XLSCOUT
XLSCOUT is a large language model platform for patent work, sold to IP departments, patent attorneys and R&D teams as a set of nine separately marketed modules. Novelty Checker LLM runs first-pass prior art searches and returns automated novelty reports with the invention's key features mapped against the references found. Invalidator LLM does the same for invalidity, ranking the fifty most relevant references against the claims. ClaimChart LLM generates claim charts for infringement analysis and identifies potential licensees and overlapping products, PatDigger LLM works across a portfolio to surface licensing opportunities, and Standigger LLM maps standard-essential patents for essentiality assessment. Drafting LLM produces patent drafts with an in-product assistant for revisions and adapts to a user's writing style, Ideacue generates and scores invention ideas for brainstorming and continuation strategy, and TechScaper LLM monitors technology areas and competitors with taxonomy-based categorisation and multilingual coverage in English, Japanese, Chinese and German. An AI-assisted source code review service sits alongside them. The retrieval underneath is built on ParaEmbed, an embedding model XLSCOUT fine-tuned on patent and technology data and released openly on Hugging Face, combined with in-house RAG models and Microsoft Azure endpoints. Customers choose whether their data is stored on United States or European servers, and the master agreement undertakes that customer inputs and outputs are not used to train, retain or improve XLSCOUT's models or those of its suppliers. The company holds an AICPA SOC 2 Type II audit report from Prescient Assurance, contracts through XLSCOUT XLPAT INC in Delaware, and runs from a Toronto headquarters with further offices in the United States, Germany, India and Japan.
Capability grades
All 15 axes, graded from public sources on the date shown. Hover a grade to see what the letter means on that axis.
AI Centrality
How much of the product is actually AI. Whether the machine learning is the mechanism the buyer is paying for or a feature layered onto conventional software, and whether the vendor is specific about which is which.
The models are the entire product and the naming says so: seven of the nine modules carry LLM in the product name. Novelty Checker LLM, Invalidator LLM, ClaimChart LLM, PatDigger LLM, Standigger LLM, TechScaper LLM and Drafting LLM each exist only as a generative or retrieval-model application, and Ideacue generates invention concepts outright. Underneath them sits ParaEmbed, an embedding model XLSCOUT fine-tuned on patent and technology data and published openly on Hugging Face, combined with in-house RAG models and Azure endpoints. There is no document management system, no docketing, no renewals engine and no services layer beneath the AI that would survive its removal; strip the models out and nothing remains that a buyer could use. This is the second A on this axis in the ip-and-patents lane, alongside IPRally, against three incumbents at C.
Citation Accuracy and Hallucination Disclosure
Whether the vendor publishes measured accuracy on citations and assertions, grounds output to primary sources, and says plainly what its system does when it does not know. Legal has a documented public record of fabricated citations reaching filed briefs, so an untested claim of accuracy is not evidence.
Grounding is documented, the retrieval method is described, and figures are published without a test set behind them. Output maps to real patent documents a reader can open: novelty reports carry key feature mappings against the references, Invalidator LLM performs ParaEmbed-based contextual mapping of prior art against the claims and surfaces the top fifty most relevant references, and ClaimChart LLM maps product features to claims. The retrieval mechanism is named rather than gestured at, and unusually the underlying embedding model has been open-sourced on Hugging Face, so an outsider can evaluate part of the stack directly, which is more than any other vendor in this lane offers. Four numbers are published, including a candid 60 per cent accuracy figure for PatDigger LLM in identifying top licensing opportunities and a 95 per cent noise reduction claim for TechScaper. None carries a described test set, a method or a date. The master agreement is franker than the marketing, defining automated patentability and invalidity searches as first-pass results delivered on an as-is-where-is basis that shall in no manner be a comprehensive or full search, and clause 4.5 disclaims any warranty as to accuracy, completeness or correctness.
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.
Automation is the entire pitch and no control structure is published to sit against it. The modules are described as automated drafting, automated novelty reports and automated invalidation reports, with Ideacue accelerating ideation tenfold, and nothing located states what runs unattended, where a reviewer enters, what the system does at a low-confidence threshold, or what happens after it is wrong. The nearest thing to a control is contractual rather than functional: the master agreement defines the search outputs as a first pass that is in no manner comprehensive, which tells a buyer the work is unfinished without describing any mechanism inside the product for finishing it. One module names a human step, the AI-assisted source code review being described as expert-validated, and that is a service design rather than a published oversight model for the platform. Searched the home page, the security and privacy controls page, the SOC 2 page, the master agreement and the module descriptions in the site navigation on 1 September 2026. This matters because Drafting LLM produces patent applications that a practitioner will file.
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.
Logos and unattributed testimonials stand in for evidence, and one contract clause makes that worth reading carefully. Four customer logos appear, Mitsubishi, NTT, IIT Madras and IDAIR, against a claim of more than 200 clients worldwide with no basis stated. Five testimonials are published and every one is anonymous, attributed only by role and sector: a patent attorney at a US law firm, an IP manager at a machinery manufacturer, a senior IP manager in industrial automation, a senior innovation manager at an engineering company and a partner at a US law firm. No organisation is named against any quote, no quote carries a date, and the published figures for time saved and efficiency gained are product claims rather than measured customer outcomes. Clause 10.5 of the master agreement is relevant to how much weight this evidence carries: customers agree in advance to participate in marketing activities including writing references and case studies, speaking at XLSCOUT events and appearing in webinars. A case studies library exists in the navigation and was not opened on 1 September 2026, so a named dated outcome was neither found nor excluded.
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 core commitments are contractual rather than promotional, which is rare in this lane, and two limbs are still missing. Clause 6.4 of the master agreement undertakes that customer data is not used to train, retain or improve the models of XLSCOUT or of its third-party suppliers, and clause 6.3 confirms the customer retains all right, title and interest in its data. Clause 7 is a mutual confidentiality regime with a defined category of Confidential Information and a restriction on disclosure to employees, contractors and third-party suppliers who are themselves bound. Tenant separation is documented on the SOC 2 page: each customer environment sits in a dedicated trust zone described as a patented isolation approach, customer data is separated using unique encryption keys, and role-based access with least privilege is applied. What is absent is segregation below the tenant, so nothing addresses walls between users, teams or matters inside one account, which matters because the published testimonials come from US law firms. Privilege and work product are never mentioned on any surface read, and the retention picture is genuinely muddled, as set out on the retention signal.
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.
A real limit on what the product is sits in the agreement rather than in a footer, and the professional dimension around it is untouched. The master agreement defines Automated Patentability search and Automated Invalidity as first-pass results obtained by running the proprietary algorithm on the database on an as-is-where-is basis, which shall in no manner be a comprehensive or a full search. That is a contractual statement of what the tool does not do, binding on the vendor and readable before signing, and it is a more concrete scope limit than most vendors publish anywhere. Clause 4.5 adds an express disclaimer of any warranty as to accuracy, completeness or correctness. Against that, nothing located states that XLSCOUT is not a law firm or does not provide legal advice, no jurisdiction limit is named, and there is no engagement at all with a practitioner's supervision or competence duties. The gap is sharpest on Drafting LLM, which produces patent applications, and on Ideacue, which is sold to R&D and innovation teams who are not practitioners.
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 of any kind is published for a platform whose entire output is model-generated. There is no responsible AI page, no AI policy, no ethics statement, no ISO 42001 or EU AI Act position, no accountable owner named, no pre-release testing regime for model behaviour, and no disclosure about uneven output across technology areas or document types. The full site navigation was read on 1 September 2026 and lists every page the company publishes, covering the nine modules, about, board members, team, advisors, partners, MoUs, careers, pricing, a Prevention of Sexual Harassment policy, two security pages, blogs, press releases, events, webinars, case studies, white papers, contact, FAQs, terms of service, privacy policy, content security policy, research and AI collaborations, and data coverage. **No governance or responsible AI entry exists anywhere in it.** The two nearest items are not governance: a founder's video on global AI governance at the United Nations is thought leadership about the field rather than a statement about this product, and the research collaborations with Mitacs, Hugging Face and four universities are development partnerships. Clause 6.4's no-training undertaking is a data commitment and is credited on the confidentiality row.
AI Safety and Data Stewardship
Retention, deletion, access control, and what happens to prompts and documents after they are processed. Whether the vendor states its subprocessors and its incident practice, or leaves the buyer to assume.
Most of the ground is covered with real specificity and the two gaps this band names are both present. What is published: encryption at rest and in transit with unique per-customer keys, role-based access control with least privilege and periodic review, third-party penetration testing by external firms alongside internal engineers, static and dynamic application security testing including open source libraries, OWASP Top 10 development practice, background checks and signed NDAs for all employees and contractors, continuous platform monitoring, and a customer-facing statement that data can be deleted at any time. The SOC 2 Type II audit provides independent assurance over that control set. What is missing is a named subprocessor list, since the master agreement discloses at clause 6.2 that inputs are shared with trusted third-party suppliers without naming any of them and the security page names AWS and Microsoft Azure followed by the phrase and others; and any incident or breach practice, with nothing located stating notification timing, contents or route. No retention period is published for customer content, and the Content Security Policy, which the agreement makes the governing document for storage, was not opened on 1 September 2026.
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.
This is the only real published liability position in the ip-and-patents lane and it is more complete than most of the corpus. The master agreement publishes an indemnity with named scope: clause 8.1 has XLSCOUT defend and indemnify the customer against third-party claims arising from breach of the warranties at 4.1 and 4.3, which cover its right to grant the licences and its authority to contract, and clause 8.3 sets out the remedy path if an injunction is sought, being procure, modify or terminate with a pro-rata refund. Caps are stated and differentiated at clause 5.2, limited to the fees paid for the service in question, or for matters unrelated to a service the aggregate fees paid in the preceding twelve months. Carve-outs from the cap are named at clause 5.3, covering the indemnity obligations and the customer's IP infringement. Mutual exclusion of indirect and consequential loss sits at 5.1. What stops this reaching the top band is the subject the axis actually asks about: the indemnity covers title and authority, not output, clause 4.5 expressly disclaims any warranty as to the accuracy or correctness of the licensed materials, and no insurance position is published. A buyer therefore knows precisely who bears the loss when a draft or a search is wrong, and the answer is the buyer.
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.
No integration into the systems legal work already lives in was located, and the product stands alone. The complete site navigation was read on 1 September 2026 and contains no integrations page, no API or developer entry, no documentation index and no partner integration listing; the Authorized Partners page is a reseller and channel listing by its title rather than a technical one. Nothing names a connection to an IP management or docketing system, a document management system such as iManage or NetDocuments, a patent office filing system, Word or Outlook. The modules are described as a connected suite, but that is integration among XLSCOUT's own components rather than into a firm's estate, and the master agreement's references to a Delivery Method and Documentation are contractual placeholders that describe no interface. A customer moves work into the platform and exports results out of it. Checked the home page, the AI-powered modules entry, the security pages, the master agreement and the full navigation.
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.
The tenancy model and the residency choice are both stated, which is more than the rest of this lane manages, and the processing question is left open. The SOC 2 page describes a modern multi-tenant cloud architecture with complete customer isolation, each customer environment held in a dedicated trust zone under what the company calls a patented isolation approach, with unique encryption keys separating customers from each other and from XLSCOUT itself. The security page states that clients can choose to have their data stored on either United States or European servers and names AWS and Microsoft Azure among the providers relied on, followed by the phrase and others, which leaves the list open. The limb that holds this below the top band is the one this band reserves: residency is offered for storage without processing location being addressed separately. That distinction has weight here because the same page states that inference runs partly through Microsoft Azure endpoints, and nothing says whether a customer who selects EU storage also gets EU inference.
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.
The attestation is real, specific and independently named, and it is not obtainable. XLSCOUT publishes a dedicated page stating that it completed the AICPA Service Organization Control 2 Type II audit and naming the auditor, Prescient Assurance, described as a registered public accounting firm in the US and Canada, with the outcome given as an unqualified opinion. Naming the auditor puts this above most of the corpus, where a badge or a bare standard is the norm. The page also details the control areas the audit covers across personnel, development, testing and cloud security. What is absent is access and currency: no examination period or report date appears anywhere, so a buyer in 2026 cannot tell whether the attestation is live, and no route to request the report, no portal and no questionnaire pack was located. The related ISO 27001 claim on the security page is honestly qualified with an asterisk reading that it applies to the partners rather than to XLSCOUT, which is a disclosure most vendors would not volunteer. Note also that the SOC 2 page carries boilerplate about digital identity offerings and managing billions of digital identities that does not describe this business.
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 architecture is described and the third-party model is the piece left unnamed. The security page states that XLSCOUT uses a combination of its own proprietary custom fine-tuned LLMs, embedding models and RAG models together with Microsoft Azure endpoints to draft patents, identify infringements and search prior art, which distinguishes what it built from what it calls out to. Its own component is not merely named but published: ParaEmbed, an embedding model fine-tuned on patent and technology data, was open-sourced on Hugging Face and reached a second version, so a customer can inspect the actual retrieval model rather than take a description of it, which no other vendor in this pull offers. Two things hold it below the top band. The generative model reached through the Azure endpoints is never identified, so the question of whose model reads an unfiled invention disclosure is unanswered, and naming the cloud is infrastructure rather than model identification. And no commitment to notify customers when the model set changes was located on any surface read on 1 September 2026.
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.
A page titled XLSCOUT Pricing exists and contains no pricing information at any level. It offers the line that pricing models are flexible and tailored to diverse needs, a free trial request, a demo booking, and a lead capture form whose own text says that for detailed pricing information the reader should fill out the form and the sales team will provide details tailored to the organisation. No rate, no band, no floor, no currency, no unit of charge, no tier or package names and no statement of what implementation adds appear on it. The modules are individually named across the site and are presumably licensed separately, but no packaging, bundling or per-module commercial structure is published, so the shape of the offer is not visible either. This is a stronger finding than an absent pricing page, because the vendor has built the page and used it solely as a form. Checked the pricing page, the home page, the master agreement, whose fees are deferred entirely to an unpublished Cover Sheet at Annexure 1, and the full site navigation on 1 September 2026.
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.
Practice coverage is documented module by module with real precision, and segment coverage is thin by comparison. Nine distinct workflows are named and separately described: prior art and novelty search, invalidity search, infringement analysis through claim charts, portfolio licensing and monetisation, standard-essential patent essentiality and standard mapping, technology and competitor monitoring, patent drafting, ideation and continuation strategy, and source code review. Two analytics dashboards extend that into sustainability, mapping Sustainable Development Goals and green transformation technologies to the patent literature. Language coverage is stated as English, Japanese, Chinese and German, and the company operates from five countries. Who it is for is answered in a single FAQ sentence listing patent attorneys, legal teams, inventors, research and development departments and businesses protecting intellectual property, with no segment pages behind it and nothing on firm size, portfolio size or in-house versus firm fit. The one boundary that is stated is a capability limit rather than a coverage limit, the agreement's first-pass definition of what the searches are not.
Legal Signals
What each signal meansA signal records what public sources say on the date shown. It is not a grade and it is not a recommendation. Where a signal reads Not addressed, it means the index did not locate the material in public sources on that date, which is a statement about disclosure rather than about the product.
Client Data in Training
Can material a lawyer puts into this product be used to train a model?
The published terms prohibit training on customer content. Not a policy page, the agreement.
The prohibition is in the master agreement rather than on a policy page, and it reaches the suppliers as well as the vendor. Clause 6.4 of the XLSCOUT General Services Terms and Conditions undertakes that the data, defined earlier in clause 6.2 as including both input and generated output, is not used to train, retain or improve the models of XLSCOUT or the third-party suppliers, and adds that any sharing is done under confidentiality obligations. The marketing carries the same position, with the security page stating that XLSCOUT does not use customer data to train its LLMs and the FAQ saying the company does not train its AI models on customer-provided inputs, so the two surfaces agree here. Read alongside clause 6.1, which grants XLSCOUT a licence to use inputs and outputs exclusively to perform the services, the permitted purpose is service delivery and training is expressly outside it.
Prompt and Output Retention
How long does the product keep what a lawyer typed, and can that be set to zero?
Retention is acknowledged in public materials with no stated period.
The marketing and the agreement point in different directions and the agreement governs. The security page runs a heading reading Zero Data Retention or Training and states that the model does not retain any user data and that the customer can delete data at any time. The master agreement grants XLSCOUT a worldwide sub-licensable licence at clause 6.1 to collect, process, store and otherwise use the customer's inputs and the outputs generated from them, and clause 6.2 spells out that this includes the right to store that data as per the content security policy. Both can be true, since a model not retaining a prompt is a different thing from a platform storing a project, but a buyer reading the headline would not expect the storage licence. No retention period is stated in either place. The Content Security Policy, which the agreement makes the governing document for storage, was not opened on 1 September 2026 and is where a period would sit if one is published.
Ethical Walls and Matter Segregation
Does retrieval respect the firm’s ethical walls, or can the model read across them?
The product maintains its own permission model, documented, requiring the firm to keep it aligned.
XLSCOUT documents its own permission and isolation model rather than inheriting one, and it operates at the tenant rather than the matter. The SOC 2 page states that all customer cloud environments and data are isolated using a patented isolation approach with each customer environment held in a dedicated trust zone to prevent accidental or malicious co-mingling, that each customer's data is separated from other customers and from XLSCOUT using unique encryption keys, and that role-based access controls and least privilege are applied with access reviewed and revoked as needed. The product does not index a firm's own document estate, so the classic wall question bites less here than on a document-based tool. What is not addressed is separation inside a single customer account, between users, teams or matters, which is the level a law firm would need and the published testimonials include two US law firms.
Third Party Request and Subpoena Notice
If someone subpoenas the vendor for a firm’s data, does the firm hear about it first?
Terms commit to notice where lawfully permitted. No transparency report located.
The commitment sits where this signal's evidence usually lives, in the confidentiality section of the master agreement rather than in a privacy policy. Clause 7.3 provides that where the receiving party becomes legally compelled or is requested by a regulatory body to disclose confidential information, it will give the disclosing party prompt written notice unless legally prohibited, expressly so that the disclosing party can seek an order preventing disclosure or another remedy, with a commitment to cooperate if such an order is sought. If no order is obtained, disclosure is limited to the portion legally required in the reasonable opinion of counsel. The obligation is mutual, and because customer inputs and outputs fall within the defined Confidential Information it reaches the material a firm would care about rather than only personal data. No transparency report was located on 1 September 2026.
Primary Law Corpus Provenance
Where does the law in this product come from, and does the vendor have the right to use it?
Coverage is described by jurisdiction with no identification of the underlying corpus.
Coverage is described by scale and geography with no identification of the underlying sources. The home page states patents from more than 100 countries alongside non-patent literature described as bibliographic and a jurisdiction count, though the numerals themselves render as script-driven counters that did not resolve on fetch. No database, aggregator or patent office is named as the source of any of it, no licence or rights basis is stated, and no update cadence is published. What is identified is the training rather than the corpus: ParaEmbed is described as an embedding model fine-tuned on patent and technology data and is published on Hugging Face. A Data Coverage page exists in the site navigation and was not opened on 1 September 2026, which is where source identification would sit if it is published anywhere.
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.
No citator applies and the row is recorded rather than skipped. The platform retrieves and analyses patent documents and non-patent literature; it does not return legal authority whose subsequent history could be checked, so there is no treatment signal to surface and no good-law question in the sense this signal asks. The nearest analogue would be the legal status of a retrieved patent, and nothing located states whether status or validity events are surfaced against references in a novelty or invalidity report. Searched the module descriptions, the home page, the FAQs and the master agreement on 1 September 2026.
Refusal and Uncertainty Behaviour
What does the product do when the answer is not in the corpus?
No located public material addresses what the product does when it cannot ground an answer.
Nothing located describes what any module does when it cannot support a result. Relevance ranking exists, with Invalidator LLM surfacing the top fifty most relevant references, but ranking is inherent to retrieval and no confidence or grounding score is exposed to the user as a signal, and no abstention or no-answer path is documented for the drafting, ideation or claim-charting modules. The FAQ acknowledges the general point, saying that no system can guarantee 100 per cent accuracy, and the master agreement defines the search outputs as first-pass and as-is-where-is, but both place the burden on the reader rather than describing a behaviour of the system. Searched the home page, the nine module entries in the navigation, the FAQs, the security pages and the master agreement on 1 September 2026.
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.
Searched the AI Hallucination Cases database maintained by Damien Charlotin at HEC Paris, together with 2026 sanctions trackers and trade coverage, on 1 September 2026, on the company name and on the module names including Novelty Checker LLM and Drafting LLM. No court order, opinion or disciplinary record naming XLSCOUT or any of its modules was located. This is a statement about the public record rather than a finding about the product. The failure mode is a partial fit: the search modules return real patent documents from an index rather than generating citations, but Drafting LLM produces patent application text and ClaimChart LLM produces claim charts, both of which can reach a patent office or a dispute.
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 engagement with professional responsibility guidance of any kind was located. Nothing addresses ABA Formal Opinion 512, USPTO practitioner guidance on artificial intelligence, EPO or other national patent attorney conduct rules, or any state bar opinion, and unlike some vendors in this lane there is not even a general statement that the user's professional obligations survive use of the tool. Searched the full site navigation on 1 September 2026, including the home page, the nine module entries, the FAQs, the master agreement, the privacy and security pages and the about entries. This is a gap with weight for a platform that drafts patent applications and is sold to patent attorneys and law firms across five countries.
Billing and Fee Posture
Does the vendor address what happens to the bill when the work takes an hour instead of six?
Public materials claim time savings without addressing billing or disclosure.
Time and efficiency savings are the central marketing claim and nothing addresses what happens to the invoice. Drafting LLM is said to cut patent drafting time by up to 50 per cent, ClaimChart LLM to achieve 75 per cent greater efficiency than traditional manual methods, and Ideacue to accelerate ideation and brainstorming tenfold. No guidance accompanies any of it on how a firm should bill for or disclose AI-assisted drafting, searching or charting to the client paying for the work, and no per-matter record of AI-assisted work is described for any module that a firm could interrogate. The audience for the savings claims is explicitly the buyer's own cost base, with the monetisation modules framed around revenue rather than fees.
Outside Counsel Guideline Readiness
Can a firm get this vendor through a client’s AI clause without a bespoke negotiation?
The material exists behind a sales conversation or an executed agreement.
The material exists behind the executed agreement rather than in public. Clause 6.2 of the master agreement discloses that customer inputs may be shared with trusted third-party suppliers who may collaborate on the services and may access whole or part of the data, and clause 6.4 states that such sharing happens under confidentiality obligations mutually agreed and signed between the customer and XLSCOUT, or under the terms of the content security policy. No supplier is named anywhere. The security page names AWS and Microsoft Azure as cloud providers followed by the open phrase and others, and Azure endpoints as where generative inference runs, but that identifies infrastructure rather than the model providers a client's AI clause asks about, which is the same line applied to Anaqua in this pull. A firm can therefore obtain the disclosure by contracting, and cannot forward anything to its client today.
Court Disclosure Support
If a judge’s standing order requires an AI disclosure, can the product produce one?
No located public material addresses court disclosure or verification certification.
Nothing located addresses producing an AI-use disclosure or a verification certification. No export tying a passage to the model that produced it, the references it drew on, or the person who reviewed it is described for any module, and no AI-generated content marking or labelling convention is published. The automated novelty and invalidation reports do record which references were surfaced against which claim features, which is a retrieval record of a kind, but nothing states that it identifies the model or captures human review. Searched the module entries, the FAQs, the security pages and the master agreement on 1 September 2026. The obligation fits prosecution work imperfectly, though Drafting LLM output can reach a patent office and ClaimChart output can reach a dispute, so the row is recorded rather than skipped.