have the right to use it?
No located public material identifies the corpus behind the product’s answers.
The question does not arise in its usual form for this product. Transcript Genius operates on the deposition transcripts of the customer's own matters, whether produced by Steno's court reporters or uploaded by the firm from another source, so there is no vendor-assembled corpus of primary law, no third-party content licence and no upstream data supplier to identify. The terms confirm the direction of ownership, with the customer retaining copyright and any other rights it already holds in Content it submits, and Steno taking only a revocable licence to access that Content to provide and operate the Services. Recorded as not addressed because that is the honest value, with the reason stated so it does not read as a gap. One product limit sits close to provenance and is worth recording: only final, ordered transcripts can be interrogated, not drafts or un-ordered ones, which the vendor frames as preserving the work court reporters provide and which also means the analysed text is a certified record.
Good Law Verification
Does the product tell you when the authority it just cited has been overruled?
No located public material addresses whether authority is checked for subsequent history.
Not applicable to this product class, and neither credited nor penalised. Transcript Genius reads deposition testimony rather than legal authority, so there is no proposition of law whose continued validity would need checking and no citator is claimed anywhere. Searched the Transcript Genius page, the home page and the complete terms of use on 31 Aug 2026. The verification question that does apply to this product is whether a generated answer or summary faithfully reflects the transcript, and the vendor answers it structurally rather than through a citator, with every response carrying a clickable page-line citation and a side-by-side view of the source; that is recorded on the Citation Accuracy axis, where no measurement of correctness was located.
Refusal and Uncertainty Behaviour
What does the product do when the answer is not in the corpus?
No located public material addresses what the product does when it cannot ground an answer.
Nothing published describes what the tool does when the transcript does not support the question. Searched the Transcript Genius page, the home page and the complete terms of use on 31 Aug 2026 and located no abstention path, no confidence or relevance indicator surfaced to the user, no threshold at which the tool declines to answer, and no statement of behaviour where testimony is ambiguous or the requested contradiction does not exist. The terms acknowledge the risk in general terms, stating that AI is not perfect and may make mistakes and that outputs carry no warranty of accuracy or completeness, and separately that the tool runs with no human oversight. The vendor's answer to uncertainty is verification rather than signalling, and is recorded because it is the substitute: every answer is cited to a page and line with the transcript shown alongside, so a user can check any individual claim, without being told which claims the system was least sure of.
Fabricated Citation Record
Does a public court record exist involving output from this product?
No court order, opinion or disciplinary record naming this product has been located as of the date shown. This is a statement about the public record, not a finding about the product.
No court order, opinion or disciplinary record naming this product has been located as of 31 Aug 2026. Instrument searched: the AI Hallucination Cases database maintained by Damien Charlotin, which tracks decisions worldwide where a court addressed hallucinated AI content and records the tool implicated where known, alongside several independent 2026 sanctions trackers and trade coverage, searched on the company name and the product name. This is a statement about the public record on the date shown rather than a clearance. The failure mode also sits at an angle to what this product does: Transcript Genius cites page and line locations inside a transcript the customer already holds rather than legal authority, so a fabricated case citation reaching a filing would originate elsewhere, while a citation to testimony that does not say what the summary claims would be a different failure, one this signal does not capture and one the product's side-by-side verification design is built to catch.
Bar Guidance Alignment
Has the vendor engaged in public with the ethics opinions its buyers are bound by?
No located public material engages with bar or ethics guidance.
No professional conduct authority is named on any product or policy surface. Searched the Transcript Genius page, the home page and the complete terms of use, effective 13 May 2025, on 31 Aug 2026 and located nothing citing ABA Formal Opinion 512, any state bar guidance on generative AI, or any rule governing the use of AI-assisted work in filings. The agreement does state a clear professional position without sourcing it, that AI outputs are research aids and do not constitute legal advice, attorney work product, or a substitute for review of the underlying record, which addresses the substance of the competence and supervision duties those authorities describe while citing none of them. One rebuttal route is recorded rather than credited: the vendor's blog carries an item titled as covering ABA and state legal ethics guidance on artificial intelligence, which was not opened. Editorial coverage of guidance is not the same as measuring the product against it, but it should be read before this value is relied on.
Billing and Fee Posture
Does the vendor address what happens to the bill when the work takes an hour instead of six?
Public materials claim time savings without addressing billing or disclosure.
Time savings are claimed and the client's side of the bill is addressed only for the underlying service, not for the AI. The efficiency claims run through the material: hours of transcript review reduced to minutes, summaries generated in minutes instead of hours, and hours saved on every case. Nothing published gives a per matter record of AI-assisted work for fee purposes, and no guidance exists on how a firm should treat or disclose AI-assisted analysis when billing a client. Two adjacent facts are recorded because they change the shape of the question for this vendor. Transcript Genius carries no additional charge, so there is no separate technology cost to pass through in the first place, which removes the disbursement question that metered AI tools create. And DelayPay defers case costs until settlement, which is a real published position on when a client bears litigation expense, though it concerns court reporting fees rather than AI. Checked the Transcript Genius page, the home page and the terms of use on 31 Aug 2026.
Outside Counsel Guideline Readiness
Can a firm get this vendor through a client’s AI clause without a bespoke negotiation?
A current subprocessor or model provider list is published.
A firm can answer the three questions a client's AI clause usually asks straight from the public agreement. The model provider is named, Anthropic's Claude, with direct links to that provider's trust centre, commercial terms and privacy policy so the client can read the downstream commitments itself. The training position is stated contractually, that data shared with the provider is not used as broader training data. Payment processors are named as Stripe and Bill.com. A data processing addendum is published and incorporated into the terms where applicable law requires, and a Vanta-hosted trust centre is linked from the primary navigation and every page footer, with SOC 2 Type II and HIPAA claimed. Two qualifications: this is a set of providers named in passing across an agreement rather than a maintained subprocessor list, so a firm cannot be sure it is complete or current; and the data processing addendum and the trust centre contents were not read on 31 Aug 2026, the latter because the portal renders client-side.
Court Disclosure Support
If a judge’s standing order requires an AI disclosure, can the product produce one?
Some elements of the record are available, short of a document level export.
More of the record than most, and no artifact designed to produce it. What a lawyer can establish: which model generated an answer, since the agreement names Anthropic's Claude as the platform Transcript Genius is built on, which is uniquely identifiable in this pull; and what the answer rests on, since every response carries a clickable page-line citation into the transcript, is shown side by side with the source, and where Text to Video Sync is ordered opens the synchronised video at the cited moment. That is a strong verification trail. What is missing is the record itself: nothing states that queries, answers or the acceptance of an answer are logged, no export exists for an AI-use disclosure or a certification of verification, and no template or guidance is published for a court's standing order. One published term undercuts retrospective identification and belongs here: Steno may change the generative AI platform at any time in its sole discretion, so the model behind an answer given months earlier may not be establishable later.