DataGrail is a privacy management platform that runs the statutory data protection program for an in house legal, privacy or security team. Its Live Data Map connects to a customer's systems and keeps a live inventory of where personal data sits, which then feeds the records of processing activities. Request Manager automates data subject requests across connected applications. Consent Management runs consent banners that adapt to the regulations applying to each visitor, Privacy Assessments produces PIAs, DPIAs, AI risk assessments and transfer impact assessments, and a Risk Register tracks the issues found.
Across all of it sits Vera, a named AI agent that suggests consent rules and applies them once the user approves, autofills assessments from the platform's own data, flags risks and answers questions. Coverage is organized by regulation, with pages for the EU GDPR, the CCPA, the California Delete Act, the Colorado Privacy Act and the Virginia CDPA, and the platform is sold to both legal and security teams. More than two thousand integrations underpin the automation.
DataGrail, Inc. is a Delaware corporation based in San Francisco, founded in 2018, and states that it processes and stores data within the United States.
Side by side on the same 15 capability axes and 12 legal signals: where the two part company, and what neither one publishes.
Vendors in the same categories as DataGrail 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.
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.
All 15 axes, graded from public sources on the date shown. Hover a grade to see what the letter means on that axis.
How much of the product is actually AI. Whether the machine learning is the mechanism the buyer is paying for or a feature layered onto conventional software, and whether the vendor is specific about which is which.
A named, integrated agent sitting on a substantial conventional platform. 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.
That is a real layer, described in the vendor's own current material. It is not the mechanism being bought. 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, rather than as the Services.
The company's own framing agrees, describing Vera as making existing privacy jobs faster rather than doing something the platform could not otherwise do.
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.
Accuracy is asserted without measurement, and grounding is described in terms of architecture rather than method. The grounding claim is the product's central pitch: 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.
None of that is a measurement. No accuracy figure, test set, evaluation, error rate or benchmark is published, and hallucination is not addressed under any name on any surface read. That is a notable gap on a product that drafts the assessments a regulator may later read. Nothing describes what happens when an assessment Vera autofills is wrong, and no correction or review record is described beyond the general approval gate.
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 approval gate is published as a design principle and appears in the product description, not only in marketing. The clearest statement is operational: Vera will detect new cookies, investigate them and suggest rules, and apply them when you give 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.
The privacy policy confirms it from the legal side by describing the AI features as initiated by the customer. One further control is published: a six stage prompt protection scheme aimed at prompt injection, a real risk for an agent reading third party web content and inbound requests. The rest of the structure is absent. 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.
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.
Named customers with attributed quotes and real figures, but no dated results. The logo wall is substantial and identifiable, including 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, and the customer case studies were not opened and may say more.
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.
Substantive commitments across most areas, none of them contractual, because the agreement that would carry them is not published. Training: 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. Architecture: 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.
Roles are stated, with DataGrail 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. Two areas are missing. Privilege and work product are not addressed at all, which matters because the buyer is often in house counsel. And DataGrail's own use is qualified: 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 marketing line suggests.
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.
A disclaimer exists and is expressly scoped away from the product. The terms of service carry a clause headed as a disclaimer that the offering is not a substitute for legal advice. It states 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 advice 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 gap is structural, since the document that would carry it is not published.
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.
Real published positions on AI conduct, with no framework, owner or testing behind them. Four specific commitments exist: 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, yet 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, which has a concrete shape here, since Vera's risk flags and assessment drafts shape what a privacy team investigates. The six stages are asserted as a number and never described.
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.
Substantive and specific across most of the ground, with one vague area and a stale primary page. Access control is well covered: two factor authentication through Okta, Google SSO and other providers, cloud storage that customers provision with limited permissions granted to DataGrail, and AES-256 at rest with TLS 1.2 in transit. Resilience is quantified, with daily encrypted backups, a stated 24 hour recovery time objective and a public status page recording 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 is the weak area, committing 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, so it predates the agentic product, and none of the single tenant, no training or prompt protection claims appear on it.
What the vendor stands behind contractually when its output is wrong. Indemnities, caps, carve outs, insurance, and whether any of it is published or only reachable through a negotiated agreement.
No agreement governing the product is published, and the vendor says so in the first paragraph of the only agreement it does publish. The terms of service govern the datagrail.io website and expressly 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 anywhere. Everything the site terms contain therefore allocates 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 could be located. A legal team buying a tool that drafts its impact assessments cannot read the allocation of loss before entering a sales process.
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 integration network is the product's engine and it is documented at the level an implementer works from. More than two thousand connections are published, each with its own page rather than appearing as a logo, with Salesforce, Okta, Shopify, Zendesk and Webflow surfaced in the navigation and the full catalog browsable. What the integrations do is described rather than asserted: they 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 is specific, naming Okta and Google SSO for authentication. The underlying mapping technology is covered by an issued United States patent, which is a verifiable fact rather than a claim. For this product class the connected systems are the marketing, support and data stack rather than a document management system, and that is the correct surface to integrate with.
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.
Both tenancy and residency are stated, and neither is developed. The platform is described as single tenant, which for an AI product handling personal data inventories is the answer a security reviewer wants. 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. What is missing is choice and detail. No region options are offered, so a European buyer is told where the data goes rather than given an alternative, and no cloud region is named. The single tenant claim appears once, as three words on the home page, with no supporting description anywhere, including the security page.
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.
Certifications are claimed by picture only. Both the trust center and the security page carry a heading reading Certifications followed by an image of logos, with no text anywhere. No framework is named in words, and no auditor, certifying body, scope, observation period, report date or route to obtain a report is given, not even on request. A badge image alone is not an attestation, and the vendor has not written a single sentence about what it holds.
What is real sits elsewhere on the same page and is a practice rather than a certificate: 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.
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.
One real disclosure that names the route and not the models. 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. It also states that DataGrail does not permit AI service providers to use customer data to train their AI or machine learning models.
The constraint is useful and the processing route is identified. Naming the cloud through which AI services are bought says where inference is purchased, not whose model performs it. 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 a product name for the agent, not a disclosure of what powers it.
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. There is no pricing page anywhere on the site: the main navigation carries Product, Solutions, Customers, Resources and Company, and no pricing entry appears there or in the footer. Every call to action on every page read leads 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, which describes a purchasing shape without any number, unit or term. No self service purchase route is published from any current page.
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.
Segmentation is published along three lines, each specific. By team, the product is sold separately to Legal and to Security, each with its own solution page. By regulation, coverage is listed rather than gestured at, 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, plus a guide to United States privacy laws generally.
By use case, pages cover responsible data discovery, records of processing activities, do not sell and share, AI governance, retail and managed services. Team size is addressed directly, with the platform pitched at privacy teams from one person to twenty one. What is missing is the boundary. Nothing states which regulations or jurisdictions fall outside the product, the named regimes are United States law plus the GDPR, and nothing says which organizations the product is not built for.
The public pages on file for DataGrail, 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.
Prompt and Output Retention, Third Party Request and Subpoena Notice
Read Sep 4, 2026
Fabricated Citation Record
Read Sep 4, 2026
Client Data in Training
Read Sep 4, 2026
Ethical Walls and Matter Segregation
Read Sep 4, 2026
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. Enforcement is continuous and every allowlist is off by default until an admin turns it on.
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. The same release adds custom system naming in the Live Data Map, optional fields in the Privacy Requests API, and version 1.3.0 of the Request Manager Agent with JMESPath support.
A 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.
Can material a lawyer puts into this product be used to train a model?
A public policy or trust page states no training on customer content, with no matching term located in the published agreement.
Public material states the position, and no agreement covering the product is published to check it against. 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 only published agreement is the site terms of service, which state that they do not govern the DataGrail Platform.
The Master Services Agreement that does govern it is executed per customer and not published, so the position rests on policy rather than contract. Two qualifiers matter. 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 but is broader than the marketing line. It also permits creating anonymized, aggregated, statistical and benchmark data used to help develop and market products.
How long does the product keep what a lawyer typed, and can that be set to zero?
Retention is acknowledged in public materials with no stated period.
Retention is addressed in a dedicated section and no period is given anywhere. 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. Nothing addresses prompts, generated assessments or agent outputs as a class, a live gap on a product whose AI drafts impact assessments from information customers submit.
One provision runs the other way: anonymized and pseudonymized data is kept as long as DataGrail determines it is commercially necessary for its legitimate business interests, which leaves the period to the vendor rather than the customer. Individuals can request deletion through a published rights portal, and backups are daily with a 24 hour recovery objective.
Does retrieval respect the firm’s ethical walls, or can the model read across them?
The product maintains its own permission model, documented, requiring the firm to keep it aligned.
Separation is built into the architecture rather than into permissions, and the architecture is documented. 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.
What is not published is the layer above. No role model, permission scheme or administrator function is described, and nothing addresses separation between business units, subsidiaries or engagements inside one customer tenant. That is the question a group legal function running privacy for several entities would ask.
If someone subpoenas the vendor for a firm’s data, does the firm hear about it first?
Terms commit to notice where lawfully permitted. No transparency report located.
The privacy policy addresses compelled disclosure and commits to notice. It 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.
The commitment rests on reasonable efforts rather than being absolute, and the exception where the law prohibits notice is the standard one for gag orders. The scope is right, because unlike the site terms this 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 was located on any surface read.
Where does the law in this product come from, and does the vendor have the right to use it?
Coverage is described by jurisdiction with no identification of the underlying corpus.
The regulatory material behind the product is described by regime and never by source. Coverage is listed precisely, 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.
None of that identifies what the context is. 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. Jurisdictions are named; the collection behind them is not.
Does the product tell you when the authority it just cited has been overruled?
No located public material addresses whether authority is checked for subsequent history.
Nothing on any located surface addresses verification of authority. 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 nearest concept is the currency of the vendor's own rule content. 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.
For a compliance product that is the closest analog to a citator, since a consent rule set that has fallen behind a statute fails the way an overruled citation does. Searched the home page, platform pages, trust center, security page, terms and privacy policy on 4 September 2026.
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.
No located public material describes what Vera does when it cannot answer reliably. What is published is a control on action rather than a signal about confidence. 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. Those establish that a human decides, not that the system says when it is unsure.
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. That matters because assessments are marketed as evidence based, and a gap in the evidence is exactly what a reviewer needs to see. The six stage prompt protection scheme addresses adversarial input rather than uncertainty.
Does a public court record exist addressing fabricated or hallucinated legal citations in output from this product?
No court order, opinion or disciplinary record addressing fabricated or hallucinated legal citations produced by this product has been located as of the date shown. This is a statement about the public record on that one subject, not a finding about the product, and this signal is not a litigation history.
The AI Hallucination Cases database maintained by Damien Charlotin was searched on 4 September 2026 on both the product name DataGrail and the agent name Vera. No court order, opinion or disciplinary record naming the product was located. The database tracks fabricated legal citations in court filings, and this product drafts privacy assessments and manages data subject requests rather than producing court submissions, so its exposure to that specific failure mode is structurally low. This records the state of the public record on that date and is not a finding about the product.
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 located public material engages professional guidance or a professional authority. Statutes and regulations are named throughout and in detail, but a regulation is the subject matter of the compliance work rather than guidance on how a lawyer should use software to do it. No bar association, law society, data protection authority guidance, European Data Protection Board opinion or professional body publication is cited anywhere, and 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, which is peer material rather than named guidance. Searched the home page, the legal teams solution page, platform pages, trust center, security page, terms of service and privacy policy on 4 September 2026.
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.
Time and effort savings are claimed and no billing question is engaged. The claims are specific and attributed: 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 question lands obliquely here because the buyer is an in house team rather than a firm billing a client, so there is no external invoice to show the saving. The managed services line is where it would apply, and it is untouched.
Can a firm get this vendor through a client’s AI clause without a bespoke negotiation?
A current subprocessor or model provider list is published.
A long named list of processors is published, and the model providers are not named. The privacy policy names service providers extensively and 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, and the policy is published openly and offered as a downloadable PDF, so it is forwardable to a client without an agreement.
On the AI itself the disclosure identifies the route rather than the provider: DataGrail states it uses AI services available through Amazon Web Services and that those providers may not train on customer data. Naming the cloud says where a model runs and not whose model it is, so the statement of which model providers see customer content is not satisfied. No dedicated subprocessor register, no data processing addendum and no consent or notification pack for a client's AI clause was located.
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.
Producing records is core product function, and none of it is described as covering the AI. The platform exists to generate 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.
A customer can therefore show what its privacy program did and when. What is absent is the model dimension. 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 exists for disclosing AI involvement to a supervisory authority.
The gap matters because an impact assessment is a document a regulator may demand, and its provenance is part of what is assessed.
Every grade and every signal on this index is drawn from public sources and dated. If a record is wrong, out of date, or missing an artifact the index did not locate, send the source and it will be reviewed and the record redated. Vendors are welcome to submit documentation. Nothing on this index is for sale, including a listing, a placement, or a grade.