AscentAI vs Corlytics: how they compare in 2026
AscentAI and Corlytics start from the same idea: a financial firm needs a register of the obligations that apply to it, kept current as rules change. AscentAI builds that register through two modules. AscentHorizon scans news, guidance and enforcement across 98 countries, and AscentFocus maintains the register, finds gaps and duplicates, and assesses which changes touch which obligations. It then pushes obligations into the GRC systems it names, including LogicGate, Onspring, Resolver, MCO and Corestream. Corlytics keeps more of the work inside its own platform. It maps obligations to policies and controls, suggests wording for gaps that the firm's experts validate, and adds Clausematch policy management, compliance monitoring and a nonfinancial risk module. AscentAI offers its SOC 2 Type I report through a trust center, while Corlytics names three certifications without posting reports. The choice turns on whether obligations should live in an existing GRC system or in the regulatory platform itself.
At a glance
All 15 axes, side by side
The same grid applied to every vendor in the index, graded from public sources. Hover a grade to see what the letter means on that axis.
AI Centrality
How much of the product is actually AI. Whether the machine learning is the mechanism the buyer is paying for or a feature layered onto conventional software, and whether the vendor is specific about which is which.
Beyond regulatory news, the platform derives a register of obligations specific to each firm from the rule corpus, then assesses automatically which incoming changes hit which obligation, with summaries of what changed generated automatically. The company describes itself as delivering fully processed information ready for action, unlike document based vendors, and a 2022 announcement describes patented AI and natural language processing technology as the mechanism. Without the models, a real product would remain: a global regulatory content database across a stated 98 countries and 1,000 sources, a manually maintained obligations register, collaborative workflows, audit trails and GRC integrations. The company rebranded from Ascent Technologies to AscentAI in March 2025.
Machine learning does three jobs on every incoming document: it decides what the document is about, condenses it, and connects it to related material. Regulatory notices, rules and enforcement actions are classified against Corlytics' universal regulatory taxonomy, long texts are summarized, and similar items are matched across datasets to flag duplication and feed gap analysis. Obligations Management goes further. Semantic parsing strips introductory and suggestive text from a rule to leave a set of action items. Specialized models map those obligations to a firm's policies, controls and products and consolidate the overlaps, and large language models propose wording that would close a gap in a policy or control. Policy Management drafts new policy content with AI, and Regulatory Risk Analytics runs Corlytics' own risk models over enforcement data. The machine learning framework that tags handbook provisions in real time was first built with the FCA in 2016 and 2017. Without the models, the version tracking, change packages, approval workflows, controls mapping and monitoring plans would still run as a regulatory workflow system.
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.
Product pages promise a high confidence regulatory register, a rock solid inventory of obligations, a single source of regulatory truth, that users will never miss an update, and that AI powered change management eliminates human error. No benchmark, error rate, test set, precision or recall figure for obligation extraction or applicability is published. Rule Compare shows the new and former versions of a rule side by side with changes redlined, so a user can open the actual regulatory text. The terms say all Content is for information only, may not reflect the latest regulatory developments, and is not guaranteed to be correct, complete or up to date. The History Views clause calls the register Ascent's best guess of the rules that apply to the customer.
Every alert, summary and obligation stays linked to the regulatory text it came from. The Regulation Library keeps laws, rules, handbooks and guidance in their original PDF, XML or HTML form, so second and third line teams read the documents they already know. It breaks each one down to obligation level. A version manager shows the current text of a rule beside the previous version, with changes lined in red and green, and keeps the full history. Obligations mapped to policies and controls point back to that source. Quality control is described as a process rather than a number. Subject matter experts at Corlytics validate the enriched content, and in Obligations Management the client's own experts review extracted and mapped obligations before gap reports go out. In the FCA handbook project, machine tagging ran with a review, approve or reject step and a full audit trail. No accuracy rate or test result is given for classification, summaries, extraction or mapping.
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 pitch is automation: changes are captured in real time, applicability against the obligations register is assessed automatically, and summaries are generated automatically, with the vendor saying every update is assessed and presented ready for action. Nothing describes a review point in the product, a confidence threshold at which the system defers, or what happens after an assessment is wrong. The audit trail records activity but does not control it. The one oversight statement is in the contract, not the product. The terms tell users to consult a Compliance Professional if a problem is too complex for Ascent, and make the user solely responsible for legal compliance and any use of the Solutions.
The platform automates the reading and routing of regulation and leaves decisions to people. Content is collected, classified and sent to the right business lines and teams without manual triage. Extraction and mapping run automatically, then the client's subject matter experts validate the results before gap reports and attestations are produced. Gap analysis returns suggested wording for a policy or control rather than changing it, and users are prompted to revisit mappings when a rule changes. Change management turns a regulatory change into a change package with owners, tasks and alerts at each stage, and records offline gap analysis alongside it. Policies pass through configurable multistage approvals. For the FCA's handbook, machine tagging ran inside a four eyes workflow in which users could review, approve or reject each change. No confidence level is described at which the models hold back output, and nothing covers what happens once a wrong mapping has reached a policy or control.
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.
The home page quotes a compliance executive at a large financial services firm on how hard it is to find vendors that identify a firm's obligations rather than just stating the rules; no organization, name or date is given. No customer logos appear on the home page. The partner logos there, MCO, LogicGate, Onspring, Resolver and Corestream, are GRC integrations, not customers. Claims of scale concern the content, not the customer base. Vendor announcements describe partnerships with Halo Ai and Diligent, not deployments at named customers.
The longest running named deployment is the FCA. A pilot began in September 2016 and the Intelligent Handbook went live on 10 May 2017, with Corlytics' taxonomy and machine learning tagging covering more than 18,000 provisions. Other FCA functions use it too, including to speed up firm onboarding. Arbuthnot Latham, a London private and merchant bank, is named in a case study about centralizing group policies, with standard templates, single sign on and staff attestation among its requirements. The International Compliance Association launched an alert tool on Corlytics feeds in June 2025 for more than 30,000 members, and GRC Report began carrying its feeds in September 2026. Six more case studies are anonymous. Corlytics puts the efficiency gain at 25% for the compliance monitoring and risk insight teams of a European tier 1 bank. A crypto exchange went live in six weeks, and a United States investment manager with more than one trillion in assets replaced older third party tools with it. Client logos also include FINRA, ING, abrdn, Block, Natixis, Patria, SCOR, Swiss Re and Vontobel. The headline claims, 40% of the world's 30 largest banks as clients and policy approvals 50% faster, come without a named source.
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 security page describes the perimeter in detail: AES-256 at rest with FIPS 140-2 validated hardware security modules and automatic key rotation, TLS 1.2 or 1.3 in transit, secrets injected at runtime rather than hardcoded, single sign on with phishing resistant WebAuthn factors, role based staff access and automatic removal of access on termination. No position on training is published. No retention or deletion commitment for customer content, data processing agreement, or description of separation between customers, users or matters is published either. The terms advise against sending confidential information in response to the Site, and say Ascent cannot guarantee the confidentiality of anything sent through the Site or by email, disclaiming liability for interception. Those cover communications rather than platform data, and they are the only confidentiality statements in the terms.
Each client's policies, obligation registers, impact assessments and control mappings sit in the platform, and the terms that govern that content are not public. No customer agreement, data processing agreement or confidentiality schedule is published. Nothing public says how client content is used, whether it trains the models, or how one client's data is kept apart from another's. The June 2026 privacy notice is the only data document. It covers personal data about people outside the customer relationship, such as website visitors, prospects and suppliers, though its reader list also names software users. It describes access controls, user authentication, encryption, staff confidentiality and regular security testing. ISO/IEC 42001 certifies how Corlytics governs its own AI, and ISO/IEC 27001 covers its information security management. Neither is a statement to clients about how their content may be used.
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.
The terms deal with professional responsibility in four separate headed sections. Ascent says it is not a law firm or attorney and does not give legal advice, and that a user who needs legal advice agrees to contact their attorney. A section headed that the Site and Solutions are not legal services says no attorney client relationship is created or implied. It addresses privilege directly: any such relationship and related privileges can only be formed between the user and their own attorney under that attorney's engagement and conflict procedures. Another section says Ascent is not a law or compliance firm, may not perform the services of a Compliance Professional, and that its Solutions, forms and templates do not replace one. Jurisdiction limits are named. The subject matter varies by jurisdiction and regulator and is open to differing interpretation by courts and regulators, no general tool fits every case, and users should consult a Compliance Professional in their area. Nothing addresses supervision, competence or how the product supports a practitioner's own duties, and no bar or ethics guidance is named.
The product sells interpretation as well as information. The platform extracts obligations, filters them to a firm's activities and jurisdictions, suggests how a policy or control should change, and drafts policy text. In one UK bank's case, a third party consultancy used rules supplied by Corlytics to complete a rules mapping exercise the bank had agreed with its conduct regulator. The website legal notice says site content is general guidance that does not replace regulatory, compliance, risk analytics or other professional advice, and supplies it as is. It governs the website rather than the platform. No public statement says how platform output relates to legal or compliance advice, or who is responsible for checking it before a firm relies on it. The client expert validation step in Obligations Management is the clearest description of who signs off.
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.
Nothing on the AI capability page, the security page, the platform, AscentHorizon and AscentFocus pages or the company section addresses how the AI itself is governed. There are no responsible AI principles, no model governance framework, nothing on what is tested before a model ships, and no named owner for AI decisions. Nothing addresses uneven output across jurisdictions, regulators or obligation types, although the platform decides which of a stated 400,000 obligations across 98 countries apply to an institution. The security page covers infrastructure: AES-256 at rest with FIPS 140-2 validated hardware security modules, TLS 1.2 and 1.3 in transit, yearly penetration testing, and a program aligned to the NIST Cybersecurity Framework. The AI page says in house compliance experts verify all regulatory data. The Vanta trust center at trust.ascentregtech.com holds the SOC 2 Type I attestation.
An AI management system certified to ISO/IEC 42001:2023 covers the whole business. A-LIGN issued the certification in May 2025 after a two stage audit that found zero nonconformities, and Waystone Compliance Solutions advised on the program. The scope covers every product line. The program is framed around bias mitigation, risk and resilience controls across the AI lifecycle, and mapped to the EU AI Act and the UK National AI Strategy. Later releases add the NIST framework and OECD principles. Oisin Boydell, Chief Data Officer, speaks for the AI program, and founder John Byrne describes an AI by design strategy that reaches six competencies of the business. Product pages describe a science based method, ensemble models and expert validation at each stage. Test results are not published, so nothing shows how output quality varies across languages, jurisdictions or document types.
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.
The security page lists AES-256 at rest with FIPS 140-2 validated hardware security modules and automatic key rotation, RSA-2048 and SHA-256 as accepted algorithms, TLS 1.2 or 1.3 in transit, and secrets injected at runtime with keys held in hardware modules. Testing includes yearly penetration tests and regular vulnerability scans. Devices are centrally managed with enforced disk encryption and screen lock and round the clock alerting, remote access runs through Tailscale on WireGuard, DNS blocks malware, and staff take Vanta security training at onboarding and yearly after. No retention period for customer content, deletion commitment or route, subprocessor list, or incident or breach notification practice is published. The privacy policy covers website visitors and says customer data is mainly stored in the United States but may be moved and accessed worldwide.
Clients' regulatory content, obligation registers and policies live in Corlytics' cloud platform, and no published document sets retention, deletion or subprocessor terms for them. The privacy notice covers personal data only. Corlytics keeps that data for the life of an active contract, or as legal and business needs require, then deletes or anonymizes it, with the detail in an unpublished Data Retention Policy. Breaches are notified without undue delay and reported to the supervisory authority under an unpublished Data Breach Management Policy. Luca Dalla Giacoma is the named Data Protection Officer. The same notice lists access controls, authentication, encryption, IP anonymization, network security, business continuity and disaster recovery, and regular testing. It names recipients only by category: staff, technical service providers acting as processors or subprocessors, authorities such as HMRC, professional advisers and buyers of the business. The ISO/IEC 27001 certificate covers the information security management behind the service.
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.
Liability is capped twice. The limitation clause caps it at the previous six months of customer payments where outright exclusion is not allowed, and a separate Liability Cap section caps total liability at the annual fee paid, expressly including indirect and consequential damages in any jurisdiction. Warranties are disclaimed in full: Ascent does not guarantee the accuracy, completeness, timeliness, reliability, suitability or usefulness of any part of the Site, and puts the whole risk of accuracy on the user. The limitation clause opens by saying Ascent is not liable for any loss caused by reliance on information from the Site. The only indemnity runs from customer to vendor. There is no vendor indemnity, warranty on output or insurance position. The History Views clause adds a disclaimer of all liability for the obligations history the platform shows.
The only public legal document is a website notice. It supplies site content as is, disclaims accuracy, timeliness and completeness, and excludes liability for direct, indirect, consequential and other damages arising from the site. The client application sits behind a sign in, and no customer agreement, order form or service terms is published, so the platform's warranties, indemnities and liability limits are not public. Clients use the output in front of regulators. Firms rely on Corlytics mappings to evidence compliance and attest to supervisors, and one UK bank used Corlytics rules in a rules mapping exercise agreed with its conduct regulator. No public term says who carries the loss if a mapping, summary or suggested policy change turns out to be wrong.
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.
The platform integrates with GRC platforms so that obligations, policies and controls reflect current requirements: obligations flow from the register into policy and control records held elsewhere. Five GRC partners are named on the home page (MCO, LogicGate, Onspring, Resolver and Corestream), and a policy and control engine is described for pushing changes through and overseeing them in GRC. Vendor announcements describe two more integrations in substance. Diligent's regulatory compliance product takes in Ascent's monitoring and interpretation so obligations update automatically and alert the user to assess impact. Halo Ai takes Ascent's enriched regulatory data through named endpoints into its own workflow engine. The site navigation lists no public API reference, developer portal or integration documentation, and the endpoints in the Halo Ai announcement are not publicly documented.
The platform is built to sit beside a firm's GRC stack and feed it. The Regulation Library is described as fully API ready, with an Open API for major GRC platforms. Regulatory Monitoring, Obligations Management and Compliance Monitoring each send data or outcomes into a firm's GRC environment, and an investment manager client uses the data to feed its internal compliance newsletter. The FCA handbook project connected to the regulator's existing content repository, and Taxonomy Manager for Regulators links digital handbooks to online portals and obligation registers. The partners page shows logos for IBM, ServiceNow, Solidatus and Chainalysis among others. Inside the platform, controls mapping links obligations to a firm's policies, standards, procedures, controls and processes, and taxonomy routing sends content to the right business lines and teams. No connector is named, and there is no public API reference or integration guide that shows what syncs and in which direction.
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.
A hosted application runs at app.ascentregtech.com, and the terms describe Ascent hosting its Solutions as a backend service. Nothing names a hosting provider or data center region, or says whether customers get a dedicated or shared environment. The privacy policy is the only place a location is published: the company mainly stores customer data in the United States and may transfer and access it worldwide. The policy makes no residency commitment, offers no choice, and concerns personal data rather than the obligations registers and policy mappings the platform holds. Processing location is not addressed separately from storage.
Delivery runs from Corlytics' own cloud, the environment named in its ISO/IEC 27001 scope. Implementations run remotely across time zones, led by a dedicated implementation team, and Corlytics says go lives can take a matter of weeks. The security page lists geo specific hosting among its principles. The hosting provider, regions and tenancy model are not named, and no choice of location is offered. The only geography in the privacy notice concerns personal data transfers outside the UK and EEA, which rely on adequacy decisions, approved contracts or other safeguards. Group companies in Ireland, England, Portugal and the United States describe where Corlytics operates rather than where client data sits.
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.
AscentAI says it holds a SOC 2 Type I attestation, the report on design at a point in time, rather than a Type II examination of how controls operate over a period. A trust center runs at trust.ascentregtech.com, and the security page says the attestation is available there, so a route to the report is published. The security program is also described as aligned to the NIST Cybersecurity Framework, and the security page was last modified in April 2026. The security page names no auditor and gives no examination date or period, and no scope statement says which entities or systems are covered.
Three certifications are named. ISO/IEC 27001 covers all activities of Corlytics Limited in delivering data and software for legislation, regulation and document management services from its cloud solutions. A SOC 2 Type 1 report from the independent CPA firm Thoropass tests control design against all five Trust Services Criteria at a point in time. ISO/IEC 42001:2023 came from A-LIGN in May 2025. An Information Security Manager runs the security program, whose principles include secure development, testing and quality assurance, continuous integration testing, infrastructure controls, geo specific hosting and incident response. One reinsurer cleared Corlytics through its own digital governance process as an approved third party supplier before rollout. No report or certificate is posted, and the security page invites readers to get in touch for more on its procedures.
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.
A 2022 vendor announcement describes patented AI and natural language processing, and the product pages refer to AI powered automation, AI summaries and AI impact assessment without naming a model, model family, provider or architecture. Nothing says whether any third party foundation model is used at any point. Where inference runs is not stated, and no commitment to notify customers of model changes is published.
Its AI is presented as the company's own work. Ensemble models with expert oversight handle classification and summaries, and specialized machine learning models handle obligation mapping. Gap remediation suggestions come from what Corlytics calls expert LLMs, and handbook tagging runs on a machine learning framework first built with the FCA. No model, model family or provider is named for any of them, and whether a third party foundation model is called, or where inference runs, is not stated. The ISO/IEC 42001 management system covers every product line, with no list of the models it governs and no commitment to tell clients when they change.
Commercial Transparency
Whether a buyer can learn what this costs without entering a sales process: published rates, the unit being charged, what sits behind an enterprise tier, and what implementation adds.
No pricing information is published at any level, including the unit of charge. The site navigation, which covers the platform, difference, buyer, partner, resource and company sections, has no pricing page or entry. Every commercial route on the property is a contact form or a request to talk. The terms of service describe a priced self service route without publishing any part of it: a user signs up for a duration of their choice ranging from one month to three years and pays by credit card, with pricing terms and procedures deferred entirely to a separate Individual Service Agreement, and recurring ACH debit authorized against charges described in that agreement. The only figure published anywhere is a 25 dollar fee for a transaction returned for insufficient funds, which is a penalty rather than a price. No rate, range, tier name, unit per seat or per obligation, or statement of what implementation adds is published.
Buying Corlytics starts with a demo and a sales conversation, and no prices, plan names or units of charge are published. The platform is modular. In its case studies, clients start with Regulatory Monitoring and add Risk Analytics, Compliance Management or Clausematch policy management, and one payments provider added two modules within a month of going live. Implementation is run by a dedicated team, with an implementation manager for each client, in sprints. A crypto exchange went live in six weeks, while one reinsurer's rollout ran through requirements and design, a proof of concept and approval as a third party supplier. Modules and configuration can be added after go live. No figure is published for licenses, implementation or the work of building a firm's taxonomy and obligation register.
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.
Segments are described as regulatory scope rather than a logo wall: banks and credit unions; mortgage services, consumer finance and fintech platforms; electronic payments and money services; investment advisers, broker dealers and funds; crypto and digital asset businesses; and market infrastructure such as exchanges, clearing and settlement organizations and repositories. Topics include consumer protection, consumer privacy, anti money laundering, countering the financing of terrorism and ESG, across a stated 98 countries and 1,000 data sources. Every segment is in financial services, and nothing states firm size, obligation volume or where the product stops. The Who We Serve section has pages for Compliance, Risk and Digital Transformation but none for Legal, though the platform page and the rebrand announcement both position the product for legal teams.
Buyers are regulated financial firms and the regulators that oversee them, with a second line of business in health and life sciences. Sector pages cover global and private banks, hedge fund and investment managers, global insurers, payments and big tech, and regulators. Case studies add a reinsurer, a crypto exchange, a UK retail and commercial bank, a London merchant bank and a United States investment manager. Regulators buy a Taxonomy Manager edition that turns handbooks into machine readable, searchable databases with visual maps by theme, product and business line. Health and life sciences clients get regulatory sensing, guidance assessment, digital call for comments assessments and a repository that supports submissions. Financial services modules cover horizon scanning, the regulation library, obligations, change management, controls mapping, policy management, compliance monitoring, regulatory risk analytics and nonfinancial risk across operational, conduct, third party, cyber, AI and governance risk. Product pages speak to compliance, risk and audit teams and their chief officers, and case studies show legal teams working alongside them. No limit by firm size, jurisdiction or language is stated.
The 12 legal signals, side by side
Recorded rather than graded. These are the questions a practitioner has to answer before a tool touches a client matter, and the answers are taken from public material only.
Client Data in Training
Can material a lawyer puts into this product be used to train a model?
The terms of service govern the Site and the Solutions, run to roughly twenty sections covering warranties, liability, indemnification, service rules and payment, and contain no provision on the use of customer content for model training or improvement. The security page, the privacy policy, the home page, the RLM Platform page and the Compliance page do not address it either, and no data processing agreement is published.
The nearest statement concerns a different subject: as between the parties the customer owns and retains all right, title and interest in its Account Information, which is a statement about ownership rather than about training use.
No customer agreement, data processing agreement or subscription terms is public, and no policy page states whether client content is used to train or improve Corlytics' models. The privacy notice covers personal data about people other than customers and application users, and the security page describes controls without mentioning model training.
The AI works directly on client material. Gap analysis reads a firm's own policies and control descriptions before its language models suggest changes, and Policy Management drafts new policy text with AI inside the firm's own documents.
Specialized mapping models and an ISO/IEC 42001 AI management system sit beside this. Neither is tied to a published statement about the policies, obligation registers and impact assessments a client keeps in the platform, or about what any model provider may keep.
Prompt and Output Retention
How long does the product keep what a lawyer typed, and can that be set to zero?
The terms of service, the security page, the privacy policy and the platform pages do not state how long customer inputs or generated outputs are retained, and no zero retention or customer configurable option is described. The privacy policy addresses website visitor data rather than platform content. One clause touches the subject: the History Views section of the terms provides that where new information changes Ascent's assessment of a customer's history of rules and documents, the prior history may not be accessible to the customer and may be replaced by an updated view.
That describes a presentation policy rather than a retention window, and the record a customer sees is not guaranteed to persist unchanged.
No retention period is set for a client's uploaded policies, impact assessments, generated summaries or other working content, and nothing says whether a client can set one. The only retention statement covers personal data. It runs for the life of an active contract, or as legal obligations and legitimate business needs require, after which the data is deleted or anonymized. A Data Retention Policy holds the detail and is not public.
History is kept by design. Policy Management keeps version control and a full audit trail of every action, the Regulation Library keeps every version of each rule, and change packages record each stage of a change. AI summaries, gap remediation suggestions and drafted policy text sit inside that history with no stated retention period or deletion route.
Ethical Walls and Matter Segregation
Does retrieval respect the firm’s ethical walls, or can the model read across them?
The Information Sharing section of the terms says users with the right permissions can share access to their accounts, with a law firm working for the customer as the example, and makes the customer responsible for anyone it shares access with. So per user permissions exist and sharing outside the organization is supported. Nothing says how the model is enforced, how fine grained it is, or whether shared access can be limited below the whole account.
The role based access controls on the security page govern AscentAI staff, not customer users. Nothing addresses walls or separation between teams or matters within a customer account.
Separation between clients, and between business units inside a client, is not described. Policy Management offers granular permissions on document sections and multistage approval workflows, and Taxonomy Manager for Regulators supports secure multiuser access. Those are access controls inside a client's own workspace.
The taxonomy tools route regulatory content to business lines, teams and individuals according to the firm's own taxonomy. That scopes content by relevance rather than by an enforced boundary.
Neither feature addresses whether AI classification, mapping or gap suggestions draw only on a client's own content, or whether clients share infrastructure.
Third Party Request and Subpoena Notice
If someone subpoenas the vendor for a firm’s data, does the firm hear about it first?
The terms of service, the privacy policy and the security page publish no commitment to notify the customer of a third party request for its data. The terms have no confidentiality section in the usual sense, so the clause that ordinarily carries this obligation does not exist. One provision addresses disclosure to authorities and contains no notice undertaking: the terms state that user activity may be monitored, that users expressly consent to such monitoring, and that if monitoring reveals possible criminal activity security staff may provide the evidence to law enforcement officials.
That concerns monitoring of system use rather than a subpoena for customer content. No transparency report is published.
The privacy notice, effective June 2026, says that if Corlytics is asked to disclose personal data under a legal request or court order, it will take legal advice before responding. It also lists authorities such as HMRC among the recipients of personal data. The notice names five group companies as controllers, in Ireland, England, Portugal and the United States.
Both passages concern the personal data of named groups, such as software users and website visitors, and neither promises to tell the client. Nothing public addresses a court order or regulator demand for the content a firm holds in the platform, and no customer agreement is published that could carry a notice commitment.
Primary Law Corpus Provenance
Where does the law in this product come from, and does the vendor have the right to use it?
AscentAI's home page states 98 countries, roughly 1,000 data sources and 400,000 obligations, and the RLM Platform page breaks coverage down by segment and by cross segment regulatory topic including consumer protection, consumer privacy, anti money laundering, countering the financing of terrorism and ESG. None of the 1,000 sources is named on those pages, the Compliance page or the terms of service, no regulator, publisher or feed is identified, and no license or rights basis is stated for any of it.
The terms confirm that third parties are involved without naming them, describing the Content as relating to and provided by Ascent Technologies Inc. and its third party content providers. No update cadence is published, although the product is marketed on capture in near real time.
Coverage is described by type, scale and global reach rather than by source. Corlytics collects regulatory notices, rules, guidance, handbooks and enforcement actions automatically from regulators worldwide, and cites about 30 million pages of regulation a year in multiple languages. Its September 2026 partnership release speaks of thousands of regulators, and one bank's risk analysis drew on thousands of enforcement documents.
The Regulation Library holds a baseline of laws, regulations, handbooks and guidance across global jurisdictions, kept in original formats and broken down to obligation level. Content is added by market: one reinsurer's rollout planned Latin American regulatory data as its next addition. No regulator list, publisher, data supplier or license basis is published, and no update schedule is given beyond real time collection.
Part of what clients receive is Corlytics' own work, such as enforcement analysis, risk models and AI summaries beside the primary text.
Good Law Verification
Does the product tell you when the authority it just cited has been overruled?
Rule Compare shows the new and former versions of a rule side by side with changes redlined. The change management engine detects in near real time when a tracked rule has changed and which of the customer's obligations it affects, with automatic summaries of what changed. The vendor computes and shows later history for its own content rather than licensing a treatment service, and describes the method at the level of what the user sees.
The terms say Content may not reflect the latest regulatory developments, and nothing published evidences the currency of the underlying content. The History Views clause says an earlier version of a customer's rule history may stop being accessible and be replaced by an updated view.
Rule currency is handled inside the platform rather than through a licensed treatment service. The Regulation Version Manager tracks updates to live regulations and keeps a full version history, with side by side comparison of previous and current text and red and green lining of the changes.
When a rule changes, users are prompted to update the policies and controls mapped to it, and change management routes the update to impact assessment and gap analysis. Controls mapping carries the change through to every linked control, which Corlytics calls dynamic traceability.
Nothing states how quickly a regulator's publication reaches the library, or how accurately changes are detected.
Refusal and Uncertainty Behavior
What does the product do when the answer is not in the corpus?
Nothing on the home, platform, compliance or security pages or in the terms describes what the system does when a question or rule falls outside its scope. No abstention path, confidence score, coverage indicator or low certainty flag is published for the applicability assessment or the generated summaries, and nothing describes what a user sees when the platform cannot tell whether a change affects them. The terms answer the question contractually instead: if a problem is too complex for Ascent and its Solutions, the user should consult a Compliance Professional in their area. That puts the escalation duty on the user.
What the platform does when a model cannot classify, summarize, extract or map with confidence is not described. No confidence value, coverage flag or low certainty marker appears for any AI step, including the language model gap suggestions and AI policy drafting.
People review output at set points instead. Corlytics' experts validate enriched content, the client's experts validate obligation results, and in the FCA handbook project users could review, approve or reject each machine tagged change in a four eyes workflow. Those reviews cover every item rather than being triggered by model uncertainty, and nothing in the platform marks which outputs a person has already reviewed.
Gap analysis returns suggestions rather than edits, which leaves acceptance to the user.
Fabricated Citation Record
Does a public court record exist addressing fabricated or hallucinated legal citations in output from this product?
The AI Hallucination Cases database maintained by Damien Charlotin at HEC Paris records no case naming AscentAI or its former name, Ascent Technologies, and no court order, opinion or disciplinary record naming either appears in 2026 sanctions trackers or trade coverage. This is a statement about the public record rather than a finding about the product. The platform's output is a regulatory obligation assessment used inside a compliance team rather than a citation filed with a court; the same risk would take the form of a fabricated or misattributed regulatory citation reaching an examiner rather than a judge.
The AI Hallucination Cases database maintained by Damien Charlotin, which records court decisions worldwide that address hallucinated AI content and the tool involved where known, has no entry naming Corlytics or Clausematch. Corlytics' models classify, summarize and map regulation for compliance teams and regulators rather than draft court filings.
Bar Guidance Alignment
Has the vendor engaged in public with the ethics opinions its buyers are bound by?
The terms say Ascent is not a law firm or attorney and does not give legal advice, that no attorney client relationship is created or implied, and that privileges from such a relationship can only arise between the customer and its own attorney. They also say Ascent is not a law or compliance firm and may not perform the services of a Compliance Professional, and that using its forms is neither legal advice nor the practice of law. No ABA Formal Opinion 512, state bar opinion or regulator guidance on AI in compliance work is named.
No public material engages with professional conduct or ethics guidance on AI. ABA Formal Opinion 512, Law Society and Solicitors Regulation Authority guidance, and regulator statements on AI use in a compliance function go unmentioned.
The company writes instead about AI rules that bind it as a developer, including the EU AI Act, the NIST framework and OECD principles, and certifies to ISO/IEC 42001. Its news section carries an enforcement report on fines against financial institutions in the second quarter of 2026 and a glossary of AI governance terms. Neither addresses the conduct duties of the people who use the platform.
The website legal notice says site content does not replace professional advice. That speaks to the website rather than to platform output, or to the duties of the compliance officer or lawyer who relies on it.
Billing and Fee Posture
Does the vendor address what happens to the bill when the work takes an hour instead of six?
The home page markets lower costs from removing manual processes, and the compliance page says automation reduces the need for extra full time staff and outside services to track and act on regulatory change. That saving is in headcount and outside spend for an in house compliance team, not hours a firm bills to a client. Nothing addresses how AI assisted regulatory analysis is disclosed when an adviser does the work and bills for it, although the terms expressly allow a law firm to be given shared access to a customer's account. No record of AI assisted work by matter is described.
Clients are compliance, risk and audit teams inside regulated firms, and regulators, so platform use is not billed to a client by the hour. Health and life sciences clients use it for regulatory and submissions work, which also sits outside a legal fee relationship.
Advisers do use the content on client work. In one UK bank's rules mapping exercise, a third party consultancy carried out the mapping with rules supplied by Corlytics. Nothing published addresses how such a firm would disclose AI assisted regulatory analysis to its own client, and no per client record of AI assisted work is described.
Marketing makes efficiency claims, such as approvals 50% faster and compliance costs 30% lower with Policy Management, and an end to manual collection of regulatory updates.
Outside Counsel Guideline Readiness
Can a firm get this vendor through a client’s AI clause without a bespoke negotiation?
Outside the trust center at trust.ascentregtech.com, which carries the SOC 2 attestation, no subprocessor list is published in the terms of service, the security page, the privacy policy or the site navigation. No model provider is identified, and the AI is described only as Ascent's own patented artificial intelligence and natural language processing, so whether any third party model sees customer content is not stated.
No data processing agreement, consent pack or client facing disclosure material is published, and the only route to request any of it is a general contact form. The terms disclose that third party content providers exist without naming them.
No subprocessor list, model provider list, data processing agreement or disclosure pack is public. The privacy notice names recipients only by category, and no model or provider is identified anywhere, so a client cannot state from public material which outside systems see its content.
Clients run their own supplier reviews instead. One reinsurer approved Corlytics as a third party supplier through its own digital governance process, after a requirements and design phase and a proof of concept. The security page invites contact for more on Corlytics' security and resilience procedures, without naming a document that would be shared.
ISO/IEC 27001, the SOC 2 Type 1 report from Thoropass and ISO/IEC 42001 from A-LIGN are named. None of the reports or certificates is posted, and no dates or report periods are given.
Court Disclosure Support
If a judge’s standing order requires an AI disclosure, can the product produce one?
The platform markets full audit trails that track every activity automatically, traceability for audit readiness, and documentation support for regulatory audits and examinations, so a customer can show what was reviewed, when and by whom. Here the relevant tribunal is an examiner rather than a judge. Nothing says the audit trail captures which assessments or summaries were machine generated, what content they drew on, or who verified them. The History Views clause also says an earlier history may become inaccessible and be replaced by an updated view.
The record the platform keeps is built for supervisors and auditors rather than courts. Change management, policy management and compliance monitoring each keep a full audit trail of actions, decisions and approvals. Obligations Management produces gap reports, dashboards and an attestation of how obligations map to policies and controls, and version history shows which text a mapping rested on.
Clients use that record with their regulators. A UK bank uses the platform's reports to show its primary conduct regulator how rules map to its policies and controls, and reports built with Corlytics helped it close out audit findings. In the FCA handbook project, every machine tagging change carried a review, approval or rejection with an audit trail.
The record does not mark which outputs came from a model, which source each summary drew on, or which expert validated it. It shows what the firm decided rather than the part the AI played.
The questions both sides leave open
Derived from the records above rather than written, so it cannot favor either vendor. Take these into both conversations and ask each side the same question.
- Commercial Transparency
- Prompt and Output Retention
- Third Party Request and Subpoena Notice
- Refusal and Uncertainty Behavior
- Outside Counsel Guideline Readiness
Which one fits
Choose AscentAI if
- Your obligations need to flow into an existing GRC system. AscentAI names LogicGate, Onspring, Resolver, MCO and Corestream as integration partners and describes a policy and control engine for pushing changes into GRC.
- You want a stated scale of coverage. AscentAI puts its content at 98 countries, about 1,000 data sources and 400,000 obligations, across banking, crypto, market infrastructure and topics such as privacy and anti money laundering.
- You want the security report through a portal. AscentAI's trust center offers its SOC 2 Type I attestation, and its security program is aligned to the NIST Cybersecurity Framework.
Choose Corlytics if
- You want policies managed next to the obligations. Corlytics includes the Clausematch editor with granular permissions, multistage approvals, version control and AI drafting.
- You want suggested fixes, not just gap flags. Corlytics' language models propose wording to close a gap in a policy or control, for your experts to accept or reject.
- You serve regulators as well as firms. Corlytics sells a Taxonomy Manager edition that turns regulators' handbooks into machine readable, searchable databases.
In summary
AscentAI
AscentAI is a regulatory lifecycle management platform for financial institutions, based in Chicago and formerly called Ascent Technologies. AscentHorizon scans regulatory news, guidance and enforcement worldwide, and AscentFocus builds and maintains the register of obligations that apply to a firm. According to the AI Legal Index, AscentAI states coverage of 98 countries, about 1,000 data sources and 400,000 obligations. It names five GRC integration partners and offers a SOC 2 Type I attestation through its trust center. No pricing is published.
Corlytics
Corlytics is a regulatory intelligence platform from Dublin for banks, insurers, asset managers, payments firms and regulators. Its Obligations Management extracts obligations from rules, filters them to a firm's activities and jurisdictions, consolidates overlaps and maps them to policies, controls and products. According to the AI Legal Index, client experts validate the extraction and mapping before gap reports and attestations are produced.
Questions buyers ask
AscentAI vs Corlytics: how do they differ?
Both build obligation registers for financial firms. AscentAI focuses on the register and on feeding it into named GRC systems. Corlytics extends the register into policy management, controls mapping, compliance monitoring and nonfinancial risk inside its own platform. From the AI Legal Index, based on each vendor's own published materials as of October 12, 2026. No vendor pays for placement.
Which one names its integrations?
AscentAI names five GRC partners, LogicGate, Onspring, Resolver, MCO and Corestream, and describes a policy and control engine for pushing changes into them. Corlytics describes APIs and an Open API for GRC platforms without naming a connector. From the AI Legal Index, based on each vendor's own published materials as of October 12, 2026. No vendor pays for placement.
How much regulatory content does each cover?
AscentAI states 98 countries, about 1,000 data sources and 400,000 obligations. Corlytics cites about 30 million pages of regulation a year from regulators worldwide, in multiple languages, without a country or source count. From the AI Legal Index, based on each vendor's own published materials as of October 12, 2026. No vendor pays for placement.
How does each describe its AI?
AscentAI refers to patented AI and natural language processing, AI summaries and AI impact assessment. Corlytics describes ensemble models with expert oversight, obligation extraction, mapping models and language models that suggest gap fixes. Neither says which models or providers sit underneath. From the AI Legal Index, based on each vendor's own published materials as of October 12, 2026. No vendor pays for placement.
Which banks and regulators use AscentAI or Corlytics?
AscentAI's home page quotes an unnamed compliance executive and shows integration partners rather than customers. Corlytics names the FCA and Arbuthnot Latham in case studies and shows client logos including FINRA, ING and Swiss Re. From the AI Legal Index, based on each vendor's own published materials as of October 12, 2026. No vendor pays for placement.
Neither vendor paid for inclusion, placement or a grade, and neither reviewed this page before it published. Everything on it comes from public material on the dates shown. How the index grades.
AscentAI does not state a parent company. Verdane made a majority investment in Corlytics in 2024, and Corlytics Limited is a wholly owned subsidiary of Green Horizon BidCo Limited. Neither vendor publishes a price, so any cost comparison depends on quotes. Neither vendor reviewed this page.