OneTrust vs TrustArc: how they compare in 2026
OneTrust and TrustArc both sell privacy management to in house privacy, legal and compliance teams: consent, data mapping, assessments and regulatory research, now with AI added. Both document their products well, so the choice turns on what the buyer needs to see. A procurement team that runs on paperwork will find more from OneTrust. Its SOC 2 Type II report, ISO certificates and a Statement of Applicability download with no form, and its versioned Master Terms cap each side at a full year of fees across the platform. A privacy team whose first question is the AI itself will find more from TrustArc. Its Terms of Use for AI Features, part of the customer agreement, state that customer data will not be used for model training or improvement. They also map each AI feature to its provider, with Microsoft, OpenAI, Google Cloud and Anthropic among them.
Which one fits
Choose OneTrust if
- Your security review wants the reports in hand before the first call. OneTrust's trust center lets you download its SOC 2 Type II report, ISO 27001, 27701 and 27017 certificates, a Statement of Applicability showing which controls are in scope, and a 2026 penetration test summary, with no form and no NDA.
- You want to read and compare the contract before negotiating. OneTrust publishes its Master Terms, now at version 5.2, with every prior version back to August 2020, alongside its Data Processing Addendum, Standard Contractual Clauses and a plain language explainer. Its liability cap equals a full year of fees across all services, with intellectual property claims uncapped.
- You need to forecast cost as usage grows. OneTrust publishes the charging meter for each of its nine packages, such as admin users and AI inventory for AI Governance or average daily visitors for consent, and explains that a customer moves up a tier when usage consistently exceeds its limits. Every package is routed to a pricing form.
Choose TrustArc if
- You need a contract term that your data will not train the AI. TrustArc's Terms of Use for AI Features, incorporated into the customer agreement, state that customer data will not be used for model training, model improvement or any similar purpose, and that the third party AI services it calls are opted out of training.
- Your clients ask which AI providers touch the data. TrustArc's AI terms map every AI feature to its technology and provider, including Microsoft's Azure AI Platform, the OpenAI API and Google Cloud's Gemini API, and commit to 30 days' notice and a right to object before a provider change that materially and adversely affects you.
- You want the vendor to say what its AI output is for. TrustArc's AI terms require every output to be reviewed before use, suggest a subject matter expert where needed, and bar relying on outputs for decisions without human oversight, and every AI feature is optional and off until a customer chooses to use it.
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.
OneTrust's core is registry and workflow software, from a data map, consent banners and preference centers to data subject request automation, vendor inventories, assessment templates for more than fifty standards and policy approvals, all of which work without a model. AI speeds up existing steps. Copilot's privacy risk, third party risk and analytics agents make recommendations a user approves or dismisses, AI driven assessments are in private preview, and DataGuidance Copilot answers questions about global laws. OneTrust also sells AI governance as a subject, registering and controlling a customer's own models and agents through AI Governance and CORIE, which manages someone else's AI rather than being AI.
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.
OneTrust's AI assisted assessments produce risk summaries and rated findings that a compliance officer acts on, and DataGuidance Copilot answers questions about global laws by retrieving from OneTrust's DataGuidance research. The AI Transparency Report describes each feature's model and data handling, and the Master Terms disclaim any warranty on the accuracy of AI output. No accuracy rate, benchmark, test set or failure mode is published for either, and whether DataGuidance Copilot answers link to the underlying research is not described.
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.
OneTrust's AI Transparency Report says its AI features never act without user approval and their recommendations are always dismissible, and administrators can switch each feature on or off, with preview features off by default. Data subject request redaction lets users validate or edit before approving, AI driven record of processing changes can be reviewed before they are applied, and the AI use case workflow sends assessments to named privacy, security and legal reviewers before a use case proceeds. For customers' own agents, CORIE can allow, stop or route an action to a person and records each request in an evidence ledger. No route for correcting or rolling back an AI output after approval is published.
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.
The GOL Airlines customer story credits Privacy Coordinator Guilherme with vendor approval falling from almost thirty days to between five and zero and request completion from fourteen or fifteen days to minutes, and quotes Bruna Boccini, Head of Compliance and Data Protection Officer, on reports falling from two or three weeks to minutes. A commissioned Forrester Total Economic Impact study, dated 24 September 2024, reports a 227 percent three year return and a seven month payback with a documented method. Fiserv, Blackbaud, Lumen and Iberia are named in 2026 releases and stories without figures, and OneTrust says more than half the Fortune 500 use it. The GOL figures are the interviewees' own accounts rather than a measured study.
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.
OneTrust's published contract documents include a Data Processing Addendum with version history, a purpose limit under which customer content is used only to provide the services, customer ownership of all data input, tenant separation in a logically separated database with one production environment per customer, ISO 27701 certification, and deletion or export during the term and for sixty days after. The AI Transparency Report says customer data is never used to train the AI models, a policy statement, while the Master Terms let OneTrust use usage data, including query logs, to develop and improve its products. The report names the third party model providers. Privilege and work product are not addressed, though the platform is sold to privacy counsel and assigns a legal reviewer.
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.
OneTrust's Master Terms state that the services, documentation and other information it provides do not constitute legal advice, and its AI Transparency Report tells readers to contact their attorney. The platform assigns risk ratings, generates assessments against the EU AI Act, GDPR and state privacy laws, routes them to privacy, security and legal reviewers, and through DataGuidance Copilot answers questions about global laws. No jurisdiction limit, and no treatment of the supervision and competence duties of counsel relying on those outputs, is published.
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.
OneTrust's trust center says its AI governance program is run by an interdisciplinary AI Governance Committee, with governance processes across the AI lifecycle, an internal AI use policy and employee training. The AI Transparency Report, dated November 2026, publishes six AI principles, including fairness and inclusivity, and gives each AI feature an EU AI Act risk rating alongside its model and data handling. No individual is named as accountable, and no bias evaluation, test regime or result is published, although OneTrust sells bias and drift monitoring to its customers.
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.
Retention is set by the customer, with built in data minimization including automatic deletion and retention periods that OneTrust encourages customers to shorten. Customers may delete or export their data in a structured, machine readable format at any time during the term and for up to sixty days after, after which remaining data is destroyed. Access is managed by the customer, with ISO 27001, 27017 and 27701 certification and security duties set out in the published Data Processing Addendum. Subprocessor changes carry thirty days' notice and a right to object, remedied by an alternative or termination of the affected subscription, and incidents are notified without undue delay. Encryption is AES-256 at rest and in backup and at least TLS 1.2 in transit. The AI Transparency Report says customer data is never used to train the AI models and that AI features are off by default in EU and UK environments. The full subprocessor list sits on the customer portal rather than the open trust center.
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.
OneTrust publishes its Master Terms of Service in a legal center with every version back to August 2020, and version 5.2 is now current after version 5.1 ran from 23 March 2026, alongside the Data Processing Addendum, Standard Contractual Clauses, Business Associate Agreement and product terms. Each party's liability is capped at twelve months' fees, with indemnity, payment, intellectual property and willful misconduct claims outside the cap. An indemnity covers third party intellectual property claims from use of the cloud services, and a warranty commits the services to conform materially to the User Guide. The terms disclaim any warranty on the completeness, accuracy or suitability of AI output and of content from third party data sources, so the risk of a wrong AI output stays with the customer. A plain language explainer sets out the contracting position, including why OneTrust declines uncapped liability for data breach, and no insurance position is stated.
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.
OneTrust publishes an API and SDK reference on its developer site, and its integrations catalog lists 112 connectors. Named connections include Microsoft 365, Snowflake, Adobe and Amazon Redshift, Athena and RDS, and the AI Governance product connects to Amazon Bedrock AgentCore, Azure AI Foundry, Databricks Unity Catalog, Google Vertex AI, Jira and Palo Alto Networks. An MCP Gateway to Claude, ChatGPT, Copilot and Glean is in private preview, and a Workday Agent Passport integration was announced in October 2026 as planned. OneTrust is also sold through the Azure Marketplace. What each connector moves, and in which direction, is not described in the catalog.
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.
OneTrust's contracting explainer describes cloud services on shared architecture, with customer data in a logically separated cloud database and each customer given a single production tenant, plus nonproduction environments in some subscriptions. Its support documentation lists twelve hosting regions on Microsoft Azure, in the United States, United Kingdom, Germany, France, Switzerland, Australia, Singapore, Canada, Brazil, Japan, India and the United Arab Emirates. HIPAA and PCI compliant environments are available, backed by a published PCI attestation and HITRUST certification. AI features are off by default in the German, EU, French, Swiss and UK environments, and where AI processing runs is not stated separately from where data is stored.
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.
Current, independent attestations can be downloaded directly as PDFs, with no form, email capture or NDA click, including a SOC 2 Type II report, a second SOC 2 Type II for Certification Automation, ISO/IEC 27001, 27701, 27017 and ISO 9001 certificates, and a Statement of Applicability showing which controls are in scope. Alongside them sit a PCI DSS attestation signed November 2025 with a responsibility matrix, a HITRUST certification letter, TISAX, TX-RAMP, the Spanish ENS conformity statement, and a CAIQ v4.0.3 self assessment on the Cloud Security Alliance STAR registry. Documentation extends to a 2026 penetration test summary, a completed SIG questionnaire, a security, privacy and architecture whitepaper, disaster recovery and continuity exercise memos, a live status page and, since November 2026, an AI Transparency Report. OneTrust lists no ISO 42001 certification of its own.
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.
OneTrust's AI Transparency Report, dated November 2026 and linked from its trust page, names the model behind each AI feature. Most features run on the GPT-4 family from Azure OpenAI, including GPT-4o, GPT-4o-mini and o3-mini, alongside OpenAI embeddings, Microsoft Translator and an in house classifier, and Gemini 3 Flash is used in preview for Third-Party Risk only. The report adds that MavenAGI presently uses OpenAI and Anthropic as model providers. It says models may change without notice except where they process customer data, which brings those changes under the data processing addendum's thirty day subprocessor notice. Where each model runs is not stated beyond the provider, and AI features are off by default in EU and UK environments.
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.
OneTrust's pricing and packaging page sets out nine packages across five solution families, listing key features so the split between base and suite editions is visible, and gives each package its own charging meter. AI Governance is metered on admin users and AI inventory, the Consent Management Platform on average daily visitors, Universal Consent and Preference Management on data subject profiles, Privacy Automation on users and privacy asset inventory, Tech Risk and Compliance on admin users and asset inventory, and Third-Party Management on admin users and third party inventory. Pricing runs in tiers on those meters, and an account executive moves a customer up a tier when usage consistently exceeds its limits. No rate, band, floor or currency is published, every package routes to a pricing form, and implementation and professional services costs are not stated.
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.
Coverage is described by function, role and regulation. Six solution families cover AI governance, data use governance, privacy automation, consent and preferences, tech risk and compliance, and third party management, role pages address data, marketing, privacy, and security and risk teams, and regulation pages cover GDPR, United States privacy law and the EU AI Act. Tech Risk and Compliance carries templates for more than fifty standards, AI Governance aligns to the EU AI Act, NIST and ISO 42001, and third party screening draws on Dow Jones data. Named customers include Fiserv, Blackbaud, Lumen, GOL Airlines and Iberia, and OneTrust says more than half the Fortune 500 use it. Organization size and poor fit are not addressed, and the role menu has no page for legal teams, although the product's workflow assigns a legal reviewer.
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.
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?
OneTrust's AI Transparency Report, published in November 2026, says customer data is never used to train the AI models, a policy statement rather than a contract term. The Master Terms limit use of customer content to providing the services but let OneTrust use usage data, including query logs, to develop and improve its products, and they do not say whether query logs fall under the training statement.
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?
Retention is a product setting under the customer's control. The contracting explainer says some services include built in data minimization, including automatic deletion and retention periods, and that OneTrust encourages customers to configure them to reduce the personal data held. Customers may delete or export their data in a structured, machine readable format at any time during the term and for up to sixty days after termination, after which remaining data is destroyed.
No zero retention option is stated, and no separate period is published for AI prompts or generated assessments as distinct from customer records generally.
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?
OneTrust runs its own documented permission and separation model at tenant and user level. The contracting explainer says customer data sits in a logically separated cloud database, each customer gets a single production tenant for all subscribed services, and the customer's own users control access and what data is submitted, with OneTrust having no specific access to it. ISO 27701 certification covers the surrounding privacy management system.
Nothing describes separation within one customer account, such as walls between teams, business units or matters, although the published workflow sends one AI use case to privacy, security and legal reviewers in different functions.
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?
OneTrust's contracting explainer says it does not voluntarily disclose or give access to customers' personal data to government authorities unless required by law, and points to a published policy and transparency report on government and law enforcement requests. The Master Terms commit to notice before a compelled disclosure of confidential information, a term that includes customer content.
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?
OneTrust names the reference data behind its products. DataGuidance Copilot's answers are generated from proprietary OneTrust DataGuidance research, the consent product draws on a database of more than 45 million categorized cookies and trackers, third party management carries risk data on millions of third parties, and Dow Jones databases supply politically exposed person, sanctions and watchlist screening. DataGuidance is OneTrust's own, no license basis is stated for the third party datasets, and no update cadence is published for any of them.
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?
OneTrust's assessments, registers and controls do not cite case law, and DataGuidance Copilot answers questions about global laws from OneTrust's DataGuidance research rather than returning authorities with subsequent history. No citator or treatment check is described. The nearest equivalent is regulatory currency, with DataGuidance intelligence tracking regulatory changes and AI Governance aligning assessments to the EU AI Act, NIST and ISO 42001.
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?
OneTrust's AI assessments return a risk summary and rated findings, but a risk rating is a conclusion about the subject rather than the model's confidence, and no abstention path, confidence measure or coverage indicator is documented for its features or for DataGuidance Copilot. The AI Transparency Report says recommendations are always dismissible and features never act without user approval, so an uncertain output is caught by the reviewer rather than flagged by the system.
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?
Damien Charlotin's AI Hallucination Cases database, which held 2,262 cases on 2 November 2026, names no court order, opinion or disciplinary record involving OneTrust or OneTrust Copilot. OneTrust's AI output is a risk rating, assessment or model documentation used inside a governance workflow and gated by human approval, along with DataGuidance Copilot answers on global laws, rather than citations prepared for filing.
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?
OneTrust covers regulation extensively as subject matter, naming GDPR, state privacy laws, the EU AI Act, NIST, ISO 42001, DORA and more than fifty standards. Its Master Terms say its services are not legal advice, and its AI Transparency Report tells readers to contact their attorney. No ethics opinion, state bar guidance, or Law Society or SRA guidance on counsel using AI is referenced, and nothing addresses how a lawyer's professional duties apply when relying on the platform's assessments.
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?
OneTrust's buyers are in house privacy, legal and risk teams rather than firms billing clients, and its savings claims are aimed at their own cost. A commissioned Forrester study from September 2024 reports a 227 percent three year return and a seven month payback, and OneTrust says AI driven assessments run 66 percent faster on average. Outside counsel and consultancies that run the platform on client work get no guidance on disclosing or billing AI assisted assessments, and no per matter record of AI assisted work is described for that purpose.
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?
OneTrust's AI Transparency Report, published openly in November 2026, names who runs the models behind its AI, with the GPT-4 family from Azure OpenAI for most features, Gemini 3 Flash in preview for Third-Party Risk, and OpenAI and Anthropic models behind MavenAGI. The Master Terms, Data Processing Addendum and Standard Contractual Clauses can be downloaded from the legal center without an agreement, with version histories.
The full subprocessor list sits on the customer portal, with thirty days' notice of changes and a right to object, so a firm can name the model providers to a client before contracting and needs portal access for the complete list.
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?
OneTrust sells this kind of record for a customer's own AI. AI Governance automates model documentation, audit ready evidence and regulatory reporting, and CORIE's evidence ledger records the agent, request, purpose, outcome and policy behind each AI action. For OneTrust's own features, the AI Transparency Report names the model behind each one, and the published workflow captures sign off by privacy, security and legal reviewers.
No document level export showing which output was machine generated, which model produced it and what a reviewer verified is described.
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.
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.
OneTrust
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Product / capability
OneTrust release 202610.1.0 made eight new Assessment Automation APIs generally available, covering workflow actions, attachments, assigned and linked assessments, and assessment search.
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Safety / governance
OneTrust introduced CORIE (Contextual Orchestration for Reasoning, Intelligence and Evidence), a shared intelligence layer made of a Trust Graph that maps AI systems, models, data, vendors and identities to consent and governance requirements, a Reasoning Engine that applies policies and prior decisions, and an Evidence Ledger that keeps the audit trail.
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TrustArc
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Safety / governance
TrustArc's 28 October release adds an admin setting that turns off AI completion for assessment respondents who do not have a TrustArc account.
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Product / capability
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.
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Product / capability
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.
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In summary
OneTrust
OneTrust is a governance platform for privacy, data and AI, sold to privacy, security, risk, data and marketing teams across six solution families, from consent and data subject requests to data use governance, AI governance and third party management. It says more than half the Fortune 500 use it. According to the AI Legal Index, its case rests on paperwork a buyer can read in advance: its SOC 2 Type II report and ISO certificates download from its trust center without a form, and its versioned Master Terms are published in full. AI assists inside the platform, with AI generated risk assessments routed to privacy, security and legal reviewers before a use case proceeds. It sells nine packages, each priced on a stated meter.
TrustArc
TrustArc is a privacy management platform for privacy, legal and compliance teams, headquartered in Walnut Creek, California. It sells PrivacyCentral, data mapping, assessments, cookie consent, a customer facing Trust Center and the Nymity Research library, with AI features branded Arc Intelligence and Nymity AI. According to the AI Legal Index, its Terms of Use for AI Features, part of the customer agreement, state that customer data will not be used for model training or improvement, map each AI feature to its provider, and make every AI feature optional. A published Government Request Policy commits to advance notice of demands for customer data. Its agreement sets fees in the order.
Questions buyers ask
OneTrust vs TrustArc: which is better for a privacy team?
Neither, overall. OneTrust publishes more for a security and procurement review: downloadable certifications, versioned contract terms and a stated charging meter for every package. TrustArc puts its bar on training with customer data in the customer agreement, OneTrust states its own in an AI Transparency Report, and both name the provider behind each AI feature. Which matters more depends on who in your organization signs off first. From the AI Legal Index, based on each vendor's own published materials as of September 25, 2026. No vendor pays for placement.
Does TrustArc train AI on customer data?
No, by contract. TrustArc's Terms of Use for AI Features, last updated November 2025 and incorporated into the customer agreement, state that customer data will not be used for AI model training, model improvement or any similar purpose, and that the third party AI technologies it calls are explicitly opted out of large language model training. Its trust center privacy notice repeats that AI services are opted out of training by default. From the AI Legal Index, based on each vendor's own published materials as of September 25, 2026. No vendor pays for placement.
How much do OneTrust and TrustArc cost?
Both quote on request. OneTrust publishes the structure in detail: nine named packages, the capabilities in each, and the meter each is charged on, from admin users and AI inventory to average daily visitors, with a tiered model and every package routed to a pricing form. TrustArc's agreement refers fees to the order, and its AI terms set usage limits such as daily query caps. From the AI Legal Index, based on each vendor's own published materials as of September 25, 2026. No vendor pays for placement.
Which AI models does TrustArc use?
TrustArc's AI terms name providers feature by feature: Microsoft's Azure AI Platform for the Nymity research chatbot and lookups, the OpenAI API for autofill, similarity search, bulk record creation, evidence analysis and summaries, and Google Cloud's Gemini API for translations. For its Ask Arc assistant the page shows two versions of the table, one naming Anthropic in the United States and Amazon Bedrock in the EU, the other the OpenAI API. From the AI Legal Index, based on each vendor's own published materials as of September 25, 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.
Two points to weigh. OneTrust's no training statement sits in its AI Transparency Report, published in November 2026, rather than in its contract. Its Master Terms let it use usage data, including query logs, to improve its products. TrustArc's AI terms carry two versions of the table mapping features to providers, with different providers for its Ask Arc assistant. Neither vendor reviewed this page.