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Responsiv
Responsiv is a regulatory change platform used by compliance and in house legal teams at banks, broker dealers, asset managers, insurers and consumer technology companies. It monitors regulatory sources across more than 50 jurisdictions, routes changes to the people responsible, and breaks regulatory text into discrete requirements. It maps those requirements to a firm's own policies and controls so that gaps can be assigned, tracked and closed.
Policy Scanner reads an uploaded policy and returns a ranked list of the rules driving it, each with a short rationale and a relevance score a reviewer accepts or dismisses. Policy Manager holds the policy library, and an agentic research feature answers regulatory questions with citations to the regulation, article and paragraph. The platform keeps a timestamped record of compliance decisions for examinations. Responsiv AI, Inc. is a venture backed company based in Chicago, Illinois, and its terms describe the service as an informational system for attorneys, paralegals and legal researchers that does not provide legal advice.
Responsiv, 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 Responsiv
Vendors in the same categories as Responsiv whose graded profiles look most alike, with a line on what each product does.
Similar is not the same, so check that each one does the job you need. No vendor pays for placement.
- CCompliance IntelligenceCompliance Intelligence is a regulatory change and obligation management platform built for United States banking compliance teams.
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- SSixFiftySixFifty is an employment law compliance platform from SixFifty Technologies, LLC of Salt Lake City, sold to HR teams, in house legal departments, HR consultants and PEOs, and startups.
- RRescriptRescript is a Washington, DC company, founded in 2023, that sells AI for legal and public policy work.
- AAscentAIAscentAI is a regulatory lifecycle management platform for financial institutions.
- CCorlyticsCorlytics sells a regulatory intelligence platform to banks, insurers, asset managers, payments firms and regulators.
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.
The models do the interpretive work, and the platform around them would still stand without them. The vendor's material describes the models breaking hundreds of pages of regulatory text into an executable checklist of requirements, mapping those requirements against a firm's policies and controls to surface gaps, and answering regulatory questions with citations. Policy Scanner, released 17 June 2026, reads an uploaded policy and ranks the rules driving it, section by section.
Underneath sits a compliance system a firm could run without any of that: a register of applicable rules, a policy library, alert routing by business unit and jurisdiction, task assignment and an audit trail. Removing the models would leave that system standing.
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.
Output traces to the rule it came from, and no accuracy figure is published. The Platform page says every answer cites the exact regulation, article and paragraph so a reader can verify it in seconds. The Policy Scanner release shows each suggested obligation citing a specific rule, such as 15 U.S.C. section 78m, with a short rationale and a relevance score marking it a direct policy driver or a control reinforcer. Section 3(b) of the Terms acknowledges that machine learning is probabilistic and that use of the service may produce incorrect output that does not accurately reflect real cases or facts.
No measurement is published: no test set, no accuracy figure, and no evaluation of how often a driving rule is missed, on a product sold on exam defensibility.
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.
A person decides, and the decision point is built into the product. The Policy Scanner release says the tool does not replace judgment and that the user still decides what a mapping means. Suggestions arrive as a ranked list a reviewer accepts or dismisses one at a time, with the option to adjust the scope of the analysis with a prompt and regenerate. Section 3(b) of the Terms tells the customer to evaluate output as appropriate, including by human review by a knowledgeable attorney or expert.
Alerts and obligations are routed to named owners who confirm completion. No limit the system imposes on itself is published: nothing states when it declines to suggest, what a low relevance score means in practice, or what its output may not be used for.
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.
Real users speak on the record, and neither the customer nor the result can be pinned down. The homepage carries four quotes with names and titles, three from legal or compliance leaders, including a General Counsel describing lower spending on outside counsel; none names an employer. The one case study, dated 3 June 2026, describes an independent investment bank of about 1,000 employees across the US, UK, Ireland and the EU that built a register of its obligations.
It quotes the bank's Director of Compliance, but the firm is not named and the only figures given are headcount and footprint. Nothing published states time saved, coverage found or any other measured outcome.
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 homepage promises and the agreement point in different directions, and the agreement is what a customer signs. The homepage says data remains the customer's. The Terms of Service let Responsiv train on what a customer puts in, and section 3(a) lets it keep using Output within the service and in its business generally, in both cases unless a separate enterprise agreement says otherwise. The material a firm uploads, including its policies and procedures, sits outside the Privacy Policy, the only published data commitment. Nothing addresses segregation between customers, privilege or work product, or what any model provider may retain.
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.
What the product is and who it is for are stated in full in the Terms. Section 2(d) calls it an informational system intended for attorneys, paralegals, legal researchers and others engaged in legal research. Responsiv is not a licensed attorney, the output is not legal advice, no attorney client relationship forms, and users are told not to disregard or delay professional advice on the strength of it. The review instruction in section 3(b) reaches supervision too.
Jurisdiction is the gap: the platform covers more than 50 jurisdictions, and nothing states where its analysis is reliable, where local qualification matters, or which regimes it does not cover.
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 Responsible AI section sits on the homepage, with nothing behind it that could be audited. It makes three claims: that the models deliver precise, reviewable, audited information specific to the industry, that customer data is never used for training, and that sensitive data can be removed before analysis. No one inside Responsiv is named as accountable for model behavior, nothing describes what is tested before a release ships, and no evaluation results are published.
Nothing addresses whether the models perform unevenly across regulators, jurisdictions or document types, on a product sold for its breadth of coverage.
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.
What is published covers the company's handling of personal data, not the firm's documents. The Privacy Policy, last updated 14 May 2024, describes appropriate technical and organizational security measures, says Responsiv may notify of a breach consistent with applicable law, and keeps personal data only as long as necessary. It then says expressly that it does not apply to Customer Data, which is what a compliance team actually uploads.
The Terms describe collecting performance data that may include Content to monitor and improve the service, and allow parts of it to be subcontracted. No retention period or deletion commitment for uploaded policies, no access control model, no subprocessor list and no incident notification timeline is published.
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.
The published position puts the risk of a wrong answer on the customer. Section 6 of the Terms disclaims all warranties, including fitness, uninterrupted operation, any level of security and any business result, and caps direct damages at one hundred dollars in aggregate across the customer, its employer and its affiliates. Indirect and consequential damages are excluded entirely. Section 5 runs an indemnity from the customer to Responsiv, and none runs back.
No warranty attaches to the requirements, gap findings or citations the product generates, and no insurance position appears. The separate agreement the Terms refer to, which would carry an enterprise allocation, is not published.
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 a compliance or legal team already runs is published. The platform is a place to upload policies, maintain the register and assign work, with dashboards and alerts set per team. Nothing names a connection to a document management system, a GRC or risk platform, a policy repository, email or a ticketing tool, and no API, developer documentation or integrations page exists. The case study describes policies scanned after upload, a manual route in. Searches for integration and API material found none.
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.
Where the software runs and where a firm's policies are stored are not published. The site is specific about regulatory geography, covering all 50 US states, the Americas, Europe, Asia and the Middle East, but that is the coverage of the content rather than the location of the processing. No tenancy model is described, no hosting provider or region is named, and neither the Terms nor the Privacy Policy states a processing or storage location.
The vendor's own case study describes a customer operating across the US, UK, Ireland and the EU, and nothing published answers where such a customer's data would sit.
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. There is no security page and no trust center, and no SOC 2, ISO 27001, named auditor, penetration test or other certification is mentioned anywhere on the site. The only security language is the Privacy Policy's statement that appropriate technical and organizational measures are in place, and its acknowledgment that absolute security cannot be guaranteed. Searches for a trust center or SOC 2 report found none.
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 models are presented as the vendor's own and never identified. No model, version or provider is named, nothing states whether inference runs on Responsiv's own infrastructure or a third party's, and no commitment to notify customers when the models change is published. The Terms reserve the right to subcontract portions of the service without naming anyone. Who processes a firm's policies cannot be learned from the published record.
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 price, rate or unit of charge is published. There is no pricing page in the navigation or the footer, and every route through the site ends at a demo request. The Terms of Service are the only commercial material. They say Responsiv may charge fees at its discretion, create different levels of access and offer free trials, and they refer to a free tier a user may not open multiple accounts to exploit. No tier is named, described or priced, and fees are otherwise left to a separate agreement.
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 buyer and the regulatory scope are set out in detail. Three industry pages address financial services, from banks and broker dealers to asset managers; health and property and casualty insurance; and consumer technology, with rules on minors' online safety, dark patterns and privacy among them. Subject areas are named down to AML, recordkeeping and market conduct, across more than 50 jurisdictions. The boundary is not stated: nothing says which regulators or regimes fall outside the coverage, how current the content is for a given source, or what size of firm the platform is built for.
7 public documents
The public pages on file for Responsiv, 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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responsiv.ai1 signal
Billing and Fee Posture
Read Sep 20, 2026
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responsiv.ai/financial-services1 signal
Primary Law Corpus Provenance
Read Sep 20, 2026
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responsiv.ai/privacy1 signal
Third Party Request and Subpoena Notice
Read Oct 3, 2026
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Good Law Verification
Read Sep 20, 2026
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Court Disclosure Support
Read Sep 20, 2026
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responsiv.ai/terms1 signal
Client Data in Training
Read Sep 20, 2026
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Fabricated Citation Record
Read Sep 20, 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?
The published agreement expressly reserves a right to train on customer content, with no opt out located. Any de identification, anonymization or aggregation qualifier is recorded in the summary.
The Terms of Service, last updated 8 March 2024, reserve in section 4 the right to use what a customer puts into the product to train and improve Responsiv's models, unless a separate enterprise agreement says otherwise. No way to opt out is described. The homepage says the opposite, that customer data is never used to train the AI. The Terms are the document a customer signs, and the separate agreement that could reverse this is not published.
Prompt and Output Retention
How long does the product keep what a lawyer typed, and can that be set to zero?
No located public material states how long prompts and outputs are retained.
No retention period is published for uploaded policies, questions put to the product or generated output, and no deletion commitment applies on termination. The Privacy Policy's retention section covers personal data only. Checked the Terms, the Privacy Policy, the homepage, the Platform page and the June 2026 product posts on 20 September 2026.
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.
Access between users or teams, and separation between customers, are not described. Alerts and obligations can be routed by business unit, topic or jurisdiction, and policies carry an owner, but nothing says how access is restricted. Checked the homepage, the Platform and Financial Services pages, the June 2026 product posts, the Terms and the Privacy Policy on 20 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?
No located term or policy addresses third party requests for customer data.
Personal data may be disclosed under a court order or subpoena with no notice promised, and nothing covers the firm's own content. The Privacy Policy and Terms of Service, both updated 23 September 2026, were read on 3 October 2026. The privacy policy permits disclosure where the law requires it, with no commitment to tell the customer, and does not apply to Customer Data. The Terms do not address legal process at all, so nothing published says what happens if Responsiv is served for the policies and questions a firm holds in the product. Verified 3 October 2026.
Primary Law Corpus Provenance
Where does the law in this product come from, and does the vendor have the right to use it?
Sources are identified without stating the license or rights basis.
Sources are identified by issuer rather than by database. The Platform page describes thousands of regulatory sources across more than 50 jurisdictions. The Financial Services page names the bodies whose material is carried, the SEC, CFTC and Federal Reserve among US regulators and the FCA, PRA and ESMA among international ones, along with self regulatory organizations, exchanges and state regulators, covering acts, regulations, guidance and enforcement actions. No license or rights basis is stated for any of it, and the update cadence is described only as always current.
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.
For regulatory material the currency question is whether a rule is still in force, and Responsiv answers it itself rather than passing through another provider's signal. Obligations in the register are anchored to the live source rule. The case study of 3 June 2026 describes a horizon scanner watching the regulators in scope, so that when one changes a rule the affected obligations and their owners are flagged automatically.
The method is described at that level; no treatment history for individual authorities, and no case law citator, is offered.
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.
Nothing describes what happens when the product cannot find an answer or cannot tie a policy to a rule. Suggested obligations carry a relevance score, but that ranks how central a rule is to the policy rather than how confident the system is, and no abstention path is described. The acknowledgment in the Terms that output may be incorrect comes with a direction to review it. Checked the homepage, the Platform page, the Policy Scanner release, the case study, the Terms and the Privacy Policy on 20 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.
Searched the AI Hallucination Cases database maintained by Damien Charlotin on 20 September 2026 on the product name Responsiv and the corporate name Responsiv AI, Inc. No court order, opinion or disciplinary record naming the product was located. This is a statement about the public record rather than a finding about the product, which is sold for compliance work rather than for court filings.
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 named ethics guidance on lawyers' use of AI is engaged, whether ABA Formal Opinion 512 or a state bar opinion. The informational system statement in section 2(d) of the Terms is the only professional reference. Checked the homepage, the Platform and Financial Services pages, the Resources posts, the Terms and the Privacy Policy on 20 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.
The buyer is the in house compliance or legal team doing its own firm's work, so no client is billed for what the product does and no fee question between lawyer and client arises. The savings claimed are the buyer's own: lower spending on outside counsel in a homepage quote, and in the case study the replacement of a manual mapping exercise that took several days.
Outside Counsel Guideline Readiness
Can a firm get this vendor through a client’s AI clause without a bespoke negotiation?
No located public material supports a client side disclosure obligation.
No subprocessor list, model provider list or disclosure material for clients was located, and the Terms reserve the right to subcontract parts of the service without naming anyone. Searches for a trust center or subprocessor list on 20 September 2026 found none.
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.
The record the product keeps is built for a regulatory examination rather than for a court. Suggested obligations cite the rule they map to and are accepted or dismissed one by one by a named reviewer, and the platform maintains a timestamped record of every compliance decision and an audit trail of assigned work. Nothing records which model produced a suggestion, and no export of AI use and human verification for each document is described.