Advocacy vs Opus 2: how they compare in 2026

A
Advocacy profile
O
Opus 2 profile
Last verifiedSeptember 25, 2026

Advocacy and Opus 2 are litigation workspaces where a team keeps the case record and runs AI over it: Advocacy builds a case memory, Axiom, that accumulates a matter's facts and contested issues with every query and draft, and Opus 2 runs its Ingenuity AI across case preparation, transcripts and live hearings. Opus 2 sits in the top two bands on six of fifteen axes and Advocacy on one of fifteen. Opus 2's lead is evidence that exists outside a sales conversation: named firms and arbitral institutions, ISO 27001:2022 and Cyber Essentials Plus, a stated choice of hosting location, and a published rule that a lawyer must approve AI output before it is saved and that data never crosses between cases. Most of Advocacy's record could only be read through search indexes, and it defers platform terms to individual customer agreements. Advocacy's counterweight is on training. Its privacy policy states that it does not use customer uploaded content to train its AI, though that policy covers its website and refers platform data to those agreements. Opus 2 says nothing on training. Neither publishes a customer agreement or a price.

At a glance

Category
AdvocacyLitigation & eDiscovery
Opus 2Litigation & eDiscovery
Founded
AdvocacyNot published
Opus 22008
Headquarters
AdvocacySan Francisco, California, United States
Opus 2London, United Kingdom
Last verified
AdvocacySep 5, 2026
Opus 2Aug 31, 2026

All 15 axes, side by side

The same grid applied to every vendor in the index, graded from public sources. 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.

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

Remove the models and nothing remains to sell. The product is defined by its model architecture: Axiom is described as a proprietary case memory layer that ingests and understands every document in a case, builds memory persisting across every interaction, and reasons across the entire matter rather than one document at a time, expressly in contrast to querying a generic legal database. All three surfaces on top of it are generative, being a conversational assistant answering questions about the matter, a drafting environment with generation streaming onto the page, and a structured extraction tool. The vendor's own positioning makes the point sharply, rejecting the sidebar plugin model on the ground that a plugin is bolted onto someone else's product while this is the product. There is no document management system, matter management layer or review platform underneath that a firm would license on its own. Graded on material recovered through search indexing on 5 September 2026, since the domain refuses automated fetching; the reasoning here does not depend on any unreachable surface.

Opus 2
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.

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.

Advocacy
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.

Accuracy is asserted and the mechanism behind it is named without being described. The reachable material claims outputs a buyer can trust, states that citations are verified inside the drafting surface, and makes an architectural argument that grounding comes from case memory built on the matter's own record rather than a generic database, which the company frames as the system learning about the case before it does the work. That is an assertion of accuracy and a claim about where grounding comes from. What is absent from everything reachable is any test or description: no accuracy figure, no evaluation, no test set, no error rate, no statement of failure modes, and nothing describing what verifying a citation actually consists of or whether a user can open the source behind an assertion. The floor band does not fit, because accuracy and grounding are both addressed rather than unmentioned. Graded on the home page and the vendor's December 2025 announcement, recovered through search indexing on 5 September 2026; the site refuses automated fetching and any accuracy or benchmark page it publishes is the route to correct this row.

Opus 2
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.

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.

Advocacy
CC on Autonomy and Oversight ModelAutonomy is claimed and oversight is asserted without a mechanism. Human in the loop appears as a phrase rather than a described control.

The division of labour is implied by the shape of the product and never described as a control. What is reachable presents a workspace the litigator works inside: research sits beside the draft, generation streams onto the page the user is writing, and the recorded activity types are queries, reviews and notes attributed to people against docket entries, which describes a lawyer doing the work with the system assisting. The company also states that the system learns about the case before it does the work, which is a statement about sequencing rather than supervision. Nothing reachable describes a review gate, an approval step, a threshold at which the system acts without a person, what happens when an output is wrong, or any abstention or confidence behaviour, and one line runs the other way, promising that what you draft is what you file. This is the middle band rather than the floor because oversight is implicit in the described workflow rather than absent from it. The product pages that would ordinarily carry a control description could not be fetched on 5 September 2026 and are the rebuttal route.

Opus 2
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.

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.

Advocacy
DD on Operational and Outcome EvidenceNo production evidence located. Announcements, funding and launch coverage are not deployment evidence.

No production evidence was located in any reachable material. The buyer segment is stated, mid-sized and Am Law firms, and no firm within it is named. No customer, case study, logo, deployment or figure appears in the home page material recovered through indexing, and none appears in the vendor's own December 2025 announcement, which is the surface where a company ordinarily names its first references and which instead quotes only its own chief executive and chief operating officer. The interface material published uses a fictional matter, Estrada v. Kincade, with invented docket entries, so nothing there is a deployment either. The grade rests on the announcement rather than on the block: a press release naming no customer is evidence in its own right. The customer-facing pages of the site could not be fetched on 5 September 2026 and are the rebuttal route; a named reference with a date or a figure would move this row.

Opus 2
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.

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.

Advocacy
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.

The commitment that matters cannot be read before signing, and the vendor's own policy is what establishes it. The published privacy policy states that the company does not use customer-uploaded content to train its AI systems, which is a real and specific undertaking; the same policy opens by scoping itself to the Website and provides that the handling of data uploaded to the AI platform is covered separately in individual Customer Agreements. A commitment stated in a document that disclaims coverage of the platform has not been made about the platform, and the instrument that governs it is negotiated per customer and therefore unpublished by design. That is the band's second limb exactly: the commitment lives in a sales conversation and cannot be read in advance. Nothing reachable addresses privilege or work product treatment, separation between matters or between firms, or what any model provider retains, on a platform the vendor describes as holding strategy notes, evidentiary rulings and work product, and which it intends to make shareable across a team. Any security or terms page the site publishes could not be fetched on 5 September 2026 and is the rebuttal route.

Opus 2
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.

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. 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.

Advocacy
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.

Nothing in the reachable material addresses the advice line, on a product that drafts filings. No statement that the company is not a law firm, no disclaimer that output is not legal advice, no description of the professional judgement required before a draft is filed, no jurisdiction limit and nothing on supervision or competence appears in the home page material, the privacy policy or the vendor's own announcement. The exposure is specific rather than formal, since the product is sold to surface critical facts and draft winning motions, its drafting surface promises that what you draft is what you file, and its own framing is that lawyers who control the context win. The terms of service, which is where such a statement would ordinarily sit, did not surface in any search; that is weak evidence of absence rather than proof, and this note does not assert the document does not exist. The home page and privacy policy were attempted directly on 5 September 2026 and returned bot detection, and the site's own terms and product pages are the rebuttal route.

Opus 2
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.

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 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.

Advocacy
DD on AI Governance and Bias DisclosureNo governance position published for a system whose output affects legal outcomes.

No governance position appears in any reachable material. Nothing names an accountable owner or function for model behaviour, describes pre-release evaluation, sets out principles or a policy, or claims a management system or certification, and nothing addresses uneven output. The gap has a specific shape on this architecture and is worth stating: a case memory layer that accumulates contested issues, strategy notes and evidentiary rulings across a matter, and that the company intends to make shareable across a team, is making judgements about what counts as case-critical context, and nothing reachable describes how that selection is governed or tested. The privacy policy, which is the one policy instrument reachable, addresses website data handling and does not touch model governance. The site refuses automated fetching, attempted on the home page and privacy policy on 5 September 2026; any responsible AI or governance page it publishes is the rebuttal route.

Opus 2
CC on AI Governance and Bias DisclosureResponsible AI principles are published without a mechanism, a testing regime, or anything a buyer could audit.

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.

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

Nothing reachable addresses retention, deletion or access for the material the platform holds, and the reason is established from a readable document rather than inferred from the block. The privacy policy describes secure storage with a database provider, industry standard security protocols and regular security reviews, retains personal data for as long as reasonably necessary with no period stated, and names service providers by category only as a database provider, an analytics provider and payment processing. It then scopes all of that to the Website and refers the handling of data uploaded to the AI platform to individual Customer Agreements. So the stewardship material that exists covers website visitors, and the material governing a firm's case files is unpublished by design. No retention period, deletion commitment, access control model, encryption specification, subprocessor list or incident practice for platform data was located, and no AI or model provider is named anywhere. A security or trust page did not surface in any search, which is weak evidence of absence rather than proof; the site was attempted directly on 5 September 2026 and refused automated fetching, and any such page is the rebuttal route.

Opus 2
CC on AI Safety and Data StewardshipA generic privacy policy covers the product without addressing what happens to documents and prompts after processing.

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.

Advocacy
DD on AI Liability and RecourseNothing published on who bears the loss when the system is wrong.

Nothing published addresses who bears the loss when the system is wrong, and on this record that is a design consequence rather than an omission. The privacy policy states that the handling of data uploaded to the AI platform is covered separately in individual Customer Agreements, so the governing instrument is negotiated per customer and is not published anywhere by construction. No indemnity, liability cap, warranty position, disclaimer of warranties, service level commitment or insurance statement is therefore readable before a buyer enters a sales process, and none appears in any reachable material. The band above does not fit, because it requires a standard limitation clause disclaiming the exposure the product creates and no such clause can be read. The exposure is not theoretical on a product whose drafting surface promises that what you draft is what you file. This row rests on the vendor's own statement about where platform terms live rather than on the fetch failure; publication of a standard-form agreement is the rebuttal route.

Opus 2
DD on AI Liability and RecourseNothing published on who bears the loss when the system is wrong.

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.

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

Connection is claimed by category and no counterparty is named. The reachable material states that the platform synthesises case-level context including from e-discovery and legal research platforms, which identifies the two classes of system a litigation team runs and names neither a product nor a vendor within them. The drafting environment is described as Microsoft Word-native and as the only native editor in legal AI rendering .docx with full fidelity, which is a file-format and editing claim rather than an integration into a document or matter management system, and the company positions it explicitly against Word plugins. Nothing reachable describes what data moves between the platform and any external system, in which direction, on what trigger, or what a firm must configure, and no API or developer documentation surfaced. This sits in the middle band because real connection classes are named rather than left as logos. The integrations material on the site could not be fetched on 5 September 2026 and is the rebuttal route.

Opus 2
CC on Practice Systems Integration DepthIntegrations are listed as logos or marked as coming, with no documentation an implementer could use.

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.

Advocacy
CC on Deployment Model and Data ResidencyCloud delivery is implied and neither the tenancy model nor the region is stated.

Cloud delivery is implied throughout and neither co-equal limb is stated in any reachable material. The product is described as a shared workspace a team logs into, with case memory persisting across interactions and intended to become shareable across a firm, and the privacy policy refers to secure storage with a database provider, so delivery over the internet through infrastructure the vendor arranges is not in doubt. Beyond that nothing is available. No statement says whether the platform is single or multi-tenant, no dedicated or isolated option is described, no region is named for storage or processing, no cloud provider is identified, and no residency commitment was located. The only geographic fact reachable is corporate, a San Francisco base, which locates the company rather than the data. No on-premises or self-hosted option is mentioned. Any security or enterprise page the site publishes could not be fetched on 5 September 2026 and is the rebuttal route.

Opus 2
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.

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.

Advocacy
DD on Security Certifications and Trust CenterNo independent security attestation located.

No independent security attestation appears in any reachable material. No SOC 2 of either type, no ISO certification, no penetration test summary, no named auditor, no examination period and no certification claim of any kind was located, and no trust centre or portal surfaced in search. What the privacy policy does offer is internal rather than independent: secure storage with a database provider, industry standard security protocols and regular security reviews, with no assessor, scope, date or report attached to any of it. The band above does not fit, because it describes badges displayed without scope or report, and no badge or certification mark was located to display. This row is graded on a documented absence in the material that is reachable, in the same way the AscentAI governance row was graded against an absence with an unrenderable trust portal named as the route to correct it. The home page and privacy policy were attempted directly on 5 September 2026 and returned bot detection; any certification or trust page the site publishes is the rebuttal route.

Opus 2
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.

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.

Advocacy
CC on Model Supply Chain DisclosureThe vendor refers to advanced or proprietary models without identifying what sits underneath.

The vendor names its own architecture and identifies nothing underneath it. Axiom is presented as a proprietary case memory architecture and the platform as context-first and AI-native, with three named generative surfaces built on it, so a distinct architecture is described rather than merely labelled. No model is named, no version, no provider and no hosting arrangement, and no commitment to notify customers of a change was located. The privacy policy comes closest and stops short in a way worth recording: it names service providers by category only, as a database provider for storage, an analytics provider and payment processing, and identifies no artificial intelligence or model provider at all, on a platform whose entire value proposition is model-driven. This is the middle band because the architecture is described; a buyer simply cannot learn from any reachable source whose model reads a firm's matter file. The site refuses automated fetching, attempted 5 September 2026, and any model or subprocessor page is the rebuttal route.

Opus 2
CC on Model Supply Chain DisclosureThe vendor refers to advanced or proprietary models without identifying what sits underneath.

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.

Advocacy
DD on Commercial TransparencyNo pricing information published at any level, including the unit of charge.

No pricing information appears in any reachable material, at any level, including the unit of charge. No rate, band, tier, term or implementation cost was located on the home page material recovered through indexing, in the vendor's own announcement, or in the privacy policy, and no pricing page surfaced in search. Nothing states whether the platform is charged per seat, per matter, per firm or on usage. One structural fact points the same way and is evidenced rather than assumed: the privacy policy records that platform data is governed by individual Customer Agreements, which indicates a negotiated commercial relationship rather than published rates. That is consistent with the stated buyer segment of mid-sized and Am Law firms. No pricing row is owed on this record. Any pricing page the site publishes could not be fetched on 5 September 2026 and is the rebuttal route.

Opus 2
DD on Commercial TransparencyNo pricing information published at any level, including the unit of charge.

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.

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

Coverage is claimed at a level of generality that does not tell a buyer whether their practice is served. The segment is stated with reasonable precision, mid-sized and Am Law firms running high-stakes litigation, and the scope within a matter is stated as complaint through trial, spanning parties, claims, timelines, procedural history, evidentiary rulings, strategy notes and work product. That describes a stage of work rather than a practice. No practice area is named anywhere reachable: nothing says whether the product suits commercial, employment, securities, product liability or class work, and the only signals in that direction are indirect, being a fictional demo matter involving price-fixing and market allocation and a leadership team drawn from securities and antitrust practice. No jurisdiction is stated, no firm size band beyond the segment, no matter type identified as unsuitable, and nothing on languages. Any solutions or industries pages the site publishes could not be fetched on 5 September 2026 and are the rebuttal route.

Opus 2
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.

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.

The 12 legal signals, side by side

Recorded rather than graded. These are the questions a practitioner has to answer before a tool touches a client matter, and the answers are taken from public material only.

Client Data in Training

Can material a lawyer puts into this product be used to train a model?

Advocacy
Never, in policy only

A clear commitment in a policy, with a scope gap that a buyer needs to see. The published privacy policy states that the company does not sell any personal information and does not use customer-uploaded content to train its AI systems. That is specific and unqualified on its face. The same document opens by scoping itself to information collected through the website, and states that the handling of data uploaded to the AI platform is covered separately in individual Customer Agreements.

A policy that governs the website, and then says the company does not train on customer-uploaded content, has not made that statement about the platform, and the instrument that governs the platform is negotiated per customer and therefore unpublished. The agreement search this value requires was run and produced no published agreement: none surfaced in any search, which is weak evidence of absence rather than proof.

No opt-out or configuration setting is described. The home page and privacy policy were attempted directly on 5 September 2026 and returned bot detection; a published customer agreement is the route to move this row.

Opus 2
Terms silent

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?

Advocacy
Not addressed

No reachable material states how long anything the platform handles is kept. The privacy policy addresses retention once, saying personal data is kept for as long as reasonably necessary to fulfill the purposes described or as required by law, with no period, and that provision governs website information rather than platform content, since the same policy refers the handling of uploaded data to individual Customer Agreements.

Nothing addresses how long documents, extracted facts, case memory, prompts or generated drafts persist, and no deletion or return-of-data commitment for matter material was located. The question has an unusual edge on this product, because case memory is designed to accumulate and persist across a matter and across staff turnover, with the company stating that knowledge never walks out the door, so a retention position is closer to the core of the product than it would be elsewhere.

The site refuses automated fetching, attempted on 5 September 2026; any terms, security or trust page it publishes is the rebuttal route.

Opus 2
Not addressed

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?

Advocacy
Not addressed

No reachable material addresses walls or separation, and this is the signal the product's own roadmap makes most pressing. The platform is matter-centric by design, maintaining a distinct case memory per matter, and the company has stated it is deploying shareable case memory so that context compounds across a team rather than evaporating, with new team members onboarding instantly into an existing matter. That is a deliberate widening of who sees a matter's accumulated context, and nothing published describes the boundary around it: no tenancy model, no permission or role model, no matter-level access control, and nothing addressing screened matters or a lateral hire arriving with conflicts.

Nothing addresses separation between firms either. The privacy policy, the only policy instrument reachable, governs website data and does not touch the question. The site was attempted directly on 5 September 2026 and returned bot detection; any security or product documentation page is the rebuttal route.

Opus 2
Own model, documented

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?

Advocacy
Not addressed

No reachable term or policy addresses third party requests for customer data. The privacy policy, which governs website information rather than platform content, describes using information to meet legal requirements without setting out what happens when a subpoena, court order or government demand reaches material held in the platform, and it commits to no notice, reserves no discretion over notice and publishes no transparency report.

The confidentiality section of a master agreement is where this evidence normally sits, and no such agreement is published: the privacy policy records that platform data is governed by individual Customer Agreements, which are negotiated per customer. The gap is pointed on a product holding the accumulated work product and strategy notes of contested matters, where a demand for the case memory itself is a foreseeable event.

The site refuses automated fetching, attempted on the home page and privacy policy on 5 September 2026; a published standard-form agreement is the rebuttal route.

Opus 2
Not addressed

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?

Advocacy
Not addressed

No corpus stands behind the product's output, and the vendor says so as a design claim rather than leaving it to inference. Axiom is described as building a dynamic, evolving intelligence layer that accumulates the facts, timelines, entities and contested issues of the matter as it develops, expressly rather than querying a generic legal database. The material the models work on is therefore the case file and the team's own work, so there is no case law database, statutory source, publisher or licensed reference set behind an answer.

One qualification is recorded because it points the other way and is unresolved: the vendor's own announcement states that the platform synthesises case-level context including from e-discovery and legal research platforms, which implies material arriving from a research product without identifying it or addressing any license attaching to it. Recorded as the honest absence rather than a finding against the vendor. Searched the reachable home page material, the privacy policy and the December 2025 announcement on 5 September 2026.

Opus 2
Not addressed

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. 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?

Advocacy
Not addressed

Nothing reachable addresses checking authority for subsequent history. The product's citations are described as verified inside the drafting surface, without any statement of what verification consists of, and the architecture claim is that grounding comes from the matter's own record rather than a legal database, so primary law is not the product's own corpus. The tension worth recording is that the vendor also states the platform synthesises context from legal research platforms and that its drafting surface produces filings, so authority does pass through the system even though nothing describes a citator, a treatment signal or a currency check applied to it.

That is a gap on a product whose output is intended to be filed. Searched the reachable home page material, the privacy policy and the vendor's December 2025 announcement on 5 September 2026; the site refuses automated fetching and its product pages are the rebuttal route.

Opus 2
Not addressed

Not applicable to this product class, and neither credited nor penalized. 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 Behavior

What does the product do when the answer is not in the corpus?

Advocacy
Not addressed

No reachable material describes what the system does when it cannot ground an output. There is no abstention path, no no-answer state, no confidence indicator and nothing on behavior where the case memory holds conflicting accounts, which is a routine condition in contested litigation and one the platform expressly accumulates, listing contested issues among what it tracks. The company's nearest statement is about sequencing rather than uncertainty, that the system learns about the case before it does the work and is not permitted to skip that step, which describes when the model acts rather than how it behaves when the record is thin or inconsistent.

Nothing describes what a user sees when an assertion cannot be supported from the matter. The site was attempted directly on 5 September 2026 and returned bot detection; its product documentation is the rebuttal route.

Opus 2
Not addressed

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 behavior where the documents do not support the question asked. The vendor's answer to uncertainty is architectural rather than signaled, 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 judgment 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 addressing fabricated or hallucinated legal citations in output from this product?

Advocacy
None located

The AI Hallucination Cases database maintained by Damien Charlotin was searched on 5 September 2026 on the product name Advocacy and on the domain advocacy.ai. No court order, opinion or disciplinary record naming the product or the company was located. One limitation on the search is recorded rather than glossed: advocacy is a common word in judicial writing, so a name-based search of this tracker is less discriminating for this vendor than for a distinctive product name, and a negative result carries correspondingly less weight. This records the state of the public record on that date and is not a finding about the product.

Opus 2
None located

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?

Advocacy
Not addressed

No reachable material engages with bar or ethics guidance at any level. No bar association, rule of professional conduct, ethics opinion or jurisdiction-specific guidance is named or referred to in general terms, and nothing addresses a firm's obligations when a drafting surface produces material intended to be filed. Nor is there any adjacent statement of the kind that usually sits nearby, since no advice disclaimer or statement that the company is not a law firm was located either.

That is notable on a vendor whose founding team is drawn from practice, with a former securities litigator as chief executive and a former antitrust lawyer as chief operating officer, and whose positioning rests on being built by litigators. The terms of service, where such material would ordinarily sit, did not surface in any search, which is weak evidence of absence rather than proof. The site refuses automated fetching, attempted 5 September 2026, and is the rebuttal route.

Opus 2
Not addressed

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?

Advocacy
Savings claims only

Efficiency is claimed in the vendor's own framing and nothing addresses the billing consequence. The company describes the problem it exists to solve as outcomes driven by bandwidth rather than talent, states that when context compounds across a team a firm is not just more efficient but operating at a strategic level, and offers instant onboarding for new team members so that knowledge never walks out the door. Those are claims about time and leverage inside a firm.

None of them reaches this signal: no per-matter record of AI-assisted work is described as available, no guidance on fee or disclosure treatment is published, and nothing addresses what a client is told when case analysis and drafting were produced through accumulated machine memory. The direction is worth recording, because the buyers are Am Law and mid-sized firms billing hourly, so compressed associate time on research and drafting is the exact place where the disclosure question bites, and the reachable material is silent on it.

Opus 2
Savings claims only

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 utilization, 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?

Advocacy
Not addressed

No reachable material would let a firm answer a client's AI clause. The privacy policy names service providers by category only, as a database provider for data storage, an analytics provider for website analysis and financial service providers for payment processing, and identifies no artificial intelligence or model provider at all on a platform whose value is entirely model-driven. No subprocessor register, data processing addendum, consent pack or notification material was located, and no route to request any of it is offered.

The one instrument that would carry this material for a customer is the individual Customer Agreement the privacy policy defers to, which is negotiated per customer and unpublished, so nothing forwardable exists that a firm could send a client without first entering a commercial relationship. The site was attempted directly on 5 September 2026 and returned bot detection; a published subprocessor list or DPA is the rebuttal route.

Opus 2
Not addressed

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?

Advocacy
Not addressed

No reachable material addresses producing a record of AI-assisted work, and one adjacent feature is recorded so a reader sees it was weighed. The platform keeps a visible activity history against docket entries, showing queries, reviews and notes with dates and the people responsible, and the company states that every query, review and note enriches the matter memory. That is a record of what the team did inside the workspace, not of what the model produced: nothing identifies a model or version against an output, nothing marks generated text as generated once it reaches a draft, and no export is described for producing any of it to a court, a client or an opponent.

No disclosure template or guidance was located. The gap matters here more than on most records because the drafting surface is promoted on the basis that what you draft is what you file, so the output is destined for a tribunal by design. The site refuses automated fetching, attempted 5 September 2026, and its product pages are the rebuttal route.

Opus 2
Not addressed

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.

What neither one publishes

The questions both sides leave open

Derived from the records above rather than written, so it cannot favor either vendor. Take these into both conversations and ask each side the same question.

Axes where neither earns credit
  • UPL and Professional Responsibility Posture
  • AI Liability and Recourse
  • Commercial Transparency
Signals neither addresses in public material
  • Prompt and Output Retention
  • Third Party Request and Subpoena Notice
  • Primary Law Corpus Provenance
  • Good Law Verification
  • Refusal and Uncertainty Behavior
  • Bar Guidance Alignment
  • Outside Counsel Guideline Readiness
  • Court Disclosure Support

Which one fits

Choose Advocacy if

  • You want AI that already knows the matter when you ask. Advocacy's Axiom accumulates parties, claims, timelines, procedural history, evidentiary rulings and strategy notes as the team works, so each query and draft builds on the case rather than starting from scratch, and an associate joining mid discovery inherits it.
  • You draft in Word and do not want a sidebar plugin. Advocacy's AI Editor is a Word native drafting environment that puts research beside the draft, streams generation onto the page, and states that it verifies citations and formats footnotes.
  • You want a written statement against training on your uploads. Advocacy's privacy policy states that it does not use customer uploaded content to train its AI systems. The policy covers its website and refers platform data to individual customer agreements, so ask for the same term in yours.

Choose Opus 2 if

  • Your matter goes to a hearing or an arbitration. Opus 2 combines a shared electronic bundle, real time transcription and evidence presentation for in person, remote and hybrid hearings, its AI flags inconsistencies between live testimony and the bundle, and its services have supported the Grenfell Tower and Manchester Arena inquiries.
  • You want the AI kept out of the record until a lawyer decides. Opus 2's published principles state that a lawyer must apply their own judgment before any AI output is saved permanently and that data never leaves a client's instance or crosses between two cases in it, and chronology events are surfaced for a lawyer to assemble rather than generated automatically.
  • Your security team needs certification and a choice of jurisdiction. Opus 2 names ISO/IEC 27001:2022 and Cyber Essentials Plus with CREST accredited penetration testing, and hosts a client's solution and data in the location that best fits its needs across its EMEA, North America and Asia Pacific operations.

In summary

Advocacy

Advocacy is a litigation workspace from San Francisco built around case memory, sold to mid sized and Am Law litigation practices and founded by litigators with engineers from Meta, Dropbox and PayPal. Its proprietary Axiom architecture accumulates a matter's facts, timelines, entities and contested issues as the team works, feeding a conversational assistant, a Word native AI Editor and a structured extraction tool; version 2.0 was released in December 2025. The AI Legal Index grades it in the top two bands on one of fifteen capability axes, AI centrality, where it holds an A. Its privacy policy states that customer uploaded content does not train its AI. As of 5 September 2026 the index located no customer agreement, no named customer, no security certification and no pricing.

Source: AI Legal Index, 2026

Opus 2

Opus 2, founded in 2008 and based in London, runs commercial disputes from instruction to the hearing room: case preparation, hearings with shared electronic bundles and evidence presentation, legal transcripts, case administration for arbitral institutions, and a chambers product. Its AI, Opus 2 Ingenuity, summarizes documents, extracts entities, answers questions scoped to a matter and flags inconsistencies in live testimony. The AI Legal Index grades it in the top two bands on six of fifteen capability axes. It names ISO/IEC 27001:2022, publishes a rule that a lawyer must approve AI output before it is saved, and names customers including Linklaters, Dorsey & Whitney and SIAC, Singapore's international arbitration institution. As of 31 August 2026 the index located no customer agreement, no training position and no pricing.

Source: AI Legal Index, 2026

Questions buyers ask

Advocacy vs Opus 2: which is better for litigation teams?

On published evidence Opus 2 sits in the top two bands on six of fifteen AI Legal Index capability axes and Advocacy on one of fifteen. Opus 2 publishes more a buyer can check, from named firms and arbitral institutions to certifications and a rule that lawyers approve AI output before it is saved, and it covers hearings. Advocacy is the more AI centered product, built on a case memory that grows with the matter. Neither publishes a customer agreement or a price.

Does Advocacy train AI on client documents?

Advocacy's privacy policy states that it does not use customer uploaded content to train its AI systems. The same policy says it covers information collected through the website and that the handling of data uploaded to the platform is covered by individual customer agreements, which are not published. A firm should ask for the training term to appear in its own agreement. Opus 2 publishes no position on training either way. Graded by AI Legal Index against 15 capability axes and 12 legal signals, including privilege handling and citation accuracy, from each vendor's own published materials, verified September 25, 2026. No vendor pays for placement.

Does Opus 2 use AI in live hearings?

Yes. In Opus 2's hearing product, as testimony is transcribed in real time the AI compares it with the documents in the hearing bundle and flags inconsistencies, and teams can run their own prompts against live evidence. Opus 2 publishes no guidance on disclosing that use to a tribunal or the other side, names no model behind it, and describes no record of which AI outputs counsel accepted. Graded by AI Legal Index against 15 capability axes and 12 legal signals, including privilege handling and citation accuracy, from each vendor's own published materials, verified September 25, 2026. No vendor pays for placement.

Where do Advocacy and Opus 2 host data?

Opus 2 states that it hosts a client's solution and data in the location that best fits the client's needs, across separate EMEA, North America and Asia Pacific operations, with data separated by firewalls, encrypted volumes and ownership tags. It does not list its regions or name a cloud provider. Advocacy names no region, cloud provider or tenancy model in any material the index could read. Graded by AI Legal Index against 15 capability axes and 12 legal signals, including privilege handling and citation accuracy, from each vendor's own published materials, verified September 25, 2026. No vendor pays for placement.

What do Advocacy and Opus 2 both leave unpublished?

The contract and the model. Neither publishes a customer agreement, so neither states a liability position, a retention period or a position on legal advice that a firm can read before signing. Neither names the model behind its AI, publishes a price, or measures how accurate its answers are. Neither says what its AI does when the record does not support an answer, and neither addresses bar guidance on AI use. Graded by AI Legal Index against 15 capability axes and 12 legal signals, including privilege handling and citation accuracy, from each vendor's own published materials, verified September 25, 2026. No vendor pays for placement.

Disclosure

Two limits on this page. Advocacy's website refuses automated retrieval, so its record was built from search indexed material and its privacy policy; its low grades record what could be read, not a finding that its platform lacks the controls, and its platform terms sit in customer agreements that are not published. Opus 2 publishes no customer agreement either, and its own pages name two different versions of its ISO 27001 certification, 2013 on one page and 2022 on another. Advocacy was verified on 5 September 2026 and Opus 2 on 31 August 2026. Neither vendor reviewed this page.

Neither vendor paid for inclusion, placement or a grade, and neither reviewed this page before it published. Everything above comes from public material on the dates shown. How the index grades.

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 303 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
September 24, 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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