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Opus 2

Opus 2 is a platform for running commercial disputes from client instruction to the hearing room, built around case preparation, collaboration and live proceedings rather than document review. It has five solutions: Cases, for case management with a shared document workspace, annotation, chronologies and issue management; Hearings, for in person, remote and hybrid proceedings with an electronic bundle, real time transcription and evidence presentation; Transcripts, delivered real time, daily or deferred using speech recognition and professional editors; Arbitral Institutions, a case administration system for arbitral bodies; and Chambers, sold as LEX for barristers' chambers.

The AI layer, Opus 2 Ingenuity, works on the matter data teams create in the platform: it summarizes and analyzes documents, extracts people, organizations, events and topics, answers questions about a matter or selected documents, offers saved prompts, drafts and checks work product, surfaces events for chronologies, and during a live hearing compares testimony with the bundle to flag inconsistencies. Its published AI principles commit that a lawyer must apply their own judgment before AI data is saved and that client data never leaves its instance or crosses between cases.

Buyers are litigation and arbitration teams, chambers and arbitral institutions; the vendor says 98 percent of Am Law 50 firms use it.

Compared with

Opus 2, 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.

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

AI Centrality

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

The models drive several capabilities a buyer would miss, on a platform that ran without them for most of its life. Opus 2 Ingenuity is presented as an agentic framework covering document summaries and analysis, extraction of people, organizations, events and legal topics, questions scoped to a matter or selected documents, saved prompts, drafting and checking work product, speech recognition for legal transcripts, and live hearing analysis that compares testimony with the bundle to surface inconsistencies, which depends most on the machine.

Underneath sit eighteen years of case management, shared workspace, annotation, chronologies, electronic bundles, evidence presentation and hearing infrastructure, none of which needs a model. The vendor places the AI on top of that platform, describing the platform as the source of the matter intelligence the AI uses.

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.

Quality is asserted repeatedly and never measured. The vendor says better data relationships give more accurate insights, AI features add only relevant and helpful information, and the design stops errors from harming a case. Answers are said to be based on the selected documents and surrounding matter data, with the system locked to a single matter. Checked the AI, home, security and arbitral institutions pages: no accuracy figure, test set, benchmark, evaluation, error rate or hallucination disclosure.

Nothing says whether an answer or summary cites its source document, or whether a reader can open the source from the output. This matters most in hearings, where the system flags inconsistencies between live testimony and the bundle and counsel may act within minutes. Citator checks do not apply to a platform working on a matter's own evidence.

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 clear limit on autonomy is published, with a worked example. The Control principle says lawyers must control the process, using their own knowledge and judgment, before any data is saved permanently, so AI output stays a suggestion until a person commits it. The chronology feature shows this: the vendor says auto generating a chronology fills a timeline with irrelevant placeholders a team must remove, so instead the AI surfaces events for the lawyer to assemble, deciding relevance themselves.

Entity extraction works the same way, showing people, events and organizations with summaries so the user can drop irrelevant ones and duplicates before anything is added. Checked the AI, home and security pages: no threshold at which a feature declines to answer, no confidence signal, no route to report or fix a wrong output, and nothing on what happens after an error reaches a work product.

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.

Deployment evidence is deep, named and current, with no measured outcome. Five customer quotes give name, title and firm: a contentious legal technology portfolio manager at Linklaters, the chief knowledge and innovation officer at Dorsey & Whitney, the director of practice technology at Vorys, a litigation partner at Pillsbury and a paralegal at Shepherd and Wedderburn, plus two chambers clerks. About nineteen firm logos appear, including Baker Botts, Dentons, Herbert Smith Freehills Kramer, Holland & Knight, Mishcon de Reya, O'Melveny, Troutman Pepper Locke and Wilson Sonsini.

The institutional deployments can be checked independently: SIAC Gateway, run by the Singapore arbitral institution SIAC, is said to run on Opus 2, the Dubai institution DIAC is a named partner, and the transcript and hearing services supported the Manchester Arena Inquiry, Grenfell Tower Inquiry phase 2 and the Hillsborough Inquiry. The vendor reports use by 98 percent of Am Law 50 firms and 92 percent of the Financial Times top 25 most innovative firms. Those figures show reach, not results; no quote carries a number or date, and no case study with a method was found.

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.

One precise commitment covers the question that matters most, and nothing else. The Secure principle says client data will never be shared outside the client's instance or between two or more cases inside it, an explicit undertaking across matters and tenants, reinforced by queries locked to a single matter or selected documents and by firewalls, encrypted volumes, logical identifiers and ownership tags. The arbitral institutions material acknowledges that arbitration is confidential.

No customer agreement is published, so none of this is contractual: the footer carries a privacy policy, cookie policy, modern slavery statement, supplier code and code of business conduct, but no terms of service, master agreement or data processing addendum. Nothing addresses training on client material, no retention position exists for documents, prompts or output, and privilege and work product are not addressed in writing, though the platform holds working papers from highly sensitive disputes and public inquiries. The privacy policy was not opened and may say more.

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 no document on the site would carry it. The footer, read in full, lists a privacy policy, cookie policy, modern slavery and human trafficking statement, supplier code of conduct and code of business conduct, with no terms of service, disclaimer or professional responsibility statement. Nothing says output is not legal advice, nothing addresses responsibility when a drafted document or flagged inconsistency proves wrong, and no bar or regulator is named, including ABA Formal Opinion 512 and, for a London vendor selling to English firms and chambers, any Solicitors Regulation Authority or Bar Council guidance.

What is published is a supervision stance rather than a disclaimer: the vendor says it is not trying to replace a lawyer's intelligence, the AI enhances human ingenuity, and lawyers must apply their own judgment before anything is saved. That describes how the work is done, not who answers for it.

Source: Operator Verified
CC on AI Governance and Bias DisclosureResponsible AI principles are published without a mechanism, a testing regime, or anything a buyer could audit.

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.

Five well written principles are published, but not a governance framework. Empower, Enhance, Control, Secure and Trust each get a paragraph explaining design choices and rejected alternatives: why the vendor does not auto generate chronologies, why it keeps existing legal workflows, and what the AI may not write into a case without a lawyer's action. Two carry real commitments, on human control before anything is saved and on data never crossing an instance or case boundary.

Searched the AI, home, security and arbitral institutions pages and found no accountable owner for model behavior, no testing regime for the AI before release, no published results, no model documentation, and no standard or certification for AI as distinct from information security. STRIDE threat modeling and CREST accredited penetration testing cover software security, not model behavior. Nothing addresses bias or uneven output, though the hearing feature analyzes live testimony, and how it performs across accents, languages and interpreted evidence in international arbitration goes unasked.

Source: Vendor Published
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.

Strong on how the system is built, and silent on what happens to the data inside it. Published: AES-256 encryption at rest, TLS 1.2 in transit, including between internal components, email encrypted end to end, logical data separation through firewalls, encrypted volumes, logical identifiers and ownership tags, client defined password policy, several multifactor options, single sign on through the client's provider, and full client control over users.

Development practice is well documented: STRIDE threat modeling with a risk owner per threat, regular CREST accredited external penetration tests, automated and manual code review including third party dependencies, continuous integration, and formal change management with risk and impact assessment. Searched the security and AI pages and the footer and found no retention period, deletion or return commitment, export provision, subprocessor list, named cloud provider, or incident response or breach notification practice. The privacy policy was not opened and may say more.

Source: Vendor Published
DD on AI Liability and RecourseNothing published on who bears the loss when the system is wrong.

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.

Nothing is published on who bears the loss when the system is wrong, because no customer agreement is published. The footer legal inventory, read in full, is a privacy policy, a cookie policy, a modern slavery and human trafficking statement, a supplier code of conduct and a code of business conduct in PDF. There is no terms of service, no master services agreement, no subscription terms, no service level agreement and no data processing addendum.

Nothing therefore states a liability cap, an indemnity in either direction, a warranty on the software or on generated output, an insurance position, a limitation period, a governing law or a forum. The security page refers in passing to Opus 2 Services and Agreements meeting global legal and regulatory requirements, and names six regimes they are said to satisfy, which confirms agreements exist without publishing any of them. A buyer cannot read the allocation of risk in advance at any level.

Source: Operator Verified
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.

Integration is mentioned by category, never by name. The AI page says core documents flow from ediscovery and document management systems into one workspace, naming neither. The security page describes linking to a client's own single sign on provider, a useful identity integration but not a practice system one. Checked the AI, home, security and arbitral institutions pages and the full navigation: no document management system such as iManage or NetDocuments is named, and nothing covers matter management, ebilling, court filing, Word or Outlook.

No API, developer documentation or integration list was found. The vendor runs hearing infrastructure and has partnered with the IDRC hearing venue in London on a dedicated suite, which integrates with a venue rather than a system. The platform page was not opened and may name connectors.

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

Deployment Model and Data Residency

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

Residency is offered explicitly, and processing location is not addressed. The security page says the vendor hosts each client's solution and data in the location that best fits its needs, which is a customer choice, supported by separate EMEA, North America and Asia Pacific operations and a list of data protection regimes the services meet: GDPR, UK GDPR, Canadian PIPEDA, the California Consumer Privacy Act, the Singapore Personal Data Protection Act and the Australian Privacy Act.

Data is described as self contained through firewalls, encrypted volumes, logical identifiers and ownership tags, which is logical rather than physical separation. No list of regions or data centers is published, no cloud provider is named, and nothing separates where data is stored from where processing or model inference happens, which matters to a customer choosing a jurisdiction to keep material inside it.

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

Security Certifications and Trust Center

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

Current, named certification is published with nothing to verify it. The security page, last modified 19 Aug 2026, names ISO/IEC 27001:2022 and Cyber Essentials Plus, with regular CREST accredited external penetration testing, STRIDE threat modeling with risk owners, and automated and manual code review. It cites the 2022 revision of ISO 27001 rather than the superseded 2013 version. No certification body, certificate number, scope, validity period or issue date is given, there is no route to obtain the certificate or a report, no trust portal, and no SOC 2 of any type, which US buyers look for first.

The arbitral institutions page states ISO 27001:2013 while the security page states 2022, so the site gives two versions of the same certification, one out of date.

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 names its AI and never says what runs it. Opus 2 Ingenuity is described as an agentic framework working on matter data, covering summaries, entity extraction, questions, prompt building, drafting and real time speech recognition. Searched the AI, home, security and arbitral institutions pages: no model or provider is named, no first party versus third party distinction is drawn, no version appears, inference location is not stated beyond the general offer to host in a chosen geography, and there is no commitment to notify customers of model or configuration changes.

The one related commitment is that client data never leaves the client's instance, which says where data does not go without saying what processes it. For AI that reads live testimony in a courtroom, the model is what a tribunal would most likely ask about.

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. The full navigation and footer across all three regional sites, read, have no pricing or plans page. No rate, unit, tier, volume band, term or charge for implementation, hearing services or transcription appears, which matters because the offering mixes software with services such as court reporters, transcripts and hearing room setup, each usually priced differently.

Every call to action is to watch a demo or make contact. The only cost related claim is that connected data and workflows make AI use more efficient, so customers spend less.

Source: Operator Verified
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 documented by role and by solution, and no boundary is stated. Role pages cover partners and lead counsel, legal innovation teams, associates, and paralegals and litigation support, each with its own benefits. Solutions cover Cases, Hearings, Transcripts, Arbitral Institutions, and Chambers sold as LEX, identifying law firms, barristers' chambers and arbitral institutions as buyers. Practice focus is commercial disputes, international arbitration, public inquiries and inquests, with named inquiry work and arbitral institution deployments, and the chambers product reaches criminal clerking.

Reach spans three regional operations and six data protection regimes. The vendor says it serves the litigation and arbitration lifecycle in any jurisdiction worldwide, and nothing names a practice area, matter type, jurisdiction or scale it does not serve.

Source: Vendor Published
Sources on file

2 public documents

The public pages on file for Opus 2, 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.

What changed

Tracked changes at Opus 2

Sep 29, 2026Product / capabilityPartially Verified

Opus 2 added an AI deposition designation workflow to Opus 2 Ingenuity. An agent reads a transcript against the issues connected to the case and flags the most relevant passages, and lawyers accept, reject or adjust each one. Approved designations land in the matter record linked to their issue, time stamped and attributed to the reviewing lawyer, with every step written to an audit trail.

Bears on: Autonomy and Oversight ModelSource

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?

Terms silent

A published agreement or policy exists and none of it addresses the question either way, or the document that would answer it could not be read and the summary names the retrieval limit. The summary states which shape the silence takes: an improvement right granted that never names training, or no improvement right granted at all.

No located statement addresses whether client material is used to train or refine any model, either way. The nearest thing is a boundary rather than a training position: the Secure principle on the AI page commits that client data will never be shared outside their instance or between two or more cases inside an instance, which describes where data does not travel without saying what is done with it inside. Nothing states whether documents, transcripts, prompts or generated output feed model training, tuning or improvement, and no opt-out or opt-in mechanism is described.

The absence is structural rather than an omission from one page: no customer agreement of any kind is published, so there is no instrument in which such a commitment could sit. Searched the AI page, the home page, the security page, the arbitral institutions page and the full footer legal inventory on 31 Aug 2026; the privacy policy was not opened.

Source: Vendor Publishednever be shared outside of their instanceAs of Aug 31, 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.

Nothing published addresses retention of anything. Searched the AI, home, security and arbitral institutions pages and the full footer on 31 Aug 2026 and found no retention period, deletion commitment, return or export at the end of a matter, or customer or zero retention setting, for case documents and transcripts or for AI prompts and output. The security page covers encryption, access and development practice in detail and stops before the data lifecycle, and no customer agreement is published.

This matters because the vendor's hearing and transcript work covers public inquiries and confidential arbitrations, where how long a record persists is often set by order. The privacy policy was not opened and may say more.

Source: Operator VerifiedAs of Aug 31, 2026

Ethical Walls and Matter Segregation

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

Own model, documented

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

An explicit commitment across matters is published as one of five AI principles. The Secure principle says client data will never be shared outside the client's instance or between two or more cases inside it, covering both tenant separation and the wall between two matters run by the same firm. Questions are described as locked to a single matter or selected documents, and the security page names firewalls, encrypted volumes, logical identifiers and ownership tags as the mechanisms, describing the result as self contained.

Customers fully control creating, changing and removing users and permissions. Nothing describes how the boundary is enforced within the AI as opposed to storage, and none of it is contractual, since no customer agreement is published.

Source: Vendor Publishedbetween two or more cases inside of an instanceAs of Aug 31, 2026Evidence

Third Party Request and Subpoena Notice

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

Not addressed

No located term or policy addresses third party requests for customer data.

Nothing found addresses third party demands for customer data. Searched the AI, home, security and arbitral institutions pages and the full footer on 31 Aug 2026. Nothing covers subpoenas, court orders, warrants, regulatory demands or government requests: no commitment to notify the client, resist or narrow a demand or seek a protective order, nothing on conduct where notice is prohibited, and no transparency report.

No customer agreement is published where such a clause could sit. This matters because the vendor hosts evidence bundles and hearing records for confidential international arbitrations and statutory public inquiries, where parties would expect to be told of a demand. The privacy policy was not opened and may say more.

Source: Operator VerifiedAs of Aug 31, 2026
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 question does not arise in its usual form for this product. Opus 2 operates on the documents, evidence bundles and transcripts of a customer's own matter, so there is no vendor-assembled corpus of primary law, no third-party content license and no upstream data supplier to identify. One feature does sit close to the question and is recorded here: the vendor describes its AI as running on proprietary matter intelligence generated as legal teams collaborate in the platform over eighteen years, which raises rather than answers a provenance question about whether any of that accumulated intelligence informs models used for other customers.

The Secure principle's commitment that data never leaves a client's instance cuts against it, and nothing states the position directly. Searched the AI page, home page, security page and footer inventory on 31 Aug 2026.

Source: Operator VerifiedAs of Aug 31, 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.

Good law checking does not apply to an evidence and transcript platform. The platform manages, analyzes and presents the evidence and transcripts of a specific dispute; it does not retrieve primary law or assert legal propositions whose validity would need checking, and no citator is claimed. Searched the AI, home, security and arbitral institutions pages on 31 Aug 2026. The accuracy question that does apply, whether a summary, extracted entity or flagged inconsistency faithfully reflects the document or testimony, is covered under citation accuracy, where no measurement was found.

Source: Operator VerifiedAs of Aug 31, 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.

Nothing published describes what the system does when unsure. Searched the AI, home, security and arbitral institutions pages on 31 Aug 2026 and found no abstention path, no confidence or relevance score shown to users, no threshold at which a feature declines, and no statement of behavior when documents do not support the question. The vendor's answer is design rather than a signal: AI output is presented for a person to accept or discard, extracted entities are shown so users can drop irrelevant ones and duplicates, and a lawyer must apply their own judgment before anything is saved. That puts a person at every commit point without telling them which outputs the system was least sure of.

Source: Operator VerifiedAs of Aug 31, 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.

No court order, opinion, tribunal ruling or disciplinary record naming this product was found as of 31 Aug 2026. Searched the AI Hallucination Cases database maintained by Damien Charlotin, which tracks court decisions on hallucinated AI content and names the tool where known, plus several independent 2026 sanctions trackers and a UK tracker, by company and product name. This describes the public record on that date and is not a clearance.

Much of Opus 2's work is confidential international arbitration, where a similar failure would not usually produce a published decision, and a UK commentator who maintains one tracker notes anecdotally that hallucinated material is appearing in arbitrations without being reported or sanctioned.

Source: Operator VerifiedAs of Aug 31, 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.

No professional conduct authority is named anywhere. Searched the AI, home, security and arbitral institutions pages and the full footer on 31 Aug 2026 and found nothing citing ABA Formal Opinion 512, state bar guidance, or, for a company registered in England selling to English firms and chambers, Solicitors Regulation Authority or Bar Council guidance on AI. Nothing maps a feature to a duty a supervising lawyer could evidence.

The five AI principles address lawyers' concerns in general terms and commit to human control before data is saved, which is close to the competence and supervision duties those authorities describe without citing any. Nothing addresses arbitral institution rules or practice notes on AI, though the vendor supplies case management systems to arbitral institutions.

Source: Operator VerifiedAs of Aug 31, 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.

Efficiency and cost claims are made with no treatment of billing. Claims include less review time, more productivity, faster delivery to clients, and lower spend because connected data makes AI use more efficient. One chief knowledge and innovation officer describes the AI helping win a client on the phone and calls it a revenue generating opportunity. Searched the AI, home and security pages and the footer on 31 Aug 2026 and found no per matter record of AI assisted work for fee purposes and no guidance on billing or client disclosure.

The vendor does publish material on measuring legal technology return through utilization and time spent on tasks and matters, which is a measurement framework for the firm, not guidance on what clients are told.

Source: Vendor PublishedAs of Aug 31, 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.

None of the documents a client's AI clause asks for is published or offered. Searched the security and AI pages and the full footer on 31 Aug 2026: there is no subprocessor or model provider list, data processing addendum, security questionnaire, trust portal, AI disclosure pack, or route to request any of them. A firm can point a client to ISO/IEC 27001:2022 and Cyber Essentials Plus on the security page, regular CREST accredited penetration testing, six data protection regimes listed as met, including GDPR, UK GDPR and the California Consumer Privacy Act, and the AI principle that data never leaves a client's instance or crosses between cases.

A firm asked which third parties process its matter data, or whether the vendor trains on it, would find no answer and no one to ask short of negotiating.

Source: Operator VerifiedAs of Aug 31, 2026

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.

Nothing published would help a lawyer disclose or certify AI use, and this vendor raises the question directly. Its hearing product runs AI during a live proceeding: as testimony is transcribed, the system compares it with the hearing bundle and flags inconsistencies counsel may act on in the same session, and teams can run their own prompts on live evidence. Searched the AI, home, security and arbitral institutions pages on 31 Aug 2026 and found nothing on whether that use should be disclosed to the tribunal or other side, no model identification or versioning, no exportable record of AI outputs generated or acted on, no log of what users accepted or discarded despite the rule that a lawyer commits every AI result, and no template for a court's AI standing order. The vendor also supplies case management systems to arbitral institutions, putting it on both sides of the question.

Source: Operator VerifiedAs of Aug 31, 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 16, 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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