DataGrail vs Ketch: how they compare in 2026
DataGrail and Ketch are both privacy management platforms for in house privacy, legal and security teams. Both run data mapping, subject requests, consent and assessments, with an AI agent layered on top. The main difference is the contract. Ketch publishes its master services agreement and data processing addendum in full. They bar training on customer data, commit to challenging unlawful government requests, delete data thirty days after the contract ends, and cap liability at a year's fees with an intellectual property indemnity. DataGrail's own site terms state that they do not govern its platform. DataGrail's counterweight is reach and evidence. It documents more than two thousand integrations with developer documentation, and Major League Soccer reports mapping more than 2,500 systems across 30 clubs. Its Vera agent applies consent rules only when a user gives the word.
Which one fits
Choose DataGrail if
- Your personal data sits across hundreds of SaaS tools and internal systems. DataGrail's Live Data Map connects through more than two thousand documented integrations and a prebuilt API to keep a live inventory that feeds your records of processing.
- You want subject requests fulfilled in the source systems. DataGrail's Request Manager automates access and deletion requests across connected applications, and Major League Soccer reports automating more than 200 requests across 30 clubs.
- You want the AI to wait for approval. DataGrail's Vera agent detects new cookies, investigates them and suggests consent rules, then applies them only when a user gives the word, and autofills assessments from platform data on a platform described as single tenant.
Choose Ketch if
- Your procurement team needs the contract before the demo. Ketch publishes its master services agreement and data processing addendum, including a training bar, prior notice of compelled disclosure, 30 day deletion after termination and a warranty to maintain ISO 27001 and SOC 2 Type II.
- You want vendor contracts read against your systems. Ketch's agents read data processing agreements and sub processor lists, extract what each vendor may do with data, cite the clause, and flag where a contract and a system's configuration disagree.
- You want to start free or buy single tenant residency. Ketch offers a free tier, prices paid tiers by unique identities and contacts handled each month, and adds single tenant data residency on its Pro plan.
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.
Vera is marketed as the organizing idea of the product, with the company calling itself an Agentic Data Privacy Platform. Its functions are specific: detecting and investigating new cookies and proposing consent rules, autofilling PIAs, DPIAs, AI risk assessments and transfer impact assessments from platform data, flagging risks with action plans, and answering questions on demand. Without Vera the platform still does its job: the Live Data Map, Request Manager, Consent Management, assessments and Risk Register are the deterministic products the company sold before the agent existed. The privacy policy describes the AI features as features within the Services that the customer initiates, and the company describes Vera as making existing privacy jobs faster.
The AI drives a core capability, and the privacy platform underneath would still work without it. The Ketch Agent Network is described as the orchestration layer powering every product, with agents dispatched for discovery, risk, consent configuration, documentation and reporting, reading contracts and classifying data fields; an AI Governance module is sold alongside. Remove the models and consent capture and enforcement, the permission store, data subject request intake and fulfillment, identity resolution and the regulations hub remain, which is a working privacy platform. The master services agreement defines AI Technology as one component of the Services rather than the Services themselves. The May 2026 Agent Network release is the point at which the AI layer became central to the marketing; the structure is a privacy platform with a model layer.
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.
Assessments are described as evidence based because they draw on the Live Data Map's live system inventory rather than on a survey, set against a static data map that is out of date the moment it is complete. Vera is said to use global privacy context to produce accurate PIAs and DPIAs. No accuracy figure, test set, evaluation, error rate or benchmark is published, and the published material does not address hallucination under any name. Nothing describes what happens when an assessment Vera autofills is wrong, and no correction or review record is described beyond the general approval gate.
Answers are tied to sources, and no accuracy figure is published. The agent network page says the agent answers from what it knows about the customer's systems, configurations and processing activities, that every answer comes with a source, and that what a vendor may do with data is extracted from the legal text and cited to the clause. The regulations hub describes laws, enforcement actions and settlement terms summarized and mapped to where the customer operates. Master services agreement section 7.3 says outputs may be inaccurate, incomplete or inappropriate and must be reviewed and validated before use. No accuracy measurement, test set or evaluation is published. The product cites the customer's own contracts and configurations, and the regulatory content does not name its sources.
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.
Vera will detect new cookies, investigate them and suggest rules, and apply them when the user gives the word, which puts the acting step behind an explicit human decision. The home page names the principle twice more, as AI powered action with human control and as secure AI governed by humans, and the privacy policy describes the AI features as initiated by the customer. A six stage prompt protection scheme is aimed at prompt injection, a risk for an agent reading third party web content and inbound requests. No threshold is published at which Vera acts alone, nothing says which of its actions can be reversed, no confidence signal is described, and the six stages are given as a count without explanation.
The agreement makes the customer the reviewer, and the product offers real review surfaces, but no full control structure is published. Terms section 7.3 makes the customer responsible for reviewing and validating AI outputs before relying on them. The agent network page says the agent flags where a contract's permissions and a system's configuration disagree rather than acting on the mismatch, and that every answer carries a source for review. Data subject request automation keeps an auditable trail for every request, and the Permission Vault keeps consent decisions as auditable evidence. Not published: thresholds for when an agent acts alone, which agent actions run without approval, and any route back after a wrong output beyond the customer's own correction.
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 logo wall includes Major League Soccer, HubSpot, FanDuel, Netgear, Reformation, Dexcom, Okta, GoFundMe, Life360, Vercel, Databricks and Zillow. The testimonials carry names, job titles and employers, and several titles are legal buyers: a Vice President Legal at Poppulo, a Senior Privacy Analyst at nCino, and Associate General Counsel and Data Protection Officer titles on the customers page. Figures are attached to named deployments. Major League Soccer unified privacy across 30 independent clubs, mapping more than 2,500 systems and automating more than 200 data subject requests, and a named customer reports consent policy review time down by over 75 percent since switching. No result carries a date or a measurement period. DataGrail also publishes customer case studies.
Testimonials carry no attribution, and the only figure is aggregate scale. The home page carries quotes from legal, marketing and privacy operations teams, including that Ketch is software lawyers can use, without a named person or organization, and the figure of 67.2 billion consent transactions a month used across the site is a scale claim rather than a deployment outcome. A Customers page and customer stories are linked in the navigation.
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 home page states that there is no training on your data, and the privacy policy adds that DataGrail does not permit AI service providers to use customer data to train their AI or machine learning models. The platform is described as single tenant, and customers provision cloud storage in their own environments with limited permissions granted to DataGrail, which keeps much customer content outside the vendor's estate. DataGrail is the processor of all Customer Data and the controller only of visitor and account data. Encryption is AES-256 at rest and TLS 1.2 in transit. Privilege and work product are not addressed, although the buyer is often in house counsel. Customer data is used to generate outputs and to operate and improve the Services, a phrase that does not name training but is broader than the home page line. The agreement that governs the product is not published, so none of these commitments is contractual.
Most commitments are in the published agreement, and privilege is not addressed. Master services agreement section 7.2 says Ketch will not, and will not let any third party, use customer data to train AI or machine learning models, with Feedback and Usage Data carved out for improving its AI Technology. The DPA states a multi tenant environment, Ketch's home page lists role based access, SSO and SCIM, and the Pro plan adds single tenant data residency. DPA Schedule 3 keeps data for the life of the contract plus thirty days, then deletes or anonymizes it automatically, and DPA section 9 gives destruction or return on written request. Section 7.2 binds third party model providers on training, and the DPA commits subprocessors to the government access protections of the standard contractual clauses. The DPA says a current subprocessor list with countries is published at a stated URL. Nothing addresses privilege or work product.
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 of service carry a clause headed as a disclaimer that the offering is not a substitute for legal advice, stating that the content, products, resources and services made available through the Site are not intended to provide legal advice. The same terms open by stating that they do not govern the subscription services on the DataGrail Platform, so the disclaimer covers the marketing website, not the software that autofills data protection impact assessments and generates recommendations for a legal team. Nothing published says where the tooling stops and legal judgment begins in the Platform, or what a privacy lawyer must review before relying on an assessment Vera drafted. No professional obligation is named, and no jurisdiction limit is stated for the product's regulatory conclusions. The Master Services Agreement that governs the Platform is not published.
Ketch takes a clear position on advice versus tooling, but says little about a supervising lawyer's duties and names no jurisdiction limits. Master services agreement section 3.4 states that the services, documentation and any communication from Ketch are not intended and should not be taken as legal advice, and section 9.2 that outputs are not to be relied on as a substitute for professional advice; section 7.3 requires the customer to validate AI outputs for accuracy, legality and compliance and bars representing them as made by a person. The buyer is stated as privacy, legal and security teams. Nothing addresses how the product supports a supervising lawyer's duties beyond the review obligation, and no jurisdiction limit is named beyond the export control bar in section 3.3.
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.
Four specific commitments are published: no training on customer data, no permission for AI service providers to train on customer data, a six stage prompt protection scheme, and human governance of agent action. The company also sells AI governance as a product, with a DataGrail for AI Governance solution and AI risk assessments in its assessment suite, and publishes no governance framework for its own AI. There is no responsible AI page, no named owner accountable for Vera's behavior, no description of evaluation or red teaming before release, no published results and no model card. Nothing addresses bias, although Vera's risk flags and assessment drafts shape what a privacy team investigates. The six stages are given as a number and never described.
A governance commitment is made without a published mechanism, testing regime or accountable owner. Master services agreement section 7.1 states that Ketch designs and operates its AI Technology with commercially reasonable measures consistent with industry practice and maintains policies and processes reasonably designed to assess and mitigate material risks, which is a contractual undertaking to have a governance process rather than a description of one. Ketch also sells an AI Governance product, which governs the customer's AI rather than describing Ketch's own. No framework, ISO 42001 or equivalent, description of testing before release or statement about uneven output is published.
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.
Two factor authentication runs through Okta, Google SSO and other providers, customers provision cloud storage with limited permissions granted to DataGrail, and data is encrypted with AES-256 at rest and TLS 1.2 in transit. Backups are daily and encrypted, the recovery time objective is 24 hours, and a public status page records past incidents. Penetration tests run every six months with issues handled within a day, alongside a bug bounty program. Service providers are named at length in the privacy policy, and the AI processing route is identified. Transfers use Standard Contractual Clauses or the EU-U.S. Data Privacy Framework. Retention commits only to keeping data as long as necessary, with anonymized data kept as long as DataGrail decides is commercially necessary. The security page was last modified in November 2022, before the agentic product, and none of the single tenant, no training or prompt protection claims appear on it.
Retention, deletion, access control, subprocessors and incident practice are all published and specific, in the DPA of 7 May 2026 and its Schedule 3. Customer data is kept for the life of the contract and thirty days, then deleted or permanently anonymized by an automated process; server logs are kept twelve months, and free services carry no retention obligation. DPA section 9 gives destruction or return on written request, and terms section 12.5 fixes the thirty day window. Access control covers formal provisioning and removal, regular access reviews, staff confidentiality agreements and annual training, TLS 1.2 and 1.3 in transit, SSE-S3 encryption at rest and a named data protection officer. DPA section 5.2 publishes a current subprocessor list with countries at a stated URL, with notice of additions by subscription and a thirty day objection right. DPA section 7 commits to incident notice without undue delay, with cause and remediation. Schedule 3 states a six hour recovery point and twenty four hour recovery time objective, annual penetration testing and annual restoration tests.
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 terms of service govern the datagrail.io website and say in their first paragraph that they do not govern the subscription services on the DataGrail Platform. Those are subject to a Master Services Agreement executed with each subscribing customer, which is not published. The site terms allocate loss for website use only: the as is disclaimer, the exclusion of consequential, incidental, indirect, exemplary, punitive and special damages with no cap stated, and an indemnity running only from the user to DataGrail. No indemnity, cap, warranty on output, service level or insurance position for the Platform is published.
What Ketch stands behind is published and specific, including that it stands behind nothing on wrong output. Master services agreement section 10.1 gives an IP infringement indemnity with the exclusions in 10.2 and the remedies in 10.3, ending in termination with a pro rata refund; section 11.1 caps each party's aggregate liability at fees paid in the preceding twelve months and 11.2 excludes indirect loss including loss of data; section 9.1 warrants material conformity to documentation with the exclusive remedies in 12.3 and 12.4; section 7.3 places all responsibility for AI outputs on the customer and 9.2 disclaims warranties of accuracy and reliability; section 13 removes indemnity, warranty and, where enforceable, all liability for free services, with a cap of one thousand dollars otherwise. No insurance is stated, and order forms and the DPA prevail over the MSA on conflict.
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.
More than two thousand connections are published, each with its own page, with Salesforce, Okta, Shopify, Zendesk and Webflow surfaced in the navigation and the full catalog browsable. The integrations feed the Live Data Map so that systems holding personal data are detected and cataloged automatically as they come online, and they carry data subject request fulfillment out to connected applications so access and deletion happen in the source systems. Coverage is stated across third party SaaS, internal databases and warehouses, and home grown systems reached through a prebuilt API. A separate developer documentation site is published, and identity integration names Okta and Google SSO for authentication. The underlying mapping technology is covered by an issued United States patent. The connected systems are the marketing, support and data stack rather than a document management system.
Real integrations, documented, with depth described for some. The agent network page names Braze and Snowflake among hundreds of SaaS connections and says what the connection does: it classifies every field by sensitivity, category and purpose and keeps the inventory current as the stack changes. Public documentation is published at docs.ketch.com, and an Integrations page is linked in the navigation. The connections run to data systems, CRMs and marketing platforms, not to document, matter or electronic billing systems. For a privacy platform sold to an in house team, those data systems are the relevant estate.
Deployment Model and Data Residency
Where the software runs and where the data sits. Multi tenant cloud, single tenant, private deployment, on premises, and whether region of residence is a published option or an enterprise conversation.
The platform is described as single tenant. Residency is stated in the privacy policy: DataGrail is a Delaware corporation with offices in the United States that collects, processes, transfers and stores data within the United States, with European transfers under Standard Contractual Clauses or the EU-U.S. Data Privacy Framework. The security page adds a distinction between processing and storage, since customers provision cloud storage in their own environments with only limited permissions granted to DataGrail. No region options are offered and no cloud region is named. The single tenant claim appears once, as three words on the home page, with no supporting description, including on the security page.
The tenancy model is stated clearly, and the residency detail is partial. DPA section 6.2.2 says Ketch runs a multi tenant cloud environment. Schedule 3 says the infrastructure runs on Amazon Web Services across multiple availability zones, with backups in a separate geographic region, and Ketch's home page says the Pro plan adds single tenant data residency. No region is listed, and nothing states where model processing happens as distinct from storage. The transfer provisions in DPA section 12 assume transfers from Europe to the United States under standard contractual clauses or the Data Privacy Framework.
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.
Both the trust center and the security page carry a heading reading Certifications followed by an image of logos, with no text. No framework is named in words, and no auditor, certifying body, scope, observation period, report date or route to obtain a report is given, including on request. The security page also describes practices: penetration tests every six months with issues handled within a day, a bug bounty program with a published reporting route, and a public status page recording past incidents. The trust center is a hub of links to the privacy policy, terms, security page and data rights portal rather than a document portal. The security page was last modified in November 2022.
Certification is stated, kept up under the contract and evidenced on request, and no report is available without asking. DPA section 6.2.1 says Ketch holds ISO 27001 certification and SSAE 18 SOC 2 Type II reports for the Services and will maintain them for the term, with reports available on written request under confidentiality. Schedule 3 adds ISO 27001:2022, annual independent assessment and annual penetration testing, and the home page adds ISO 27701. A trust center exists at trust.ketch.com. No auditor or coverage period is stated.
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 privacy policy has a dedicated AI Enabled Service Providers section. It states that DataGrail uses AI services available through Amazon Web Services to process information customers submit, solely on its behalf and under its instructions, and that DataGrail does not permit AI service providers to use customer data to train their AI or machine learning models. No model, version, family or model provider behind the AWS layer is identified. No location for inference is stated beyond the general United States processing commitment, and no commitment to notify customers when the model or provider changes is published. Vera is the agent's product name.
Ketch refers to AI Technology and underlying models without naming what sits underneath. The master services agreement defines AI Technology generically, section 7.4 refers to Ketch's underlying models and algorithms, and the privacy policy lists AI and machine learning services as a category of service provider. No model or model provider is named in the agreement, the DPA or the privacy policy. DPA section 5.2 says a current subprocessor list with identities and countries is published at ketch.com/subprocessors, with notice of additions by subscription.
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 main navigation carries Product, Solutions, Customers, Resources and Company, and no pricing entry appears there or in the footer. Calls to action on the site lead to a demo request or a contact form. Nothing states whether charging runs per seat, integration, data subject request, domain or entity, and no figure, band or range appears. Older solution pages describe a self service Privacy Control Center that can be bought as a complete solution or à la carte, with no number, unit or term. No self service purchase route appears on any current page.
The unit and structure are stated in the agreement without a figure. Master services agreement section 5.2 bases fees on the plan and usage limits in the order form, measured monthly, with defined units of Unique Identities and Contacts and automatic movement to the next plan on overage. Section 5.1 gives sixty days' notice of renewal price changes. Section 12.2 renews for the longer of the initial term or twelve months, with thirty days' notice of nonrenewal, and section 13 governs a free tier, Ketch Free, offered without warranty. Ketch's home page names a Pro tier with single tenant residency, and a pricing page is linked in the navigation.
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 product is sold separately to Legal and to Security, each with its own solution page. Regulation pages cover the EU GDPR, the California Consumer Privacy Act, the California Delete Act, the Colorado Privacy Act and the Virginia Consumer Data Protection Act, plus a guide to United States privacy laws generally. Use case pages cover responsible data discovery, records of processing activities, do not sell and share, AI governance, retail and managed services. The platform is pitched at privacy teams from one person to twenty one. No regulation, jurisdiction or type of organization is named as out of scope, and the named regimes are United States law plus the GDPR.
Buyers are stated as privacy operations, legal, security and marketing teams, with industry solutions for retail and ecommerce, technology, financial services, healthcare, communications and media, automotive, travel and hospitality, and education, and regulatory coverage stated as GDPR, CCPA and CPRA, emerging US state laws through a US Privacy Law Atlas, and privacy and AI laws generally. No jurisdiction, regulation or industry is named as unsupported, and no law firm use is described.
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 home page commits to no training on your data, and the privacy policy adds that DataGrail does not permit AI service providers to use customer data to train their AI or machine learning models. The site terms of service state that they do not govern the DataGrail Platform, and the Master Services Agreement that does is executed per customer and not published, so the position rests on policy rather than contract. The privacy policy says customer data is used to generate the requested outputs and to operate and improve the Services, which does not name training or machine learning for DataGrail's own account.
It also permits creating anonymized, aggregated, statistical and benchmark data used to help develop and market products.
The commitment is in the agreement. Master services agreement section 7.2 of 7 May 2026 provides that Ketch will not, and will not permit any third party to, use any customer data to train any artificial intelligence or machine learning model. The clause carves out Feedback, which it illustrates as thumbs up or thumbs down labeling of AI suggestions, and Usage Data, defined in section 6.3 as log data and metadata, both of which Ketch may use to train and improve its AI Technology; section 6.5 separately permits aggregated deidentified data for reports. Customer data is defined to include outputs produced by the services.
Prompt and Output Retention
How long does the product keep what a lawyer typed, and can that be set to zero?
A dedicated section of the privacy policy retains account data as long as necessary to provide services and visitor data until the visitor opts out, and says DataGrail keeps personal data no longer than reasonably necessary for each disclosed purpose. No category has a number of days or months, and nothing addresses prompts, generated assessments or agent outputs as a class. Anonymized and pseudonymized data is kept as long as DataGrail determines it is commercially necessary for its legitimate business interests.
Individuals can request deletion through a published rights portal, and backups are daily with a 24 hour recovery objective.
A specific period is published and the customer cannot change it during the term. DPA Schedule 3 states that customer data, which the agreement defines to include outputs, is retained for the life of the contract and thirty days thereafter, after which an automated process deletes or permanently anonymizes it except for what law requires to be kept; terms section 12.5 repeats the thirty day window. DPA section 9 gives destruction or return on written request after the services end, and server logs are retained twelve months.
Nothing states a shorter or configurable window for prompts to the agents during the term, and free services carry no retention obligation at all.
Ethical Walls and Matter Segregation
Does retrieval respect the firm’s ethical walls, or can the model read across them?
The platform is described as single tenant, so customer estates are not commingled at the tenancy layer. The security page adds that customers provision cloud storage in their own environments and grant DataGrail only limited permissions, so much of the customer's data never leaves its own estate. Authentication is delegated, with two factor authentication through Okta, Google SSO and other providers, and DataGrail integrates with identity management services rather than holding username and password data.
No role model, permission scheme or administrator function is described, and nothing addresses separation between business units, subsidiaries or engagements inside one customer tenant.
The product keeps its own permission model and describes it. DPA section 6.2.2 states that Ketch operates a multi tenant cloud environment, Ketch's home page lists role based access control, SSO and SCIM as standard, and the Pro plan adds single tenant data residency; DPA Schedule 3 describes a formal access provisioning lifecycle with regular access reviews. That is separation at the tenant level with documented access control; nothing describes how the agents' retrieval respects role permissions within a tenant.
Third Party Request and Subpoena Notice
If someone subpoenas the vendor for a firm’s data, does the firm hear about it first?
The privacy policy allows personal data to be disclosed as required by law, such as to comply with a subpoena, court order or government request, including a search warrant or similar legal process. For such requests, DataGrail will use commercially reasonable efforts to notify the customer about law enforcement or court ordered requests for data, unless prohibited by law. Unlike the site terms, the policy covers both the Site and the Services, and it identifies DataGrail as the processor of all Customer Data. No transparency report of government or third party requests is published.
The published agreement commits to notice and to challenging unlawful requests. Master services agreement section 8.3 requires prior notice of any compelled disclosure of confidential information, where legally permitted, with help to contest it. DPA section 8.1 requires prompt notice of any legally binding request for access by a public authority, with a summary of its nature. Where notice is prohibited, Ketch must seek a waiver; it must challenge any request it concludes is unlawful, seek interim measures, disclose the minimum permitted, and give notice of any direct access by a public authority.
Schedule 1 section 1.12 routes notice to the customer rather than the data subject. No transparency report is published.
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 listed with pages for the EU GDPR, the California Consumer Privacy Act, the California Delete Act, the Colorado Privacy Act and the Virginia Consumer Data Protection Act, and a general guide to United States privacy laws. The consent product is sold on real time regulation updates that show the correct banner for the regulations active in a visitor's area, and Vera is said to use global privacy context when drafting assessments.
No regulatory data source, law firm, publisher or feed is named, no update cadence is published for the rules driving consent enforcement, and no licensing basis is stated for regulatory content reproduced in templates or assessments.
Coverage is described by jurisdiction without identifying the underlying sources. The regulations hub and the US Privacy Law Atlas describe laws, enforcement actions and settlement terms synthesized and mapped to where a customer operates, covering GDPR, CCPA, CPRA and US state laws, and the agents draw on the customer's own contracts and configurations with citations to the clause. Nothing states where the regulatory text is sourced, under what license, or how often it is refreshed beyond the claim that it is synthesized as it lands.
Good Law Verification
Does the product tell you when the authority it just cited has been overruled?
The product does not retrieve, cite or interpret primary legal authority: it maps personal data, fulfills data subject requests, enforces consent and drafts assessments against regulatory regimes it has encoded. The consent product offers real time regulation updates so banners track the regulations applying to each visitor, but nothing states how or how often that content is refreshed, nothing carries an effective date or version, and nothing flags when a regime a customer has configured against has changed.
No public material addresses whether authority is checked for later history, and the product cites no case law: its regulatory content is statutes, regulations and enforcement actions, and its agents cite the customer's own contracts. The product has no citator function.
Refusal and Uncertainty Behavior
What does the product do when the answer is not in the corpus?
Vera suggests consent rules and applies them when the user gives the word, the privacy policy describes the AI features as initiated by the customer, and the home page frames the model as AI powered action with human control. Nothing describes an abstention path, a way of returning no answer, a confidence or grounding indicator on an autofilled assessment, or a flag where Vera lacks the evidence to complete a field, although assessments are marketed as evidence based. The six stage prompt protection scheme addresses adversarial input rather than uncertainty.
Nothing published describes what the agents do when they cannot ground an answer. The agent network page states that every answer carries a source and that the agent flags where a contract's permissions and a system's configuration disagree, which is a mismatch alert rather than an abstention path, and terms section 7.3 places validation on the customer. Nothing describes a confidence signal or what happens when there is no answer.
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 kept by Damien Charlotin holds no entry naming DataGrail or Vera. DataGrail drafts privacy assessments and manages data subject requests rather than producing court submissions.
The AI Hallucination Cases database maintained by Damien Charlotin records no court order, opinion or disciplinary record naming Ketch or Ketch Kloud, Inc., and the court findings it does record involve general purpose chatbots, none of them this product. A privacy platform that cites no case law carries remote exposure here.
Bar Guidance Alignment
Has the vendor engaged in public with the ethics opinions its buyers are bound by?
Statutes and regulations are named throughout, as the subject matter of the compliance work. The home page, the legal teams solution page, platform pages, trust center, security page, terms of service and privacy policy cite no bar association, law society, data protection authority guidance, European Data Protection Board opinion or professional body publication. Nothing addresses the professional responsibilities of the in house counsel or Data Protection Officer who is the named buyer when relying on an impact assessment drafted by AI. The company runs a practitioner community and publishes an annual privacy trends report.
No public material engages with bar or ethics guidance. The master services agreement disclaims legal advice and requires human validation of AI outputs, and the regulations hub engages extensively with privacy statutes and enforcement, but the terms, the home page and the regulations hub name no ethics opinion, bar rule or professional responsibility framework.
Billing and Fee Posture
Does the vendor address what happens to the bill when the work takes an hour instead of six?
A named customer reports consent policy review time down by more than 75 percent after switching, assessments are marketed as taking minutes rather than months, and managed services are sold on freeing legal, security and privacy teams from daily operations. Nothing addresses what happens to a bill, a budget or an internal chargeback when that work compresses, and no per matter or per request record of work done with AI is described.
The buyer is an in house team rather than a firm billing a client, and the managed services offering states nothing on fees either.
The buyer is an in house privacy, legal or security function that bills no client, so the product sits outside a fee relationship between lawyer and client. The vendor's own charge is a tiered subscription on Unique Identities and Contacts per the master services agreement, and its published savings framing is operational: the processing record that took weeks is now maintained continuously. Nothing addresses how AI assisted work is recorded or disclosed on any bill, and no law firm is a named buyer segment.
Outside Counsel Guideline Readiness
Can a firm get this vendor through a client’s AI clause without a bespoke negotiation?
The privacy policy names service providers by function, covering Datadog, Google Analytics, Matomo and Vimeo for analytics and hosting, Gong, Outreach, HubSpot, Unbounce, Sendoso, ZoomInfo, G2, Clay, Storylane and 6sense for sales and marketing, Twilio for notifications and Bill.com for payments. The policy is published openly and offered as a downloadable PDF, so it can be forwarded to a client without an agreement.
On the AI, DataGrail states it uses AI services available through Amazon Web Services and that those providers may not train on customer data; no model provider is named. No dedicated subprocessor register, data processing addendum, or consent or notification pack for a client's AI clause is published.
A current subprocessor list is published. DPA section 5.2 says the list, with identities and countries, is kept at a stated URL with notice by subscription before any new subprocessor handles personal data, and section 5.3 gives a thirty day objection right. The DPA itself is published in full and drafted to be executed by reference.
Court Disclosure Support
If a judge’s standing order requires an AI disclosure, can the product produce one?
The platform generates the artifacts a regulator asks for: records of processing activities kept current from a live data map, a documented trail of data subject request fulfillment across connected systems, completed impact assessments, a risk register with remediation status, and consent transaction records. A published status page carries incident history. Nothing states that content Vera drafts or suggests is marked as AI output in the record, and no model or version is captured against an autofilled assessment field.
No record of what a human reviewed, edited or rejected before approving is described as exportable, and no guidance covers disclosing AI involvement to a supervisory authority.
No public material addresses court disclosure or verification certification of AI assisted work. The platform keeps auditable trails for data subject requests and consent decisions and the agents cite sources for their answers, but those are records of privacy operations rather than a record for each document of the model used, sources retrieved and human verification, and the product produces no work product for a court.
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.
- Good Law Verification
- Refusal and Uncertainty Behavior
- Bar Guidance Alignment
Product updates
The latest logged changes from each vendor, newest first, each linked to its source.
DataGrail
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Product / capability
Suggestions from Vera, DataGrail's AI agent, on privacy assessments now link to the documents they came from.
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Security / compliance
DataGrail extended IP allowlisting beyond user sign in to API keys, Agents and external MCP clients such as Claude Desktop and Cursor, with a separate set of approved IP ranges for each access path.
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Product / capability
DataGrail added automatic high risk detection for data protection impact assessments, which fills Records of Processing Activities forms by identifying AI use, biometric data and targeting of vulnerable individuals.
Source
In summary
DataGrail
DataGrail, founded in 2018 and based in San Francisco, is a privacy management platform for in house legal, privacy and security teams. Its Live Data Map keeps a live inventory of where personal data sits, Request Manager automates data subject requests, and Consent Management enforces consent by regulation. Assessments and a risk register sit alongside, with Vera, an AI agent that suggests consent rules for approval and autofills assessments. According to the AI Legal Index, DataGrail documents more than two thousand integrations, states single tenant hosting and US data processing, and names Major League Soccer, HubSpot and Okta among customers.
Ketch
Ketch, from Ketch Kloud, Inc. of San Francisco, is a data privacy management platform. It covers consent, data subject requests, data mapping, risk assessments, preference management and AI governance, with a permission store that carries consent into connected systems. Its Agent Network classifies data fields, reads vendor contracts and cites the clause behind each answer. The AI Legal Index records that Ketch publishes its master services agreement and data processing addendum in full, holds ISO 27001 and SOC 2 Type II, and offers a free tier. No model provider or AI governance framework is named.
Questions buyers ask
DataGrail vs Ketch: which privacy platform is better?
The difference is mostly the contract. Ketch publishes its customer agreement and data processing addendum. DataGrail documents a larger integration network and names customers with figures. Teams whose procurement needs the contract terms up front have more to read from Ketch. From the AI Legal Index, based on each vendor's own published materials as of September 26, 2026. No vendor pays for placement.
Do DataGrail and Ketch train AI on customer data?
Ketch's master services agreement states that it will not, and will not permit any third party to, use customer data to train AI models, while allowing feedback and usage logs to improve its AI. DataGrail's home page says there is no training on customer data, and its privacy policy bars its AI providers from training. From the AI Legal Index, based on each vendor's own published materials as of September 26, 2026. No vendor pays for placement.
Which AI models do DataGrail and Ketch use?
DataGrail's privacy policy says it uses AI services available through Amazon Web Services, without naming the model or its maker. Ketch's agreement refers to its AI technology and underlying models generically. Its separate sub processor list may name providers. From the AI Legal Index, based on each vendor's own published materials as of September 26, 2026. No vendor pays for placement.
Where do DataGrail and Ketch host data?
DataGrail states that it processes and stores data in the United States, describes its platform as single tenant, and has customers provision some storage in their own cloud environments. Ketch runs a multi tenant environment on Amazon Web Services across several availability zones, with single tenant data residency on its Pro plan. From the AI Legal Index, based on each vendor's own published materials as of September 26, 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.
Three points to weigh. Ketch's agreement caps its liability at a year's fees and places all responsibility for AI output on the customer, and those are published terms. DataGrail's security page was last modified in November 2022 and shows its certifications only as an image of logos, with no framework named in words. Ketch publishes a sub processor list and a pricing page separately. Neither vendor reviewed this page.