C
Compliance Intelligence
Compliance Intelligence is a regulatory change and obligation management platform built for United States banking compliance teams. It monitors global regulatory bodies for proposed changes, guidance, speeches and enforcement actions. Each update arrives as a summary with redlined changes against the source text, tagged for relevance so a team can see the likely impact and trigger the reviews the change requires. Underneath sits a library of laws, rules and regulations across the state and federal regulatory perimeter, continuously updated and tagged against a taxonomy built for financial services.
Obligation clustering identifies commonality across legal requirements and proposes a single rationalized obligation, linked back to the source regulations with a full audit trail. Applicability analysis draws on Wolters Kluwer's own subject matter experts alongside the models. A compliance risk management module using predictive analytics over proprietary enforcement data is announced as coming soon. The named users are compliance managers, chief compliance officers, legal and compliance decision makers and risk officers.
The product launched in the fourth quarter of 2025 and is sold by Wolters Kluwer Financial & Corporate Compliance within the OneSumX portfolio. Wolters Kluwer N.V. is listed on Euronext and headquartered in the Netherlands.
Compliance Intelligence, head to head
Side by side on the same 15 capability axes and 12 legal signals: where the two part company, and what neither one publishes.
Alternatives to Compliance Intelligence
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Similar is not the same, so check that each one does the job you need. No vendor pays for placement.
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Ordered by how closely the graded profiles match across the 15 capability axes, inside the same categories. See how each axis is graded in the methodology.
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.
A real AI layer performs the product's distinguishing work, on a content and workflow platform that predates it. The models' tasks are named. AI powered monitoring scans regulatory bodies for updates, a proprietary AI tool curates the change summaries and tags each event to produce an impact assessment, and obligation clustering identifies commonality across legal requirements and generates a suggested rationalized obligation.
That clustering is the capability the product is sold on, and it is machine produced. What sits underneath is not AI: a library of laws, rules and regulations across the state and federal perimeter, continuously updated and tagged against a financial services taxonomy, plus the workflow engine. That is substantially what the OneSumX regulatory change management line already was. The vendor places AI as one of three ingredients, stating that unlike solutions relying solely on automation it brings together structured regulatory data, human oversight, and AI powered workflows.
The compliance risk management module using predictive analytics over proprietary enforcement data is marked coming soon, so it is intent rather than a shipped capability.
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 real, architectural and documented, and no accuracy figure exists anywhere. Changes are delivered as summaries with redlined changes against the source text, so a reviewer can see what actually moved rather than trusting a paraphrase. Obligations generated by clustering are dynamically linked to source regulations, and clustering output carries a full audit trail. The underlying library is described as comprehensive across the state and federal regulatory perimeter and continuously updated.
Human subject matter experts are named as part of the applicability process. What is absent is measurement: no accuracy figure, no test set, no evaluation, no error rate and no hallucination disclosure under any name. The vendor's own material also contradicts itself. Marketing asserts unparalleled accuracy and reliability and, in a launch post, guaranteeing accuracy. The product FAQ describes the same functions far more carefully, as AI supported analysis that helps analyze obligations and surface potentially relevant requirements, assisting teams with research and early impact assessment. No measured figure stands behind the stronger claim.
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.
Human oversight is published as a design commitment, and the product's own language is consistently assistive. The vendor states that it combines structured regulatory data, human oversight and AI powered workflows rather than relying solely on automation. The mechanics bear that out. Obligation clustering generates a suggested obligation for the team to manage to rather than creating one, automated workflows trigger the necessary reviews rather than dispensing with them, and applicability determination combines subject matter experts with the technology.
The FAQ is more careful still, describing AI as assisting teams with research and early impact assessment and surfacing potentially relevant requirements. So the review point exists and the professional decides. What is missing is the structure around it. No threshold is published at which anything acts unattended, nothing states which workflow steps proceed without approval, and no confidence signal is described against a suggested obligation or an impact tag. Nothing addresses what happens when a relevance tag is wrong and a change is not escalated.
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 for this product is published. There is no named customer, logo, testimonial, case study or figure attached to any deployment of Compliance Intelligence on any page read. Two numbers on the product page belong to the parent rather than the product. Wolters Kluwer states it serves over 10,000 banks and credit unions globally, which is its book of business across the whole compliance portfolio. The page also carries a Chartis RiskTech AI 50 2025 top five global ranking for excellence in artificial intelligence, which ranks Wolters Kluwer rather than assessing this product.
Neither names Compliance Intelligence. The product launched in the fourth quarter of 2025 and was under a year old at this check, which explains a thin deployment record without changing what is published.
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.
Nothing addressing customer data in this product is published. There is no product level security page, data processing addendum, trust portal or customer agreement for Compliance Intelligence. The only governing document published is the global Wolters Kluwer Privacy & Cookie Notice, current at June 2026. It is scoped to the personal information of individuals who interact with Wolters Kluwer as visitors, contacts and account holders, and states that additional or different privacy notices may be provided for a specific Service.
Nothing published therefore addresses whether an institution's obligations, control mappings, risk posture or examination material is used to train or improve models, how long it is retained, whether it is segregated from other customers' data, or which model providers see it. This matters because the data a bank puts into this platform is its own compliance exposure, the material a regulator would ask for.
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.
No position on advice versus tooling is published, on a product that determines regulatory applicability. Nothing published states that the product's output is not legal advice, nothing addresses the boundary between a machine-suggested obligation and a compliance officer's or counsel's own determination, and nothing describes what a professional must verify before relying on an applicability assessment. The absence is pointed rather than formal, for two reasons drawn from the vendor's own material.
The product's central function is telling an institution which legal requirements apply to it and rationalizing them into obligations, which is an applicability judgment with regulatory consequences. And the named users include legal and compliance decision makers alongside chief compliance officers, so a professional is expressly in the loop. No rule of professional conduct, regulator expectation or supervisory guidance on the use of automated tools in a compliance program is cited anywhere.
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.
A published governance position exists at corporate level, with no mechanism, owner or testing behind it. Wolters Kluwer publishes AI Principles setting out five commitments. They cover privacy and security in design and deployment, transparency and explainability sufficient for users to understand and use the system appropriately, governance and accountability through development standards for risk management and issue remediation, fairness and nondiscrimination, and a human focused approach.
The principles state that they guide the design, development and deployment of advanced technologies across Wolters Kluwer's products and services. The page sits in the same navigation and footer as the product page on the same domain, so a buyer can connect the two. The principles are five aspirations of one sentence each. No named owner is accountable for this product's model behavior, no evaluation or testing regime is described, no results are published, and no governance certification such as ISO 42001 is held. Nothing specific to the product addresses how a clustering model that rationalizes legal obligations is validated.
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.
A generic corporate notice covers the product nominally and addresses none of what happens to customer content. The global Privacy & Cookie Notice is current at June 2026, version 1.5, and does carry real machinery: a controller framework across Wolters Kluwer N.V. and its subsidiaries, transfer safeguards naming EU Model Clauses and binding corporate rules, access limited to a need-to-know basis, an internal framework of policies and reasonable security standards, a full set of data subject rights with a working request route, and a stated position on retention.
But every one of those provisions is about the personal information of people who interact with Wolters Kluwer, not about the regulatory and compliance data an institution puts into this platform. Retention is stated without any period, resting on data retention policies that are not published. Third parties are given only as categories, with affiliates, service providers, business partners and advertisers named as classes and no individual processor identified anywhere.
No incident or breach notification commitment is published, no encryption standard is stated, and no product-level security documentation exists.
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.
No agreement governing the product is published. The global footer carries two legal links, a corporate Terms of Use and the Privacy & Cookie Notice. No product level agreement, master services agreement, subscription terms, service level document or acceptable use policy appears on the Compliance Intelligence page, in the OneSumX section, or in the footer. Every route on the product page leads to connecting with an expert, booking a demonstration or requesting a return on investment analysis, so the contract is negotiated rather than published.
No indemnity, liability cap, warranty on output, uptime commitment or insurance position could be located. This matters here because the product tells a bank which obligations apply to it, and a missed or wrongly clustered obligation is a supervisory finding. Allocation of loss is the question a buyer most needs answered before signing, and nothing published answers it. The corporate Terms of Use was not opened and may say more; by position and title it is a website terms page.
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 practice or enterprise systems is published. The product page names no integration of any kind: no GRC platform, no core banking system, no document management system, no policy or control repository, no identity provider, and no API, developer documentation or connector catalog. Nothing describes how obligations, controls or regulatory changes move between Compliance Intelligence and the systems a bank already runs, which is a live question because the wider OneSumX family includes separate products for policies and procedures, compliance risk and controls, compliance testing, complaint management and exam and inquiry management, and nothing published states how this product connects even to those.
The one interoperability fact located is directional rather than technical: obligations are described as dynamically linked to source regulations inside the platform.
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.
Neither the tenancy model nor any region is stated, and cloud delivery is not even made explicit. Nothing published describes how the product is delivered, whether it is single or multi-tenant, where customer data is stored or processed, which cloud or data center is used, or whether any regional or on-premise option exists. The only geographic statements located concern the subject matter rather than the infrastructure: the regulatory library covers the United States state and federal perimeter, and monitoring scans global regulatory bodies.
Those describe what the product reads, not where it runs. The corporate privacy notice addresses international transfers of personal information under EU Model Clauses and binding corporate rules, which establishes that Wolters Kluwer moves data across borders without saying anything about where this platform's customer data sits. For a product sold to United States banks under prudential supervision, where data resides is a question examiners ask directly, and nothing published answers 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.
No independent security attestation is published and none is claimed. There is no trust center, no security page for this product, no SOC 2, ISO 27001 or other framework named, no auditor identified, and no report offered at any access tier, including on request. No penetration testing or vulnerability disclosure program is mentioned. The only security statement located is in the global privacy notice and is expressed as intent rather than assurance.
It describes an internal framework of policies and reasonable security standards across the businesses, access limited on a need to know basis, and appropriate technical and organizational measures. It then states that Wolters Kluwer cannot guarantee information will be absolutely safe from intrusion. Nothing unsupported is on display, so this rests on absence rather than overclaiming. The gap is conspicuous for a product sold to regulated financial institutions, whose examiners will require third party assurance over material service providers.
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.
Nothing about the model supply chain is published. No model is named, no version or family is given, no model provider is identified, no cloud or inference location is stated, and no commitment to notify customers when any of it changes is published. What the material offers instead are brand terms and adjectives: Expert AI as the portfolio name, a proprietary AI tool said to curate regulatory change summaries, cutting-edge AI, and advanced AI technology.
Proprietary is the closest thing to a disclosure and it identifies ownership rather than architecture, saying nothing about whether third-party foundation models sit underneath. No subprocessor list exists at any level: the corporate privacy notice names only categories of recipient. A buyer in a supervised institution cannot establish from published material which models process its regulatory and obligation data, or whose they are.
Commercial Transparency
Whether a buyer can learn what this costs without entering a sales process: published rates, the unit being charged, what sits behind an enterprise tier, and what implementation adds.
No pricing information is published at any level, including the unit of charge. No pricing page exists for the product or anywhere in the OneSumX for Compliance Program Management section, and no figure or range appears. Nothing states whether charging runs per seat, per institution, per module, by asset size or by regulatory coverage. Every route on the page leads to a sales conversation, and the calls to action say so: connect with our experts, schedule a personalized demo, or connect with our team for a detailed ROI analysis. The last offers to model the buyer's return before telling the buyer the cost.
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.
The segment is defined narrowly and precisely. The product is stated to be designed specifically for financial institutions and, in the launch material, purpose built for United States banking compliance teams. Subject matter coverage is equally specific: a library spanning the state and federal regulatory perimeter, tagged against a taxonomy built for financial services, with monitoring extending to global regulatory bodies for changes, guidance, speeches and enforcement actions.
The product FAQ names the users: compliance managers, chief compliance officers, legal and compliance decision makers, and risk officers. Placement within the wider OneSumX compliance program family is documented, so a buyer can see what this product does and what its siblings cover. What is absent is the outer boundary. Nothing states institution size or type limits, nothing addresses whether credit unions, insurers or lenders other than banks are served, and no regulatory coverage outside the United States is claimed for obligations. Nothing says where the product stops.
3 public documents
The public pages on file for Compliance Intelligence, with the recorded signals each one supports and the date it was last read. Open any of them and check the reading against the record.
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Good Law Verification, Court Disclosure Support
Read Sep 4, 2026
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Fabricated Citation Record
Read Sep 4, 2026
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Third Party Request and Subpoena Notice
Read Sep 4, 2026
Legal Signals
What each signal meansA signal records what public sources say on the date shown. It is not a grade and it is not a recommendation. Where a signal reads Not addressed, it means the index did not locate the material in public sources on that date, which is a statement about disclosure rather than about the product.
Client Data in Training
Can material a lawyer puts into this product be used to train a model?
No customer agreement, terms of service or equivalent contract is published on any surface located, and no policy page states a position on training. Nothing is granted and nothing is withheld, so a client has no term to hold the firm to. Where a policy page does state a position, the row takes the matching policy value instead and the summary records that no agreement exists.
No agreement is published for this product, and no policy states a position on training. No product level agreement, data processing addendum or security page exists for Compliance Intelligence. The only governing document published is the global Wolters Kluwer Privacy & Cookie Notice, which is scoped to the personal information of individuals interacting with Wolters Kluwer rather than to the regulatory and obligation data an institution puts into the platform.
That notice lists developing and improving new and existing products and Services as a legitimate interest. It applies that to relationship data and does not name machine learning, model training or customer content, so it does not answer the question either way. The notice states that additional or different privacy notices may be provided for a specific Service; none was located for this one. Searched the product page, the AI principles page, the global privacy notice and the site footer on 4 September 2026.
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.
Customer content, queries and generated output have no stated retention period, and only personal data gets an open ended rule. The global privacy notice does address retention, but only for personal information and only in open terms: data is kept for the time necessary to achieve the purposes for which it was collected, in accordance with data retention policies that are not published, with anonymization offered as an alternative to deletion.
No period is given for anything. Nothing anywhere addresses the material this product actually holds, being an institution's obligation inventory, applicability determinations, control mappings and the regulatory change record built from them, and no deletion route, export commitment or end-of-subscription position was located. The one adjacent product statement runs the other way and is recorded because it implies durability rather than deletion: obligation clustering carries a full audit trail for traceability.
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.
Separation of one customer's data from another's is undescribed. Nothing states whether the platform is single or multi-tenant, no role or permission model is described, no administrator function is mentioned, and nothing addresses how one institution's obligation inventory and compliance posture is kept from another's. The question carries specific weight for this product because the obligation clustering feature works by identifying commonality across legal requirements, so a buyer would reasonably want to know whether that analysis is performed within its own tenant or across a pooled corpus, and nothing published says.
The only access statement located is in the global privacy notice and concerns Wolters Kluwer's own staff rather than customer separation, limiting access to personal information to a need-to-know basis. Searched the product page, the AI principles page, the global privacy notice and the site footer on 4 September 2026.
Third Party Request and Subpoena Notice
If someone subpoenas the vendor for a firm’s data, does the firm hear about it first?
Published terms or policy address disclosure to authorities or in response to legal process, and no commitment or reservation regarding customer notice is located anywhere. The vendor has told the customer that data can leave and has said nothing about whether the customer hears of it.
The global privacy notice addresses compelled disclosure and commits to no notice. It lists governmental authorities, regulators and other third parties among the categories with which personal information may be shared, in response to a legal request, court orders, or as otherwise necessary to comply with applicable law. No commitment to inform the customer before or after such a disclosure appears, and no discretion over notice is reserved either.
Two limits apply to the clause. It governs personal information under a notice scoped to individuals interacting with Wolters Kluwer, so it does not clearly reach an institution's obligation and compliance data held in the platform, and nothing else published addresses compelled disclosure of that material. No transparency report was located. The gap has a particular edge for a product sold to supervised banks, whose regulators may themselves be the requesting party.
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.
The content is described by regulatory perimeter and never identified as a collection. The scope is specific: a comprehensive library of laws, rules and regulations across the state and federal regulatory perimeter, continuously updated and tagged against a taxonomy built for financial services. Monitoring extends to global regulatory bodies for proposed changes, guidance, speeches and enforcement actions, and a body of proprietary enforcement data is reserved for a module not yet shipped.
That tells a buyer which jurisdictions and instrument types are in scope. It does not identify the collection: no individual regulator feed, data supplier or publication source is named, and no update cadence is stated beyond continuously. Nothing describes how completeness of the perimeter is assured, and no licensing basis is given for any content.
Good Law Verification
Does the product tell you when the authority it just cited has been overruled?
The vendor computes and surfaces subsequent history itself, with the method described.
The vendor maintains its own currency signal over the regulatory content, and that is the product's central function rather than an add on. Regulatory updates are monitored continuously and delivered as summaries with redlined changes against the source text, tagged for relevance, with automated workflows triggering the reviews a change requires. Obligations generated from those requirements are dynamically linked to the source regulations, so when an underlying rule moves the affected obligation is identifiable.
That is the regulatory analog of a treatment signal: a user is told when the authority an obligation rests on has changed. This tracking is Wolters Kluwer's own rather than a licensed independent citator. Nothing published states how quickly a change is reflected, how completeness across the perimeter is assured, or whether any indicator appears on an obligation whose source has been superseded but not yet reviewed.
Refusal and Uncertainty Behavior
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.
Unreliable determinations carry no described signal from the system. The published language is consistently assistive. It describes AI that helps analyze regulatory obligations and surfaces potentially relevant requirements, assisting teams with research and early impact assessment, and clustering that generates a suggested obligation for a human to manage to. Those establish that a person decides, not that the system signals when it is unsure.
Nothing describes an abstention path, a state for declining to answer, or a confidence or coverage indicator on a relevance tag, an applicability determination or a suggested obligation. That is where it would matter most: a change tagged as not relevant is a change nobody reviews, and nothing published says whether the system marks such a call as uncertain. Searched the product page, the AI principles page and the corporate AI page on 4 September 2026.
Fabricated Citation Record
Does a public court record exist addressing fabricated or hallucinated legal citations in output from this product?
No court order, opinion or disciplinary record addressing fabricated or hallucinated legal citations produced by this product has been located as of the date shown. This is a statement about the public record on that one subject, not a finding about the product, and this signal is not a litigation history.
The AI Hallucination Cases database maintained by Damien Charlotin was searched on 4 September 2026 on both the product name Compliance Intelligence and the corporate name Wolters Kluwer. No court order, opinion or disciplinary record naming the product was located. The database tracks fabricated legal citations in court filings, and this product supports regulatory change and obligation management inside a compliance program rather than producing court submissions, so its exposure to that specific failure mode is structurally low. 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.
Professional guidance and named authority on using the tool are absent, though regulators appear as the subject of monitoring. Regulatory bodies are referenced generically as the objects of monitoring, described as global regulatory bodies and the state and federal regulatory perimeter, but a regulator whose rules are being tracked is the subject matter of the work rather than a source of guidance on how software should be used within a compliance program.
No supervisory expectation, examination manual, interagency guidance on model risk management or third-party risk, professional body publication or bar guidance is cited anywhere. The absence is notable in this market specifically, because model risk management guidance for United States banking institutions is well established and directly relevant to a bank deploying a machine-generated obligation inventory. Searched the product page, the AI principles page, the corporate AI page and the global privacy notice on 4 September 2026.
Billing and Fee Posture
Does the vendor address what happens to the bill when the work takes an hour instead of six?
The product does not touch a fee between a lawyer and a client. It operates before an engagement exists, or it is bought by a team that bills no client for the work. Savings claims aimed at the buyer’s own cost are recorded in the summary and do not make the row a savings claim, because no client bill is in the loop.
Cost and effort savings are claimed and no billing or fee question is engaged. The claims concern institutional cost rather than any measured figure. The solution is said to reduce the time compliance teams spend assessing applicability and identifying obligations, to let compliance executives focus on strategic priorities by reducing manual burdens, and to help institutions stay compliant while managing risks and reducing costs.
A detailed return on investment analysis is offered through a sales conversation. Nothing addresses what happens to a fee, a budget or an internal chargeback when that work compresses, and no record of AI assisted work per matter or per obligation is described. The buyer is an in house compliance function rather than a firm billing a client, so there is no external invoice on which the compression would appear.
Outside Counsel Guideline Readiness
Can a firm get this vendor through a client’s AI clause without a bespoke negotiation?
No located public material supports a client side disclosure obligation.
None of the material a client or examiner would ask for is published at any access tier. No subprocessor list exists: the global privacy notice names only categories of recipient, being Wolters Kluwer affiliates, service providers, business partners and advertisers, without identifying a single third party. No model provider is named anywhere, so nothing states who or what processes an institution's regulatory and obligation data.
There is no published data processing agreement, no trust portal, no security documentation and no consent or notification pack, and no request route for any of it is offered. Nothing is gated behind a form or an agreement either, because nothing is offered to gate. The shortfall is sharper than the ordinary case because the buyer is a supervised financial institution whose own third-party risk management obligations require it to evidence exactly this about a material service provider. Searched the product page, the AI principles page, the global privacy notice and the site footer on 4 September 2026.
Court Disclosure Support
If a judge’s standing order requires an AI disclosure, can the product produce one?
Some elements of the record are available, short of a document level export.
A real derivation record is published, and it is attached to the AI step. Obligation clustering identifies commonality across legal requirements and generates a suggested obligation, and the vendor states that this comes with a full audit trail for traceability. An institution can therefore show how a rationalized obligation was derived from the underlying requirements. Obligations remain dynamically linked to their source regulations, regulatory changes arrive redlined against source text, and the wider suite includes exam and inquiry management for producing material to a regulator.
What is absent is the model dimension. Nothing states that the audit trail records which model or version produced a suggestion, and no capture is described of what a human reviewed, amended or rejected before accepting a clustered obligation. No guidance exists on disclosing AI involvement to an examiner, which is the disclosure that would be demanded here.