Opus 2
Platform for running commercial disputes, from client instruction through to the hearing room, built around case preparation, collaboration and live proceedings rather than document review. Five solutions sit on one platform: Cases for case management, preparation and strategy, with a shared document workspace, annotation, chronologies, worksheets and issue management; Hearings for in-person, remote and hybrid proceedings, combining a shared electronic bundle, real-time transcription and electronic presentation of evidence; Transcripts, delivering real-time, daily or deferred legal transcripts through a combination of speech recognition and professional editors; Arbitral Institutions, a configurable case administration system covering e-filing, registration, submissions portals and workflow for arbitral bodies; and Chambers, sold as LEX for barristers' chambers. The AI layer is branded Opus 2 Ingenuity and described as an agentic framework running on the matter data legal teams generate as they work in the platform rather than on documents alone. It summarises and analyses key documents, extracts people, organisations, events and legal topics, answers natural-language questions against a single matter or a selected document set, offers a prompt builder with reusable saved prompts, drafts and sense-checks work product, surfaces events for a lawyer to assemble into a chronology, and during a live hearing compares testimony as it is transcribed against the documents in the bundle to flag inconsistencies. The vendor publishes five AI principles, and two carry real commitments: that a lawyer must apply their own judgement before any AI-derived data is saved permanently, and that client data is never shared outside their instance or between two cases within it. Buyers are litigation and arbitration teams at large law firms, barristers' chambers and arbitral institutions; the vendor states that 98 per cent of Am Law 50 firms use it, and its transcript and hearing services have supported the Manchester Arena, Grenfell Tower phase 2 and Hillsborough inquiries, alongside institutional deployments with the Singapore International Arbitration Centre and the Dubai International Arbitration Centre. Opus 2 International Limited is an independent company registered in England, headquartered on New Street Square in London, with operations across EMEA, North America and Asia Pacific.
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.
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 and the feature list is substantial: summarisation and analysis of key documents, extraction of people, organisations, events and legal topics, natural-language querying scoped to a single matter or a selected document set, a prompt builder with reusable saved prompts, drafting and sense-checking of work product, speech recognition producing legal-grade transcripts, and live hearing analysis that compares testimony as it is transcribed against the documents in the bundle to surface inconsistencies. That last one is the most machine-dependent thing in this lane. Underneath it sits eighteen years of case management, shared document workspace, annotation, chronologies, electronic bundles, evidence presentation and hearing infrastructure, none of which needs a model to work, and the vendor's own framing places the AI on top of that rather than in place of it, describing the platform as the source of the matter intelligence the AI runs on. Graded level with Casepoint, Consilio and Nextpoint's peers on the same reasoning: the engine of real capabilities, layered on a workflow system that stands 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.
Quality is asserted repeatedly and never measured. The published claims are confident: better data relationships produce more accurate insights, AI features only contribute information that is relevant and helpful to lawyers, and the design prevents errors and erroneous data from having a negative impact on a case. Grounding is claimed in general terms, with query answers described as based on the content inside the selected documents and the data surrounding the matter, and the whole system described as locked down to a single matter. What is absent, checked across the AI page, the home page, the security page and the arbitral institutions page on 31 Aug 2026: no accuracy figure of any kind, no test set, no benchmark, no evaluation, no error rate, and no hallucination disclosure. Nothing states whether a generated answer or summary cites the document it came from, or whether a reader can open the source from the output, which is the verification surface this axis turns on. The gap matters most on the hearing feature, where the system flags inconsistencies between live testimony and the bundle in real time and counsel may act on that within minutes. One limb does not apply and is neither credited nor penalised: a citator or good-law check is out of scope for a platform working on a matter's own evidence.
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.
The clearest published statement of an autonomy limit in this pull, and it comes with a worked example. The Control principle commits that lawyers must control the process, using their own knowledge, experience and ingenuity, before any data is saved permanently, which is a persistence gate rather than a slogan: AI output is a suggestion until a person commits it. The chronology feature shows what that means in practice, and the vendor explains the reasoning rather than just the behaviour. It states that automatically generating a chronology fills a timeline with irrelevant placeholders a team must then review and remove, and that its approach instead surfaces events the AI identifies for the lawyer to assemble, deciding relevance themselves. The entity workflow has the same shape, presenting extracted people, events and organisations with a summary of each so the user can remove irrelevant ones and eliminate duplicates before anything is added to the case. Against that, checked on the AI page, the home page and the security page on 31 Aug 2026: no threshold at which a feature declines to answer, no confidence or uncertainty signal exposed, no route to report or correct a wrong output, and nothing describing what happens after an error reaches a work product.
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.
Deep, named and current deployment evidence, with no measured outcome attached to any of it. Five customer quotes carry a name, a title and a 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, with two more from barristers' chambers clerks. Around 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 are the strongest element because they are independently checkable: the Singapore International Arbitration Centre's SIAC Gateway is stated to be powered by Opus 2, the Dubai International Arbitration Centre is named as a partner, and the transcript and hearing services are stated to have supported the Manchester Arena Inquiry, the Grenfell Tower Inquiry phase 2 and the Hillsborough Inquiry. Two adoption figures are published, 98 per cent of Am Law 50 firms and 92 per cent of the Financial Times top 25 most innovative firms. What is missing is measurement: those figures describe reach rather than result, no quote carries a number or a date, and no case study with a stated method was located.
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 on the question that matters most for this product, and nothing else. The Secure principle states that clients can be certain their data will never be shared outside their instance or between two or more cases inside an instance, which is an explicit cross-matter and cross-tenant undertaking rather than a general assurance, and it is reinforced by the query feature being described as locked down to a single matter or selected documents, and by named infrastructure controls including firewalls, encrypted volumes, logical identifiers and ownership tags. The arbitral institutions material acknowledges the confidential nature of arbitration directly. That is the whole of it. No customer agreement of any kind is published, so none of it is contractual: the footer carries a privacy policy, a cookie policy, a modern slavery statement, a supplier code of conduct and a code of business conduct, and no terms of service, master agreement or data processing addendum. In consequence nothing addresses whether client material is used to train or refine models, no retention position exists for documents, prompts or generated output, and privilege and work product are nowhere treated in writing despite the platform holding the working papers of some of the most sensitive disputes and public inquiries in the country. The privacy policy was not opened on 31 Aug 2026 and is the rebuttal route.
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.
Nothing published addresses the advice line, and no document on the property would carry it. The footer legal inventory was read in full on 31 Aug 2026 and consists of a privacy policy, a cookie policy, a modern slavery and human trafficking statement, a supplier code of conduct and a code of business conduct. There is no terms of service, no disclaimer page and no professional responsibility statement. Nothing states that generated output is not legal advice, nothing addresses where responsibility sits when a drafted document or a flagged inconsistency proves wrong, and no bar or regulatory authority is named anywhere, including ABA Formal Opinion 512 and, for a vendor headquartered in London and selling to English firms and chambers, any Solicitors Regulation Authority or Bar Council guidance. What does exist is recorded rather than credited, because it is the inverse of what the band above describes: a supervision posture is published and a disclaimer is not. The vendor states that it is not trying to replace a lawyer's intelligence, that the AI is designed to enhance human ingenuity, and that lawyers must apply their own judgement before anything is saved. That is a statement about how the work is done, not about who answers for it.
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.
Five published principles that are better written than most and still not a governance framework. Empower, Enhance, Control, Secure and Trust each get a paragraph, and unusually the paragraphs explain design decisions and rejected alternatives rather than restating the principle: the vendor describes why it does not auto-generate chronologies, why it preserves existing legal workflows rather than replacing them, and what it will not let the AI write into a case without a lawyer's action. Two of the five carry real commitments, on human control before persistence and on data never crossing an instance or a case boundary. What is absent is the apparatus. Searched the AI page, the home page, the security page and the arbitral institutions page on 31 Aug 2026 and located no accountable owner for model behaviour, no described pre-release testing or evaluation regime for the AI specifically, no published result of any kind, no model documentation, and no external standard or certification covering AI as distinct from information security. STRIDE threat modelling and CREST-accredited penetration testing are published but cover software security rather than model behaviour. Nothing anywhere addresses bias or uneven output, which has a specific edge here: the hearing feature analyses live testimony, and how it performs across accents, languages and interpreted evidence in international arbitration is exactly the question, 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.
Strong on how the system is built and silent on what happens to the data inside it. What is published is specific and technical: AES-256 encryption at rest, TLS 1.2 in transit with internal component traffic also over TLS and email encrypted end to end, logical data segregation using firewalls, encrypted volumes, logical identifiers and ownership tags, client-defined password policy, multiple multi-factor authentication options, single sign-on linking to the client's own provider, and full client control over creating, modifying and removing users. The development side is better documented than most vendors manage, with STRIDE threat modelling and an assigned risk owner for each identified threat, regular CREST-accredited external penetration testing, automated and manual code assessment covering third-party dependencies, a continuous integration pipeline, and a formal change management protocol with documented risk and impact assessment. Against that, the data lifecycle is absent. Searched the security page, the AI page and the footer inventory on 31 Aug 2026 and located no retention period for anything, no deletion or return commitment, no data export provision, no subprocessor list, no named cloud provider, and no incident response or breach notification practice at all. Four of the five elements this axis asks for are missing. The privacy policy was not opened and is the rebuttal route.
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 on 31 Aug 2026, 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. This is the second vendor in this category to publish no customer agreement at all, and the pattern in both cases is the same: an enterprise vendor whose customers negotiate individually and never require a public one.
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 referenced by category and never by name. The AI page states that core documents flow seamlessly from eDiscovery and document management systems into a single workspace, which tells a buyer the direction of travel and identifies neither system. The security page describes linking to a client's own single sign-on provider to centralise account control, which is a real and useful enterprise integration but an identity one rather than a practice systems one. Beyond those, checked the AI page, the home page, the security page, the arbitral institutions page and the full navigation on 31 Aug 2026: no document management system is named, with nothing located for iManage or NetDocuments, and nothing for matter management, e-billing, court filing, Word or Outlook. No application programming interface, developer documentation or integration index was located. There is a real physical integration the record should not miss, since it is unusual: the vendor operates hearing infrastructure and has partnered with the International Dispute Resolution Centre in London to build a dedicated suite, which is an integration into a venue rather than a system. The platform page was not opened and is the most likely home for named connectors.
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 where processing happens is not addressed. The security page states that the vendor hosts the client's solution and data in the geographical location that best fits their needs, which is a residency option stated as a customer choice rather than a fixed footprint, and it is corroborated by the shape of the business: three regional operations with separate EMEA, North America and Asia Pacific sites, and a published list of the data protection regimes the services are said to meet across those markets, naming GDPR, UK GDPR, Canadian PIPEDA, the California Consumer Privacy Act, the Singapore Personal Data Protection Act and the Australian Privacy Act. Tenancy is described in substance if not in name, with data said to be self-contained through firewalls, encrypted volumes, logical identifiers and ownership tags, which is a logical rather than physical separation model. What is not published: no list of the available regions or data centre locations, no named cloud provider or statement of whether the infrastructure is the vendor's own, and no distinction between where data is stored and where processing or model inference happens, which matters for a customer choosing a jurisdiction precisely to keep material inside it.
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.
Real, current, named certification with nothing attached to let a buyer verify it. The security page, last modified 19 Aug 2026, names ISO/IEC 27001:2022 and Cyber Essentials Plus, and adds a genuine third-party testing element in regular CREST-accredited penetration testing by external groups, alongside STRIDE threat modelling with assigned risk owners and automated and manual code assessment. Naming the 2022 revision of ISO 27001 rather than the superseded 2013 version is worth crediting, since the transition deadline has passed. What is missing is everything around it: no certification body or auditor is named, no certificate number or scope statement is given, no validity period or issue date appears, no route is published for obtaining the certificate or any report, there is no trust portal, and no SOC 2 of any type is claimed, which a US buyer will look for first. One inconsistency belongs on the record: the arbitral institutions page states ISO 27001:2013 while the security page states 2022, so the same site publishes two different versions of the same certification and one of them is out of date.
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 AI framework running on the matter intelligence generated in the platform, and the capability set is set out at length across summarisation, entity extraction, natural-language query, prompt building, drafting and real-time speech recognition. Nothing identifies what sits underneath any of it. Searched the AI page, the home page, the security page and the arbitral institutions page on 31 Aug 2026: no model is named, no provider is named, no distinction is drawn between first-party and third-party models, no version appears, no inference location is stated as distinct from the general offer to host in a chosen geography, and no commitment exists to notify customers when a model or its configuration changes. The one adjacent commitment is a boundary rather than an identification: client data is stated never to be shared outside the client's instance, which tells a buyer where data does not go without telling them what processes it inside. For a platform whose AI reads live testimony in a courtroom, the absence of a named model is the disclosure a tribunal would most likely ask about.
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 information is published at any level, including the unit of charge. The full primary navigation covering who we help, platform, AI, solutions, resources and company, and the complete footer across all three regional sites, were read on 31 Aug 2026: there is no pricing or plans page in either, and no pricing entry anywhere in the site structure. No rate, no unit, no tier or package names, no volume band, no term length and no statement of what implementation, hearing services or transcription add, which matters here because the offering mixes software subscription with delivered services including court reporters, transcript production and hearing room setup, each of which would ordinarily be priced differently. Every call to action across the home page, the AI page and the solutions pages is to watch a demo or contact the company. The only cost-adjacent claim located is a general assertion that connected data and workflows drive more efficient AI usage so a customer spends less.
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 along two axes with real substance, and no boundary is stated. By role, which is an unusual and useful cut: partners and lead counsel, legal innovation teams, associates, and paralegals and litigation support, each with a dedicated page and its own stated benefits. By solution: Cases, Hearings, Transcripts, Arbitral Institutions, and Chambers sold as LEX, which together identify the buyer types as law firms, barristers' chambers and arbitral institutions. Practice focus is clear from the material rather than asserted, covering commercial disputes, international arbitration, public inquiries and inquests, with named inquiry work and named arbitral institution deployments, and the chambers product reaching criminal clerking. Geographic reach is real, with three regional operations and a published list of six data protection regimes across those markets. What is absent is any limit: the vendor states it modernises the litigation and arbitration lifecycle in any jurisdiction worldwide, and nothing identifies a practice area, matter type, jurisdiction or scale that the platform does not serve. Checked the navigation, the home page, the AI page and the arbitral institutions page on 31 Aug 2026.
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?
No located term or policy addresses the question either way.
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.
Prompt and Output Retention
How long does the product keep what a lawyer typed, and can that be set to zero?
No located public material states how long prompts and outputs are retained.
Nothing published addresses retention of anything. Searched the AI page, the home page, the security page, the arbitral institutions page and the complete footer legal inventory on 31 Aug 2026 and located no retention period, no deletion commitment, no return or export provision at the end of a matter, and no customer-configurable or zero-retention setting, either for the documents and transcripts held in a case or for the prompts and generated output the AI features produce. The security page addresses encryption, access control and development practice in technical detail and stops before the data lifecycle. There is no customer agreement published in which a retention term could appear. The question has particular weight for this vendor because its hearing and transcript work covers public inquiries and confidential international arbitrations, where the period for which a record persists is often itself a matter of order. The privacy policy was not opened and is the rebuttal route.
Ethical Walls and Matter Segregation
Does retrieval respect the firm’s ethical walls, or can the model read across them?
The product maintains its own permission model, documented, requiring the firm to keep it aligned.
An explicit cross-matter commitment, published as one of five AI principles rather than buried in a security annex. The Secure principle states that with every AI enhancement clients can be certain their data will never be shared outside their instance or between two or more cases inside an instance, which addresses both tenant separation and the wall between two matters run by the same firm on the same system. It is reinforced at the feature level, where natural-language querying is described as locked down and focused only on a single matter or a selected set of case documents, and at the infrastructure level, where the security page names the mechanisms as firewalls, encrypted volumes, logical identifiers and ownership tags, describing the result as self-contained. Client-side control is also stated, with full customer authority over creating, modifying and removing users and their permissions. What is not published: no description of how the boundary is enforced within the AI specifically as opposed to the storage layer, and no contractual form for any of it, since no customer agreement exists.
Third Party Request and Subpoena Notice
If someone subpoenas the vendor for a firm’s data, does the firm hear about it first?
No located term or policy addresses third party requests for customer data.
Nothing located addresses third-party demands for customer data. Searched the AI page, the home page, the security page, the arbitral institutions page and the complete footer legal inventory on 31 Aug 2026. No statement covers subpoenas, court orders, warrants, regulatory demands or government requests: nothing commits to notifying the affected client, nothing addresses resisting or narrowing a demand or seeking a protective order, nothing describes conduct where notice is legally prohibited, and no transparency report or disclosure statistics exist. No customer agreement is published in which such a clause could sit. The question is sharper for this vendor than for most, because it hosts the evidence bundles and hearing records of confidential international arbitrations and of statutory public inquiries, where a demand for material would raise questions the parties would expect to be told about. The privacy policy was not opened and is the rebuttal route.
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. 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 licence and no upstream data supplier to identify. Recorded as not addressed because that is the honest value, with the reason stated so it does not read as a gap. 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.
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. The platform manages, analyses and presents the evidence and transcripts of a specific dispute; it does not retrieve primary law or assert propositions of law whose continued validity would need checking, and no citator or treatment signal is claimed anywhere. Searched the AI page, the home page, the security page and the arbitral institutions page on 31 Aug 2026. The accuracy question that does apply is whether a generated summary, extracted entity or flagged inconsistency faithfully reflects the underlying document or testimony, and it is recorded on the Citation Accuracy axis, where no measurement of any kind 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 system does when it is unsure. Searched the AI page, the home page, the security page and the arbitral institutions page on 31 Aug 2026 and located no abstention path, no confidence or relevance score surfaced to the user, no threshold at which a feature declines to produce output, and no statement of behaviour where the documents do not support the question asked. The vendor's answer to uncertainty is architectural rather than signalled, and is recorded because it is the substitute: AI output is presented for a person to accept or discard, with extracted entities shown for the user to remove irrelevant ones and eliminate duplicates, and with a stated rule that a lawyer must apply their own judgement before anything is saved permanently. That places a human at every commit point without telling them which outputs 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, tribunal ruling 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 a UK-specific tracker, searched on the company and product name. This is a statement about the public record on the date shown rather than a clearance, and one limit of the instrument is worth noting for this vendor in particular: the trackers cover court decisions, and a substantial part of Opus 2's work is confidential international arbitration, where a comparable failure would not ordinarily produce a published decision. A UK commentator maintaining one of these trackers notes anecdotally that hallucinated material is appearing in arbitration proceedings without being reported or sanctioned.
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 anywhere. Searched the AI page, the home page, the security page, the arbitral institutions page and the complete footer legal inventory on 31 Aug 2026 and located nothing citing ABA Formal Opinion 512, any state bar guidance, or, for a company registered in England and selling to English firms and barristers' chambers, any Solicitors Regulation Authority or Bar Council guidance on the use of artificial intelligence. Nothing maps a platform feature to a professional obligation a supervising lawyer could evidence. The vendor does publish five AI principles that engage with lawyers' concerns about AI in general terms and commit to human control before data is saved, which is adjacent to the competence and supervision duties those authorities describe without citing any of them. Nothing addresses arbitral institution rules or practice notes on AI use either, despite the vendor supplying case management systems to arbitral institutions themselves.
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.
Efficiency and cost claims without any treatment of how the work is billed. The published claims run to reduced review time, greater productivity, faster delivery of value to clients, and a cost-efficiency benefit framed as spending less because connected data and workflows drive more efficient AI usage. One customer quote goes further into revenue, with a chief knowledge and innovation officer describing the AI functionality winning a client on the phone and calling it a revenue-generating opportunity for the firm. Searched the AI page, the home page, the security page and the footer inventory on 31 Aug 2026 and located no per matter record of AI-assisted work intended for fee purposes and no guidance on billing, fee or client disclosure treatment. One adjacent resource is recorded because it is closer than most: the vendor publishes material on measuring legal technology return on investment through utilisation, time spent on tasks and time spent on matters, which is a measurement framework for the firm rather than guidance on what a client is told.
Outside Counsel Guideline Readiness
Can a firm get this vendor through a client’s AI clause without a bespoke negotiation?
No located public material supports a client side disclosure obligation.
None of the artifacts a client's AI clause asks for is published or offered. Searched the security page, the AI page and the complete footer legal inventory on 31 Aug 2026: there is no subprocessor or model provider list, no data processing addendum, no security questionnaire response, no trust portal, no AI disclosure pack, and no stated route for requesting any of them. What a firm can point a client to is real but partial and is recorded so the value is not read as nothing published: ISO/IEC 27001:2022 and Cyber Essentials Plus are named on the security page, regular CREST-accredited external penetration testing is described, six data protection regimes are listed as met including GDPR, UK GDPR and the California Consumer Privacy Act, and the AI principles page carries a specific commitment 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 a bespoke negotiation.
Court Disclosure Support
If a judge’s standing order requires an AI disclosure, can the product produce one?
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 more directly than any other in the pull. Its hearing product runs AI inside a live proceeding: as testimony is transcribed in real time, the system compares the evidence being given against the documents in the hearing bundle and generates insights such as inconsistencies, which counsel may act on within the same session, and teams can additionally run their own prompts against live evidence. Searched the AI page, the home page, the security page and the arbitral institutions page on 31 Aug 2026 and located nothing on whether that use is or should be disclosed to the tribunal or the other side, no model identification or versioning, no exportable record of which AI outputs were generated or acted on, no log of what a user accepted or discarded despite the stated rule that a lawyer commits every AI-derived datum, and no template or guidance for a court's standing order on AI use. The vendor also supplies case management systems to arbitral institutions, which places it on both sides of the question.