Advocacy
Advocacy is a litigation workspace built around case memory. Its premise is that a general legal AI answers each question from scratch, while a litigation team needs a system that already knows the matter, so the platform maintains what it calls Axiom, a proprietary architecture that accumulates the facts, timelines, entities and contested issues of a case as it develops rather than querying a generic legal database. That memory spans parties, claims, procedural history, evidentiary rulings, strategy notes and work product, and it is fed by everything the team does: each query, review and note enriches it, so an associate joining mid-discovery inherits the matter rather than rebuilding it. Three surfaces sit on top. Associate is the conversational assistant that answers questions about the case. The AI Editor is a Microsoft Word-native drafting environment, which the company positions against sidebar plugins on the ground that a plugin is bolted onto someone else's product, offering research beside the draft, generation streaming onto the page, citations verified and footnotes formatted, in an editor it says renders .docx with full fidelity. Extract pulls structured data from documents at scale. Version 2.0, released in December 2025, moved case memory out of the assistant and across all three, and the company has said shareable case memory across a team is what it is building next. It is sold to mid-sized and Am Law litigation practices and was founded by litigators alongside engineers from Meta, Dropbox and PayPal, with former securities litigator Téo Doremus as chief executive. Advocacy is based in San Francisco.
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.
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.
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.
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.
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 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.
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.
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.
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.
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.
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 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.
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.
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.
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.
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.
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 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.
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.
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.
Deployment Model and Data Residency
Where the software runs and where the data sits. Multi tenant cloud, single tenant, private deployment, on premises, and whether region of residence is a published option or an enterprise conversation.
Cloud delivery is implied throughout and 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.
Security Certifications and Trust Center
Independent attestation a buyer can pull without a sales call: SOC 2, ISO 27001, penetration test summaries, a trust center with current reports and named scope rather than a badge image.
No independent security attestation 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.
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 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.
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 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.
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 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.
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?
A public policy or trust page states no training on customer content, with no matching term located in the published agreement.
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.
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.
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 fulfil 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.
Ethical Walls and Matter Segregation
Does retrieval respect the firm’s ethical walls, or can the model read across them?
No located public material addresses walls or matter level segregation.
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.
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.
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.
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.
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 licence 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.
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.
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.
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.
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 behaviour 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.
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.
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.
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 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.
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, and the product sits inside a fee relationship between a lawyer and a client where those savings would change the bill.
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.
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.
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.
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.
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.