TrustArc's Governance Suite release 2026.10.1 changes AI Control Review in PrivacyCentral so that adding, removing or replacing evidence on a control automatically starts a new AI review. The AI summary now names each evidence item it read, labels evidence it could not read as unreadable instead of implying the control needs none, and warns when a document is skipped because of its size.
T
TrustArc
TrustArc is a privacy management platform for privacy, legal and compliance teams, sold as a suite of applications. PrivacyCentral runs a privacy program against laws and regulations, Data Mapping, Risk Manager and a Data Inventory Hub track data, and Assessment Manager handles privacy and AI risk assessments. The suite also includes Cookie Consent Manager, a Trust Center product and Nymity Research, a library of regulatory summaries and templates updated daily.
The AI layer, branded Arc Intelligence and Nymity AI, adds a research chatbot over the Nymity library and an assistant in PrivacyCentral. It also offers lookup and autofill of records and assessments, bulk record creation, evidence analysis, translations, cookie research and summary reports. Every AI feature is optional and off until a customer uses it. TrustArc Inc. is headquartered in Walnut Creek, California, and publishes a full legal center.
It includes a government request policy that commits to advance notice, and terms of use for AI features that map each feature to its provider and say customer data is not used for model training. TrustArc states an annual SOC 2 Type II assessment and names the New England Journal of Medicine as a customer.
TrustArc, 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 TrustArc
Vendors in the same categories as TrustArc 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.
- RRed MarkerRed Marker helps enterprise legal, compliance and marketing teams review advertising for regulatory and brand risks.
- BBleeBlee is an AI marketing compliance platform from Blee, Inc. of New York, sold to legal, compliance and risk teams that review marketing, product and sales content, with marketing and…
- SSecuritiSecuriti sells what it calls the DataAI Command Platform, built on a knowledge graph that maps data and AI objects across hybrid multicloud, SaaS and on premises systems, in four pillars…
- SSingleFileSingleFile keeps US business entities in good standing and gives the people responsible for them one place to see everything.
- TTranscendTranscend is a data permissioning and decision layer built to answer one question, whether a given piece of customer data can be used for a given purpose, and to enforce the answer inside…
- TTrustibleTrustible is an Arlington, Virginia company selling an AI governance platform organized around four stages.
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.
TrustArc's Terms of Use for AI Features state that use of any AI enabled feature is strictly optional, that no customer data is processed by AI technologies unless the customer uses such a feature, and that the customer may discontinue them at any time. Table 1 lists the features as assistants, lookups, autofill, similarity search, bulk record creation, translations and summaries layered onto PrivacyCentral, Data Mapping, Assessment Manager, Cookie Consent Manager, Trust Center and Nymity Research, each of which functions as a privacy management, assessment or research product without them. Arc Intelligence reached general availability in December 2025 on a platform in operation for decades.
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.
The AI Terms say TrustArc takes measures designed to ensure accuracy but is not responsible for the quality, accuracy or effectiveness of AI output, and that every output must be reviewed, with a subject matter expert if needed, before use. The NymityAI research chatbot answers from the Nymity library of regulatory summaries and templates, which is licensed content rather than primary law that can be verified without a subscription.
No accuracy figure, test set, evaluation or description of how answers cite their sources is published in the AI Terms or on the product pages.
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.
AI Terms section 2.1 requires the customer to review and validate AI outputs and not rely on them for decision making without human oversight. Section 1.1 requires notice before any AI technology processes customer data and makes every AI feature optional and revocable on request. The features themselves are assistive, with suggestions, lookups, autofill and an evidence analyzer that a user accepts into an assessment or record.
No threshold at which the system acts without a person, no description of what executes automatically, and no route back after an output is wrong beyond the customer's own review is published.
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.
A published case study names the New England Journal of Medicine and its data protection officer, Sean McInnis, describing a migration of a cookie consent tool and the support received, with no measured outcome. A second case study attributes figures to an unnamed Fortune 500 consumer products company: time to compliance cut by up to fifteen percent, privacy program operating expenses reduced by sixteen to thirty percent, and more than three quarters of privacy processes automated, with no method stated. Nothing joins a named customer to a figure, and the AI features are not the subject of either study.
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.
AI Terms section 1.1(b), incorporated into the customer agreement, states that customer data will not be used for AI model training, model improvement or any similar purpose, and 1.1(d) that the third party AI technologies are explicitly opted out of LLM training and used solely to generate responses for authenticated users within the TrustArc environment. Table 1 names the third party providers feature by feature. The subscription agreement gives a thirty day retrieval window after termination followed by deletion, and the AI Terms commit to ceasing AI processing promptly on request.
No statement on segregation between customers or matters, and no treatment of privilege or work product, appears in the AI Terms or on the trust center.
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.
AI Terms section 1.2(b) requires the customer to review all AI output before use, suggesting consultation with an internal or external subject matter expert, and section 2.1 bars relying on outputs for decisions without human oversight. The buyer is stated as privacy and compliance teams. The Nymity library publishes legal summaries and the research chatbot answers from them, and no page says whether those outputs are or are not legal advice. No jurisdiction limit is named.
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.
The AI Terms are substantive on data use, provider transparency, opt out and change notice, but they say nothing about who inside TrustArc is accountable for the AI features, what is tested before a feature ships, or what has been found about uneven output. No responsible AI page, ISO 42001 or equivalent certification, or model evaluation is published in the legal center or on the trust center. The Assessment Manager product sells AI risk assessment to customers, which is governance of the customer's AI rather than TrustArc's own.
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.
On retention, the subscription agreement keeps customer data for thirty days after termination for retrieval and then permits deletion, except for copies the law requires. The trust center privacy notice keeps personal information only as long as necessary and leaves data about people named in customer assessments under customer control. On deletion, the AI Terms commit to stopping AI processing on request. A public subprocessor list gives each one's location, purpose and transfer mechanism, with emailed notice thirty days before any addition and a separate list of affiliates.
On incidents, AI Terms section 1.3 commits to prompt notice of any security incident involving AI processing under the agreement or DPA. The legal center publishes a technical and organizational measures document and a DPA of February 2024. The trust center security page states TLS 1.2 in transit and AES 256 at rest, with intrusion detection and logging.
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.
Section 8.1 of the subscription agreement gives a TrustArc defense and indemnity for third party claims, stated to be its entire liability and the customer's exclusive remedy, with exclusions for modifications, combinations and use that does not comply. Section 8.2 has the customer indemnify TrustArc for customer data and other matters, and section 7.2 warrants core functionality against documentation, no material decrease during the term, measures against malicious code and diligent services.
The terms for users on partner channels cap either party's liability at fees paid for the solution in the previous twelve months. AI Terms section 2.1 gives the AI features the same warranties and exclusions as the solutions, and section 1.2(b) disclaims responsibility for the quality and accuracy of AI output.
Practice Systems Integration Depth
How deeply the product reaches into the systems legal work already lives in: document management such as iManage and NetDocuments, Word and Outlook, contract lifecycle management, matter management, e-billing, and court filing systems.
The subscription agreement contemplates Third Party Applications the customer enables, exchanging data on its behalf, and the Trust Center product page describes pushing documents from content systems, notifying Slack and creating ServiceNow tasks through TrustArc Integrations. No practice, document or matter system is named in either, and nothing describes what syncs or in which direction for the privacy applications.
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 subprocessor disclosure gives a location for each processor, including Microsoft in Washington and Canada Central for logging and messaging and Mailgun in Texas for research alerts. The AI Terms place one feature, Ask Arc, on Anthropic in the United States or Bedrock in the EU, which is a region choice stated for that feature alone. The trust center security page refers to an enterprise grade cloud hosting provider without naming it.
Nothing states whether customers share infrastructure or where the platform's primary data store sits, and no residency option is described for the platform as a whole.
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.
The trust center security page states an annual assessment by a qualified outside auditor against the AICPA SOC 2 Type II standard, alongside TLS 1.2 in transit, AES 256 at rest, intrusion detection, logging and incident response plans. The trust center has privacy, security, availability and legal sections. No auditor is named and no coverage period is stated. The report sits behind the trust center's permissions, which TrustArc's own Trust Center product page describes as keeping SOC 2 reports behind confidentiality requirements. No ISO certification is stated on the trust center.
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.
Table 1 of the AI Terms maps every AI feature to its AI technology and outside provider, and the models themselves are not named. The Azure AI Platform from Microsoft runs the Nymity research chatbot and lookups. The OpenAI API runs autofill, similarity search, bulk record creation, evidence analysis, summaries and cookie research, and the Gemini API from Google Cloud runs translations and assisted upload. Ask Arc runs on either Anthropic in the United States and Amazon Bedrock in the EU, or on the OpenAI API, depending on which of two versions of the table the page shows; the two versions disagree.
Section 2.2(b) commits to thirty days' notice and a right to object before any change that materially and adversely affects the customer, including changes to provider relationships. Section 1.1(d) says the providers are opted out of training language models. The technology column names platforms and APIs rather than models.
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 in the legal center, the subscription agreement or the AI Terms. The legal center lists agreements and policies with no pricing document, the subscription agreement refers fees to the order, and the AI Terms mention usage limits such as daily query caps without a charge.
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 is stated as privacy, legal, security and compliance teams in enterprises, with the Nymity library covering privacy regulations, legal summaries and operational templates globally. Product navigation names the EU AI Act, India's data protection law and the EU US Data Privacy Framework among covered regimes. Case studies span healthcare, publishing and consumer products, and the TRUSTe assurance programs serve a separate certification market.
Nothing states where the product stops: no jurisdiction or regulation is named as unsupported and no law firm use is described.
4 public documents
The public pages on file for TrustArc, 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.
-
Client Data in Training, Outside Counsel Guideline Readiness
Read Sep 6, 2026
-
trustarc.com/?p=50201 signal
Third Party Request and Subpoena Notice
Read Sep 6, 2026
-
Prompt and Output Retention
Read Sep 6, 2026
-
Fabricated Citation Record
Read Sep 6, 2026
Tracked changes at TrustArc
TrustArc's Ask Arc assistant can now carry out multistep privacy tasks from a single prompt, through conversational commands a person approves, rather than only giving guidance. Arc Intelligence now supports MCP in both directions: it can be used inside Claude, Microsoft Copilot and ChatGPT, and it can draw context from a customer's Salesforce, Atlassian and other MCP enabled systems, with every connection approved before access is granted. The release also adds drafting of records, assessments and control evaluations from a customer's existing evidence, and states that customer data is never used to train external models.
TrustArc's Q3 2026 release adds Program Builder, a prioritised privacy programme plan mapped to the Nymity framework by maturity level, with owners, due dates and revalidation reminders. A Respond with Arc Intelligence option in PrivacyCentral pairs existing evidence to assessment questions and shows a confidence level and citation for each match. Assessment Manager tickets now sync to ServiceNow, Jira, Monday.com and Coupa, and iOS App Tracking Transparency opt outs are now encoded into the IAB TCF consent string.
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 terms prohibit training on customer content. Not a policy page, the agreement.
The commitment is in the agreement. The Terms of Use for AI Features, last updated November 2025 and incorporated into the customer's agreement, state at section 1.1(b) that TrustArc will not use customer data for AI model training, model improvement or any similar purpose beyond the authorized use of the AI enabled features. At 1.1(d) they state that the third party AI technologies reached through API calls are explicitly opted out of large language model training and used solely to generate responses for authenticated users inside the TrustArc environment.
The trust center privacy notice repeats that AI services are opted out of LLM training by default. No aggregation or deidentification qualifier appears.
Prompt and Output Retention
How long does the product keep what a lawyer typed, and can that be set to zero?
A specific retention period is published and the customer cannot change it.
A specific period is published, and the customer cannot change it during the term. Subscription agreement section 11.5 keeps customer data available for retrieval for thirty days after termination. After that TrustArc has no duty to keep it and may delete or destroy all copies, except any it must keep for legal purposes. The AI Terms add that AI processing under a disabled feature stops promptly on request and that AI services process data only to generate responses.
The trust center privacy notice keeps personal information only as long as necessary. Nothing states a configurable window for prompts and outputs during the term.
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.
Nothing in the AI Terms, the trust center privacy notice or the security page addresses segregation between customers or matters. The AI Terms say AI services generate responses only for authenticated users within the TrustArc environment, which is a statement about access rather than a description of how one customer's data is walled from another's. The legal center also holds a technical and organizational measures document and a DPA of February 2024.
Third Party Request and Subpoena Notice
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.
A published Government Request Policy for Customer Data in the legal center commits to notice. TrustArc will not disclose customer data to government authorities unless required by law or to prevent serious injury or death, will alert customers with as much advance notice as possible so they may object unless prohibited, will give notice as soon as permissible where advance notice is not possible, and will typically ask a government to submit requests for customer controlled personal data to the customer directly. 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?
Sources are identified without stating the license or rights basis.
The source behind the research answers is identified, without a stated rights basis. The NymityAI research chatbot answers from the Nymity Research library, which TrustArc describes as more than fifty thousand expert privacy references, legal summaries and operational templates updated daily. The library is TrustArc's own subscription content, so the source is named. Nothing in the product navigation or the AI Terms states which primary law it summarizes, the license or public domain basis for that material, or the update method beyond the daily claim.
Good Law Verification
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.
No published material addresses whether authority is checked for subsequent history. The research product summarizes regulations and guidance rather than citing case law, and no citator or treatment signal is described.
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 in the AI Terms describes what the AI features do when they cannot ground an answer. The AI Terms warn that outputs may contain errors and require review, and impose usage limits such as daily query caps, but describe no abstention path or confidence signal.
Fabricated Citation Record
Does a public court record exist addressing fabricated or hallucinated legal citations in output from this product?
No court order, opinion or disciplinary record addressing fabricated or hallucinated legal citations produced by this product has been located as of the date shown. This is a statement about the public record on that one subject, not a finding about the product, and this signal is not a litigation history.
The AI Hallucination Cases database maintained by Damien Charlotin records no court order, opinion or disciplinary record naming TrustArc, Nymity or TrustArc Inc.; the sanctions it records involve general purpose chatbots, none of them this product. This is a statement about the public record rather than a finding about the product.
Bar Guidance Alignment
Has the vendor engaged in public with the ethics opinions its buyers are bound by?
No located public material engages with bar or ethics guidance.
Nothing in the AI Terms, the legal center or the product navigation engages with bar or ethics guidance. The AI Terms require human oversight and expert review of outputs and the product content engages extensively with privacy statutes, but no ethics opinion, bar rule or professional responsibility framework is named.
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 an in house privacy, legal or compliance function that bills no client, so the product sits outside a fee relationship between lawyer and client. The published savings claims are operational and attributed to an unnamed Fortune 500 customer: privacy program operating expenses reduced by sixteen to thirty percent and more than three quarters of processes automated. 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?
A subprocessor and model provider list plus client facing disclosure material is published or available without an agreement in place.
A subprocessor list, a model provider list and client facing disclosure material are all published without an agreement in place. The subprocessor disclosure lists each processor with location, purpose and transfer mechanism, with thirty days' emailed notice of additions and a subscription for it. Table 1 of the AI Terms maps every AI feature to its provider: Microsoft, OpenAI, Google Cloud and, for one feature in one version of the table, Anthropic and Amazon.
The AI Terms, the government request policy and the DPA are published in the legal center in a form a firm could forward.
Court Disclosure Support
If a judge’s standing order requires an AI disclosure, can the product produce one?
No located public material addresses court disclosure or verification certification.
No published material addresses court disclosure or verification certification of AI assisted work. The product produces privacy assessments, records and research summaries rather than work product for a court, and nothing describes a record for each document of the model used, sources retrieved and human verification.