Ethyca vs Privado AI: how they compare in 2026
Ethyca and Privado AI are both privacy engineering platforms that find personal data across a company's systems and turn it into records, assessments and enforcement for in house privacy and legal teams. Ethyca is stronger on evidence about its own AI. It publishes precision and recall for its data classifier, over 95 percent against benchmarks drawn from real systems, with the test set described and three failure modes named. Its classifier reads database metadata only, never table contents, and its agreement states plainly that it gives no legal advice. Privado is stronger on commercial terms. It publishes a rate card, from $600 per website a month, and terms that lift the liability cap for privacy breaches and require $1 million each of errors and omissions and cyber insurance. Its Wren agent reads contracts, transcripts and source code to populate assessments, and no model provider appears on its subprocessor list.
Which one fits
Choose Ethyca if
- You want to see how accurate the classifier is before you trust it. Ethyca publishes precision, recall and F1 for its Helios classifier, describes a test set of about 2,000 tagging tasks across 43 data categories, and names the failure modes it found and how each was fixed.
- You want an open standard you can inspect or run yourself. Ethyca's Fides taxonomy and policy language is open source on GitHub, and a customer can self host the Fides core or subscribe to the hosted service.
- You need access decisions enforced for AI agents. Ethyca's Astralis checks every agent call through a policy gateway before it runs, rewrites a query whose inferred purpose is not permitted, and records how and why each access decision was made.
Choose Privado AI if
- You want to price the tool before a sales call. Privado publishes $600 per website per month for its web auditor, $800 per app per month for its app auditor, and $4,200 per month for Wren covering up to 500 assessments, all billed annually.
- You want an agent to draft privacy assessments from your team's tools. Privado's Wren watches Jira, Confluence, Linear and procurement tools for activity needing review, triages it against your playbook, populates PIAs and DPIAs with evidence excerpts, and flags the gaps it cannot fill.
- You want insurance and service credits in the contract. Privado's subscription terms require $1 million each of general liability, errors and omissions, cyber and umbrella cover. They commit to 99.9 percent uptime with tiered service credits, and set a penalty of twelve months' fees for any confidentiality breach.
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.
Without its models, Ethyca is still a data governance platform. Fides is a taxonomy and policy language, Janus manages consent and preferences, and Lethe fulfills data rights requests and deidentifies data. The data inventory can be filled from existing data security tools and catalogs. None of that needs a model. The models power two core features. Helios classifies discovered data with a large language model applied to database metadata. Astralis runs ongoing agentic risk assessment and enforces purpose based access at runtime, including rewriting an agent's query when its inferred purpose is not allowed. Ethyca positions itself as a governance harness for AI, not as a model product.
The model drives a core capability, on a product the vendor also sells without it. Wren is a named AI agent that runs the privacy assessment cycle: watching internal tools for activity to review, checking it against the customer's playbook, researching the question, reading documents, contracts, interview transcripts, code and connected apps, generating evidence, filling in the assessment and routing it to approvers. That is model work at the center of the assessment product. But the pricing page confirms the platform includes a base assessment module that can be bought without Wren. The web auditor, app auditor and code scanner are separately priced products that work by live scanning, static analysis and simulated consent journeys, not models. A large, separately sold part of what Privado offers does not depend on a model.
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.
Ethyca publishes measured accuracy for its classifier, with the test set and method. An engineering post dated 23 December 2025, by a named author, reports precision, recall and F1 for Helios. Accuracy rose from about 50% at baseline to over 80% on an adversarial benchmark suite and over 95% on benchmarks drawn from real systems. Validation on customer provided datasets is reported at over 90%. Positive AI labels were wrong 5% of the time, against 14% for human labels. The test set is described: about 2,000 tagging tasks across 43 data categories, benchmark examples for 46 categories, and fully synthetic schemas built without customer data. The labeling method is described too, including a disagreement review that grew the labeled set from 449 to 825 fields. Three failure modes are named and fixed: laziness, shallowness and credulity. Ethyca also shows why naive accuracy misleads: a classifier that does nothing scores 98.6% on a typical enterprise data mix. The product cites no legal authority, so checks against primary law and citators do not apply. Two limits: no accuracy figure appears on a product page, only in the engineering post, and the category breakdown is shown in screenshots, not text.
Grounding is real and the retrieval path is described, but nothing is measured. The vendor names the sources Wren reads to fill in an assessment: imported documents such as product requirement documents, technical specifications, support documents, interview transcripts and notes; contracts, from which data processing terms are extracted; source code through a source control connection; connected apps through API connections; and internet research, with a cookie agent that checks cookie categories by searching in real time. The output includes evidence excerpts traced to their source, and gaps Wren could not fill are flagged rather than filled. There is no accuracy rate for completed assessments, no evaluation, test set or error analysis, and nothing on how often an evidence excerpt actually supports the conclusion drawn from it. The outputs are assessments and data maps, not legal assertions citing authority.
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.
What the system does alone is set out, and customers get review surfaces, but not the thresholds. Astralis checks every agent call through an MCP gateway before it runs, rewrites a query whose inferred purpose is not allowed, rechecks the risk register nightly, and drafts assessments and mitigations for approval. Customers set the limits through a purposes taxonomy, policy definitions and the Fides ontology, which they version themselves. Review happens in the risk register, the assessment report and an audit record of how and why each access decision was made. What is not published: when the gateway blocks rather than rewrites, what happens when an enforcement decision is wrong, and whether a person approves a mitigation before it applies. The classifier post's discussion of human review concerns Ethyca's own evaluation work, not customer oversight of the product.
A real division of labor is published, with review points, but the boundary is not settled. Wren triages incoming activity and starts the right assessment or record of processing based on risk and on the playbook and privacy policies the customer's team defines, so the constraint is the buyer's own document. Assessments go to approvers, gaps Wren cannot fill are passed to a person in chat, and risks it finds are tracked alongside those raised by privacy staff. That is a workflow with a person at named points. What is missing is where the boundary sits. The vendor says Wren eliminates manual threshold assessments and immediately gives privacy guidance for low risk activity, so it does answer some questions without review. Nothing defines low risk, what Wren may finalize unattended, or what happens when an assessment it filled in turns out wrong after a decision was made on it.
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.
Sixteen customers are named, each with a profile page, including The New York Times, Ramp, SurveyMonkey, WeTransfer, Vercel, Lush, Zola, Casper and American City Business Journals. Platform figures are specific: 744m preferences processed a year, more than 4m access requests, 200+ global brands, $74m+ saved by automation, subject requests cut from 15 hours to 17.2 seconds, 1 PB governed daily and 150,000 policy decisions a second. None is tied to a named customer, and no method is given. The New York Times profile page shows the paper's own business figures (11.7m subscribers, $2.59bn revenue, 139 Pulitzer Prizes) and a chief executive quote about subscription strategy, not about Ethyca.
Three deployments are published with attributed quotes and linked case studies. At HP, a Privacy Innovation and Assurance Leader describes seeing personal data across the technology stack and automating manual controls such as privacy reviews. At HERE Technologies, a Director and Head of Product Trust says compliance reports keep pace with data flows as the product changes. At Headspace Health, a chief information security officer describes building privacy into software development to prevent accidental sharing or tracking. The quotes carry no figure for review time, assessment volume, issues found or cost, no dates, and no method behind any claim. The full case studies sit on a separate customers page.
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.
Confidentiality commitments sit in a contract a buyer can read before signing, but privilege goes unmentioned. MSA section 4.1 licenses Customer Data only to provide the Service and meet Ethyca's obligations. A separate narrow license over Audit Data, three listed fields, is for legal compliance only. Section 4.2 limits use of Customer Data to operational needs such as audit trails and system monitoring, or where law requires. Section 9 sets mutual confidentiality, with need to know limits and written duties on staff. DPA section 3(f) commits to deletion or return within 90 days of termination. The CCPA schedule bars retention, use or disclosure beyond the business purpose, and bars sale. The classifier reads metadata only and, in Ethyca's words, needs no access to sensitive data. Two gaps: nothing addresses privilege or work product, and no model provider's retention terms are stated, since the inference platform is not named. MSA last modified 10 February 2023, DPA dated 17 October 2024.
The published commitments are substantial and backed by real enforcement, but separation and model providers are not addressed. The subscription terms make Customer Content, including source code, data elements and the reports generated from them, the customer's Confidential Information. They set aside the agreement's standard five year limit for that material, so the duty lasts until an exception applies. Privado's use is confined to what is needed to provide the services, and all intellectual property in the generated reports belongs to the customer. Enforcement is real: a penalty of twelve months' fees for any confidentiality breach, which does not release Privado from performance or replace the customer's damages claim, and a liability cap that falls away entirely for confidentiality and privacy breaches. The security page adds role based access control and an internal procedure that blocks employee or administrator access to user data except for limited support needs, with staff under confidentiality agreements. Two things are missing: nothing addresses separation between customers or between matters within one account, and nothing says what the model providers behind Wren may keep, since none is named.
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.
Legal advice is plainly excluded in the agreement that governs the product. MSA section 10.4, headed No Legal or Regulatory Advice, says Ethyca does not provide legal, accounting, tax or regulatory services. It does not advise on complying with or interpreting any privacy or security law. Any recommendation concerns how the Service works, is given from a business view, and should not be relied on as legal advice. The customer alone is responsible for identifying and meeting its own obligations. Section 10.3 adds that Ethyca does not warrant that using the Service will result in legal compliance. Use is limited to Authorized Users under an Order Form for internal business purposes. What is missing: nothing on a supervising lawyer's competence or supervision duties, and no jurisdiction limit on the guidance the product gives. There is no public advice surface, so consumer facing limits do not apply.
A disclaimer sits in the terms while the product gives guidance, and nothing addresses where output stops and legal judgment begins. The vendor says Wren eliminates manual threshold assessments and immediately gives privacy guidance for low risk activity. That means a model tells a business stakeholder that an activity does not need a data protection impact assessment. Nothing published says such guidance is not legal advice, that privacy counsel or the data protection officer stays responsible for the decision, or what happens if the call was wrong. The agreement has related but different provisions. Section 5 records the customer's acknowledgment that it relied on its own skill and judgment to check the software's fit for its intended use, and section 9 disclaims fitness for a particular purpose. Those concern suitability and warranties, not the advice line.
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.
Testing of Ethyca's own classifier is real and published, but no owner is named and no findings on uneven output across people are disclosed. Its published evaluation framework defines and defends an accuracy metric and uses an adversarial benchmark suite. It reports metrics by category in a purpose built workbench, reports findings on model size, and explains the precision and recall tradeoffs between more conservative and more creative models. What is missing is governance structure. No accountable owner is named. No AI policy, model card, governance committee or review board is published. No finding is disclosed on uneven output across populations or data subject groups, as opposed to data categories. Ethyca sells AI governance and publishes solid testing, but no governance structure of its own.
Wren, the vendor's agent, drafts data protection impact assessments. The product pages do not name who is accountable for Wren's behavior, describe what is tested before it ships or changes, report any test result, say whether output varies across legal regimes, languages or document types, or offer a model card. The promise that customer data and code are never used to train models is a data use commitment, and the SOC 2 program with continuous control monitoring is security assurance. An assessment Wren fills in becomes the customer's record of its own compliance reasoning, shown to regulators and auditors. A separate product documentation site is published.
AI Safety and Data Stewardship
Retention, deletion, access control, and what happens to prompts and documents after they are processed. Whether the vendor states its subprocessors and its incident practice, or leaves the buyer to assume.
Ethyca publishes contract terms on all five areas: retention, deletion, access control, subprocessors and incidents. Processing is limited to the term of the Agreement. Controls in the product let the customer retrieve, correct, delete or restrict Personal Data, and the Audit Data license that survives covers three listed fields only. DPA section 3(f) commits to deleting or returning all Personal Data within 90 days of termination. Backups are carved out but must be isolated, kept from further processing and deleted under stated practices. Annex 2 sets out access control item by item. It covers authentication, permissions checked against each data set's attributes, API access by key or OAuth, VPC and firewall segmentation, and intrusion detection. It also covers static code analysis, annual third party penetration testing, a responsible disclosure program, least privilege staff access reviewed quarterly, and background checks. Annex 1.H names subprocessors with purpose and location: Amazon Web Services for cloud infrastructure in Virginia and Twilio SendGrid for transactional email. Customers are notified of changes and have a 30 day objection right for European and Colorado data. Incidents are notified without undue delay, with information and help for the customer's own notice duties. The agreements are dated 10 February 2023 and 17 October 2024.
Retention, deletion, access control, subprocessors and incident practice are all published in specific terms in the data processing addendum and security page. Annex II of the addendum sets out the measures: background checks on new employees, annual security training, written confidentiality and security terms with every vendor, role based access control, and a password policy with credentials held in AWS Cognito. It also covers change management with review before production, TLS in transit and strong encryption at rest, vulnerability assessment and penetration testing twice a year, and backups every fifteen minutes to an encrypted S3 bucket, restore tested twice a year. Retention has periods. Personal data is deleted when an administrator deletes the user and within six months if the customer leaves, and clause 12 requires its return or deletion within at least thirty days of the end of the agreement. Clause 11 covers incidents: breach procedures, notice without undue delay unless the breach is unlikely to put rights at risk, and help notifying the authority and data subjects. Annex II lists each subprocessor with purpose, data center locations and products supported.
AI Liability and Recourse
What the vendor stands behind contractually when its output is wrong. Indemnities, caps, carve outs, insurance, and whether any of it is published or only reachable through a negotiated agreement.
The liability position is specific, but nothing covers wrong output. MSA section 8.1 defends and indemnifies against third party claims that the Service infringes a US patent, trademark, copyright or trade secret. It lists six excluded activities and says this is the sole and exclusive remedy. Section 11 caps each party's liability at 150% of fees paid in the twelve months before the act or omission, and at 300% of those fees for the section 8.1 indemnity. Gross negligence, willful misconduct, payment obligations and the customer's own indemnity are carved out. Section 10.2 warrants that the Service conforms in material respects to the Documentation, with notice, correction and a right to terminate if it cannot be fixed. A buyer can actually use that warranty. What is missing: no indemnity covers wrong output, and section 10.3 disclaims all warranty on the Service and its reports or outputs. It also expressly disclaims that use will result in compliance with law. No insurance is named.
The liability position is published in full, including an insurance schedule. The indemnity at section 12 goes beyond intellectual property: it covers third party claims from Privado's breach of law, from infringement or misappropriation by the software or the customer's lawful use of it, and from Privado's breach of confidentiality. It has three named exclusions and the standard remedies of modifying, procuring, or terminating with a refund. Section 13 caps liability at twelve months of subscription fees. Section 13(b) lifts both the cap and the exclusion of indirect damages for privacy and security breaches, confidentiality breaches, indemnities, and death or personal injury, so the indemnity sits outside the cap. Section 11(f) adds a fixed penalty of twelve months' fees for any confidentiality breach, without releasing Privado from performance and without prejudice to damages. Section 14 requires $1,000,000 each of general liability, technology errors and omissions, cyber and privacy liability, and umbrella cover, with four years of tail on claims made policies. Section 5 warrants material conformance to the documentation and no material loss of functionality. Annexure B commits to 99.9 percent uptime with service credits from 5 to 30 percent, and to support response and resolution goals with a named escalation path.
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.
Ethyca's pages name Snowflake and BigQuery, AWS, identity providers, website cookies, tags and SDKs, third party apps, and data intake by API, SFTP, manual and web upload. The MSA prices Connector Integrations as a separate line, which points to a connector catalog. The Fides core and its connectors are public on GitHub, the API docs and release changelog need no login, and Astralis offers an MCP gateway that checks agent calls against policy. Ethyca also publishes an integrations catalog and a documentation site. The home page and the agreement do not say what each connector moves or in which direction. The product, bought by privacy counsel, connects to warehouses and identity systems; no connection to document or practice management systems is named.
Wren connects to Jira, Confluence, Linear and procurement tools to catch activity needing a privacy review, and pushes development tickets back into Jira and Linear. Data maps are built from source code through a source control connection, from third party apps (customer data platforms, tag managers, CRM, contract management, HR, marketing, procurement and database tools) through API connections, and from imported documents. The OneTrust integration has a stated direction: the data inventory, assessments and risks in OneTrust are updated automatically from Privado. Setup effort is published per module. The web auditor needs only URLs and scan locations, the app auditor needs the app store URL or the APK and IPA files, and neither needs implementation. Wren takes a few days to connect tools, set up playbooks and import documents, and the full platform usually takes one to three weeks. Documentation for each connector sits on the documentation site.
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.
Delivery is stated, with some residency detail. There are two paths: the open source Fides core, which a customer can run on its own infrastructure, and Hosted Fides, the subscription service. For the hosted service, DPA Annex 2 says Customer Data sits in shared, multitenant storage reachable only through application interfaces and APIs, with no direct customer access to the infrastructure. The subprocessor annex places cloud hosting with Amazon Web Services in Virginia, United States. DPA section 6 says Personal Data goes to Ethyca, Inc. in the United States and to other places where its affiliates and subprocessors operate, under the EU Standard Contractual Clauses. Not published: a list of regions, any choice of region, what differs between the four tiers, or where processing happens as opposed to storage.
Regions are stated; the deployment model is not. The data processing addendum's subprocessor annex gives a data center location for each entry. Amazon Web Services, the main cloud host where all Privado applications run and all product data sits, is listed for the United States, the European Economic Area and India, and MongoDB, the main product database, for the same three. So a buyer can tell which countries its data may be in. Transfers out of the EEA use the 2021 Standard Contractual Clauses, set out in full in Schedule 1, under Irish law with the Irish Data Protection Commission as the authority, and clause 8.8 restricts onward transfers. Nothing covers deployment: no tenancy model, no single tenant or self hosted option, no way to choose or pin a region, and nothing separating where processing happens from where data is stored beyond the transfer mechanism. The web and app auditors let a customer choose where a scan runs from, but that is where the simulated user appears, not where data is held.
Security Certifications and Trust Center
Independent attestation a buyer can pull without a sales call: SOC 2, ISO 27001, penetration test summaries, a trust center with current reports and named scope rather than a badge image.
No certification badge appears on Ethyca's pages or in its agreements. The only standards named are SOC 2 Type II and ISO 27001, and the DPA assigns both to Ethyca's data center partners, not to Ethyca. Those cover the hosting provider, not this product. Ethyca's own assurance is assessment rather than certification: annual penetration testing by recognized third parties, with a summary report shared in confidence on request, plus a responsible disclosure program and static code analysis, all in DPA Annex 2. A trust center at trust.ethyca.com, hosted by Vanta, is open without a sales call and says audit reports and security policies are available there. The DPA has a drafting slip: its Virginia and Colorado section says ISO 29001 where the European section says ISO 27001.
There is a badge and a monitoring tool, with no scope, date or report route. The footer and security page show a SOC 2 mark with the AICPA logo, and the security page says Privado uses Drata to monitor more than one hundred internal security controls continuously, with automated alerts and evidence collection. Nothing lets a buyer check it: no type is stated, so Type I and Type II are not distinguished; no trust services criteria are named; no auditor, examination period or report date appears; and there is no route to a report, questionnaire response or portal, since there is no trust center. Continuous control monitoring is real practice, but it shows a program, not an attestation. The security page says it was last updated on 17 February 2022.
Model Supply Chain Disclosure
Which models sit underneath, whose they are, where they run, and whether the vendor commits to telling customers when that changes. A legal buyer inherits every dependency it cannot see.
The models are named in an engineering post rather than on a product page. The classifier was built and benchmarked against models including Qwen's QwQ-32B and DeepSeek-V3. The post finds that accuracy stops improving above about 32B parameters and that models below 18B make errors that cannot be corrected. The design is described in detail: one request per field so fields are not skipped, written reasoning about tagging, prompt caching, prompt optimization rather than fine tuning, and metadata only inputs. What is missing: no inference provider is named, the post says only cloud inference platforms, and nothing commits to telling customers when the model supply chain changes. Ethyca's contract subprocessor list names only AWS and Twilio SendGrid, so no model or inference provider is on the list customers are notified about. Post dated 23 December 2025.
The vendor sells a named AI agent and publishes a subprocessor list, and no model provider appears on it. Annex II of the data processing addendum lists five subprocessors with purpose, data center locations and the products each supports: Amazon Web Services for infrastructure, MongoDB as the main database, SendGrid for email, Intercom for support and Amplitude for product analytics. None is a model provider, and no model, model family, provider, hosting arrangement or inference location for Wren is named anywhere read. Wren clearly runs on a model, since the pricing FAQ says customer data and code are never used to train AI or ML models. So either an unlisted third party sees the documents, contracts, transcripts and source code Wren reads, or the models run inside the AWS setup already listed, and nothing published says which. No commitment to notify customers of changes is given. The subprocessor mechanism at clause 10 offers an objection route with no advance notice period, though the incorporated Standard Contractual Clauses require thirty days' notice of changes for EEA transfers.
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.
A pricing structure is set out, with no prices. The site has no pricing page and no figure, and every call to action is a demo request, a free trial request or a contact form. The structure is in the agreement. MSA section 6.1 names four tiers: Fides True, Fides Team, Fides Plus and Fides Enterprise. Connector Integrations are charged separately, and tier changes or added connectors are charged pro rata for the time used. Section 6.2 sets monthly invoicing in advance on 30 day terms, and fees are not refundable except on Ethyca's breach. Section 6.3 allows price increases only at renewal, with at least 60 days' notice, and only when applied to all customers. The open source core is free to self host. No rate, price band or implementation figure was found.
A rate card is published with figures, units, minimums and what each product includes. The web auditor starts at $600 per website per month billed annually, with a four website minimum and bulk pricing by page available. The app auditor is $800 per app per month billed annually, with iOS and Android counted as two apps. Wren is $4,200 per month billed annually for up to 500 assessments. Only the full platform is priced on request, and the page says what it adds. Each tier lists its features, and volume discounts are disclosed. Annexure A of the subscription terms defines the units: a developer is a user who has committed to a scanned repository in the last ninety days, a website is each unique URL entered, an app is each platform version, and a scan is one run against one website from one location, so the same site from three locations is three scans. The agreement adds fees in advance, a twelve month initial term, nonrefundable fees and 1.5 percent monthly interest on late payment.
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.
Named customers show who Ethyca serves, but not where its coverage stops. Its customers page labels customers by industry: publishing (The New York Times, Axios, American City Business Journals), internet software (WeTransfer, SurveyMonkey, Vercel, Podium), fintech (Ramp), retail and consumer brands (Lush, Casper, Away, Parachute, Zola), and marketplaces and services (JustPark, Slice, Snackpass). It targets enterprises, with a separate enterprise page, and says it works as a technical partner rather than selling an off the shelf SaaS tool. Its workflows show who buys, though the site has no page by role or buyer segment. Not stated: any jurisdiction limit, which regimes are unsupported, or who the product is not for. Practice area and firm segment coverage do not apply to a data infrastructure product bought by in house privacy and legal teams.
Coverage is described in substance across buyers, legal regimes and systems, and the limits are left open. Buyers are addressed by function and confirmed by customer quotes: privacy teams for assessments and records of processing, engineering for code scanning, and security leaders. The three named customers are a technology manufacturer, a mapping company and a digital health provider. Regulatory coverage is named: CCPA, CIPA and GDPR, more than fifty prebuilt compliance checks, dedicated GDPR and CCPA pages, and support for the GPP, TCF and TAG consent frameworks. The systems covered are listed: websites, mobile apps, internally built software, third party apps and business processes. No limit is stated. No jurisdiction, sector or company size is ruled out, the compliance checks have no stated boundary, and nothing says what a law firm, rather than an in house privacy team, would do with the platform.
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?
Ethyca's agreement limits Customer Data to providing the service, and no page found mentions training either way. MSA section 4.1, last modified 10 February 2023, licenses Customer Data to Ethyca only to provide the Service and meet its obligations, for the term. A separate, narrower irrevocable license over Audit Data, three listed fields, is for legal compliance only. Section 4.2 limits use to operational needs such as audit trails or system monitoring, or where law requires.
The DPA's CCPA schedule bars retaining, using or disclosing California personal information beyond the business purpose, and bars sale. Two points for buyers. The DPA's processing annex covers processing needed to provide, maintain and improve the Services provided to Customer. Improvement is named, but training, models and machine learning are not, so the clause does not expressly address training. Separately, Ethyca's engineering post says its classifier was benchmarked on fully synthetic schemas built without customer data, then validated on real datasets provided by customers. That is evaluation, not training, and the classifier reads database metadata only, never table contents.
Public material states plainly that customer content is not used for training, but no matching term appears in the published agreement. The pricing FAQ answers the question directly in the negative and adds that customer data and code are never stored or shared with third parties. The agreement was read in full and has no training term either way. Section 4(e) lets Privado use anonymized usage and analytical data derived from Customer Content, combined with similar data from other customers, for its internal purposes, including research, analytics and improving the services, as long as the customer and its users cannot be identified.
That is a right to improve the service using aggregated data, and it does not name training or models. One phrase in the FAQ is ambiguous. Never stored may mean never stored anywhere, which section 10(c) contradicts by licensing Privado to host, copy, store and process Customer Content to provide the services, or never stored with third parties, which it does not contradict. On training itself, the policy and the agreement do not conflict. Pricing FAQ and subscription terms read 7 September 2026.
Prompt and Output Retention
How long does the product keep what a lawyer typed, and can that be set to zero?
The customer controls retention, and no zero retention setting is stated. DPA section 4 says the Services give the customer controls to retrieve, correct, delete or restrict Personal Data. Section 3(f) commits to deleting or returning all Personal Data within 90 days of termination, with backups isolated and deleted under stated practices. Annex 1.C limits processing to the term of the Agreement. Not published: a retention period for live data, or any way to set retention to zero.
One exception: MSA section 4.1(b) grants Ethyca an irrevocable license over Audit Data until its own compliance duties expire. Audit Data is narrowly defined as the primary identifier of the subject of a rights request, a timestamp, and the number and list of affected systems, not the underlying content. What is kept here is the configured data inventory and the record of rights requests, not a lawyer's prompts to a drafting tool.
A specific period is published, and the customer cannot change it. Annex I.B of the data processing addendum says personal data is deleted once an administrator deletes the user, and within six months if the customer leaves Privado. Clause 12 requires return or, if the customer chooses, deletion of all personal data within at least thirty days of the end of the agreement, with all copies deleted as soon as reasonably practicable after that.
The Standard Contractual Clauses repeat the choice with certification. Two limits apply. The six month figure and the deletion terms cover personal data as the GDPR defines it, not everything the platform holds, so how long a generated assessment, evidence excerpt or code scan result stays in the account during the subscription is not stated. And the security page's retention section covers only usage data, removable on request.
No zero retention option is offered. Data processing addendum, security page and subscription terms read 7 September 2026.
Ethical Walls and Matter Segregation
Does retrieval respect the firm’s ethical walls, or can the model read across them?
A documented permission model of Ethyca's own applies, rather than a source system's access rules. DPA Annex 2 says access to a data set is granted by checking the user's permissions against that data set's attributes. Customer Data sits in multitenant storage reachable only through application interfaces and APIs, with no direct customer access to the infrastructure. A uniform password policy applies, and public APIs use API keys or OAuth.
Astralis adds a purpose layer: access is granted by purpose, not identity alone, and every agent call is checked against policy before it runs. No ethical wall, conflicts check or matter level separation was found. The product separates by data set and purpose rather than by matter, so a firm would have to map its roles and purposes to its own walls.
No public material found addresses separation between customers or within a customer's own account. The nearest feature is role based access control, available on all accounts and letting users define roles and permissions. That is a tool the customer uses over its own people, not a statement of how Privado keeps one organization's assessments, data maps and code scans apart from another's. Separately, the security page describes an internal procedure that blocks employee and administrator access to user data, with limited support exceptions.
Nothing read describes tenancy or isolation, or says whether Wren's research across imported documents and connected tools respects permissions when it retrieves, which matters for a product that reads a customer's contracts and source code. Security page, subscription terms and Wren page checked 7 September 2026.
Third Party Request and Subpoena Notice
If someone subpoenas the vendor for a firm’s data, does the firm hear about it first?
Notice of compelled disclosure is an agreement commitment, and no transparency report is published. MSA section 9.3 allows disclosure of the other party's confidential information under a subpoena or other government process only on three conditions. The receiving party must promptly tell the issuer that the Agreement exists, promptly tell the disclosing party about the subpoena, and not oppose any effort to quash or limit it.
Confidential status must be kept, and reasonable steps taken, during any compelled use. The DPA adds that if a legal requirement stops Ethyca from following the customer's instructions, it will promptly tell the customer as far as the law allows. It will then stop processing beyond storage until new instructions arrive. No transparency report or count of requests received was found.
The commitment appears in both documents, and the stronger one is in the data processing addendum. Section 11(b) of the subscription terms requires prompt notice of any compelled disclosure of Confidential Information so the other party can seek a protective order, cooperation at that party's expense, and disclosure of only what is legally required. Customer Content, including source code, data elements and generated reports, is expressly the customer's Confidential Information, so the clause covers what the platform holds.
The addendum sets out the 2021 Standard Contractual Clauses in full, including clause 15. On a binding request from a public authority, the importer must notify the exporter and, where possible, the data subject, with details of the request and the response. It must try to get any ban on notice waived, provide regular statistics on requests received and challenged, review the request's legality, challenge it where there are reasonable grounds, and disclose the minimum allowed.
That is a regime of notice and challenge, which a buyer transferring EEA personal data receives. No separate transparency report was found, and the subscription terms give no notice timeline. Subscription terms and data processing addendum read in full 7 September 2026.
Primary Law Corpus Provenance
Where does the law in this product come from, and does the vendor have the right to use it?
Coverage is described by regime, but the source of the regulatory content goes unstated. The product holds no case law, but it does encode legal obligations. Ethyca says Astralis knows the internal and external policies a customer must follow and keeps analyzing risk against them. It names regimes including GDPR, the EU AI Act, CPRA, CCPA, the Virginia CDPA, the Colorado Privacy Act and California's Delete Act, with material on each.
Not published: where that content comes from, how it is kept current, or on what basis. A buyer cannot tell whether it is licensed, built in house or derived. The taxonomy is fully open. Fideslang is published as an open source ontology in Ethyca's repository, mirrored by the IAB Tech Lab, and customers can inspect and version it.
The pricing page advertises more than fifty prebuilt compliance checks for CCPA, CIPA and GDPR among others, with dedicated GDPR and CCPA pages and support for the GPP, TCF and TAG consent frameworks. It gives worked examples such as flagging advertising cookies or third party SDK data collection when a California user has opted out. Those sources are public law, not licensed material. Nothing says who maintains the check library, how quickly it absorbs new guidance or a new state law, when each check was last reviewed, or how a customer learns that a check has changed or that a finished scan ran against an outdated version.
Good Law Verification
Does the product tell you when the authority it just cited has been overruled?
The product cites no legal authority, so nothing located addresses checking subsequent history, and nothing would be expected to. The nearest published analog is currency of rules rather than currency of authority: the risk register is stated to be re-evaluated nightly against the customer's data, purpose and vendor inventories and against the regimes named on the product pages. That keeps an obligation set current; it is not a treatment signal on a cited case.
No public material found says whether the authority behind the product's outputs is checked for currency. Case history does not arise for a platform whose outputs are assessments, records of processing, data maps and scan findings rather than citations to case law. The related question is whether the compliance check library and assessment templates keep up with changes in the regimes they encode, and nothing published commits to it. Wren page, pricing FAQ and solution pages checked 7 September 2026.
Refusal and Uncertainty Behavior
What does the product do when the answer is not in the corpus?
An explicit no-finding path is documented and the published evaluation measures it. The classifier's default output where no privacy-relevant category applies is the system.operations tag in the open Fideslang taxonomy, and the vendor's engineering post of 23 December 2025 sets out both that the default exists and why counting it toward accuracy is misleading, working the arithmetic to show that a classifier which always returns the default would score 98.6% on a typical enterprise distribution.
The same post publishes recall and false-negative measurement, which is the rate at which the system wrongly returns nothing, and discusses the precision and recall trade-off in terms of what each failure costs a governance program. The limit worth naming: this is documented for the classifier, and no equivalent abstention behavior is published for the Astralis assessment or the agentic query path.
A path for uncertainty is documented, but nothing shows it working. The vendor says that when Wren fills in an assessment, it flags the gaps it could not fill and asks the user for more context in chat. So the product has a published behavior for when it cannot establish an answer: it marks the gap and routes it to a person rather than completing the form anyway. For a product whose output is a data protection impact assessment a regulator may later read, that is the right behavior.
What is missing is demonstration: no transcript, worked example, evaluation or measurement shows it working, no confidence or grounding score is shown, and nothing says how much of an assessment Wren usually leaves open or how it decides context is insufficient. Wren page and pricing FAQ read 7 September 2026.
Fabricated Citation Record
Does a public court record exist addressing fabricated or hallucinated legal citations in output from this product?
The AI Hallucination Cases database kept by Damien Charlotin holds no entry naming Ethyca, Inc. or its Fides platform as the tool used. Ethyca classifies data and enforces access policy rather than producing legal citations.
The AI Hallucination Cases database kept by Damien Charlotin holds no entry naming Privado or Wren as the tool used. Privado's outputs are internal privacy assessments and data maps rather than filings, though the assessments are produced to regulators and auditors.
Bar Guidance Alignment
Has the vendor engaged in public with the ethics opinions its buyers are bound by?
Published material covers regulatory obligation extensively, including GDPR, the EU AI Act, CPRA, state privacy statutes and California's Delete Act. MSA section 10.4 states plainly that Ethyca provides no legal, accounting, tax or regulatory advice and that the customer retains sole responsibility for its own compliance. That disclaims the advice line; no bar or ethics guidance is engaged, and neither ABA Formal Opinion 512 nor any state bar opinion on generative AI is addressed.
No public material found engages with bar or ethics guidance, or with lawyers' professional obligations in general terms. Privado engages regulation in detail and addresses privacy counsel and data protection officers as buyers, but all of that concerns the obligations of the buying organization. Nothing names an ethics opinion, bar guidance or regulator guidance on lawyers' use of AI, and nothing addresses a privacy lawyer who signs off an assessment a model filled in. Wren page, pricing FAQ, subscription terms and security page checked 7 September 2026.
Billing and Fee Posture
Does the vendor address what happens to the bill when the work takes an hour instead of six?
No fee between a lawyer and a client passes through Ethyca. In house privacy, legal, governance or data engineering teams buy it to govern their own organization's data, and no client is billed for the classifier's or policy engine's work. Ethyca's savings claims are about the buyer's own costs: $74m+ saved by automation, subject requests cut from 15 hours to 17.2 seconds, data access times from six weeks to five minutes, and a published cost of $0.603 per thousand fields classified. No client bill is involved. This question covers AI assisted billable work, which this product does not produce.
The product does not touch a fee between a lawyer and a client. An organization licenses Privado to assess and map its own data processing, and the buyers are in house privacy, legal, security and engineering teams that bill no client for the work. The efficiency claims on the product page, freeing up resources and increasing assessment capacity, concern the buyer's own capacity. Nothing addresses billing, fee or disclosure treatment, because there is no client invoice to address. Pricing page, Wren page and subscription terms checked 7 September 2026.
Outside Counsel Guideline Readiness
Can a firm get this vendor through a client’s AI clause without a bespoke negotiation?
Ethyca publishes a current subprocessor list in its agreement, and no model provider is on it. DPA Annex 1.H names each subprocessor with purpose and country: Amazon Web Services for cloud infrastructure in Virginia, United States, and Twilio SendGrid for transactional email in the United States. DPA sections 5 and 7(d) commit to notifying customers of changes by updating the list, with email notice on opt in and a 30 day objection right on data protection grounds.
Ethyca also imposes equivalent terms on each subprocessor. The DPA and the Master Subscription Agreement are both published in full, so a firm can forward them. Ethyca's engineering post names the classification models and mentions cloud inference platforms, but no model or inference provider appears on the contract list customers are notified about.
A current subprocessor list is published, but the model provider question has no published answer. Annex II of the data processing addendum lists five subprocessors, each with purpose, data center locations and the products it supports. Amazon Web Services is the main cloud host for all product data, in the United States, the European Economic Area and India, and MongoDB is the main database in the same three. SendGrid handles registration, password and notification email, Intercom customer support, and Amplitude product analytics on the code scanner.
Material a firm could forward needs no agreement to obtain: the addendum itself, the Standard Contractual Clauses in full with Irish law and the Irish Data Protection Commission named, the technical and organizational measures in Annex II, and the public subscription terms with their confidentiality, indemnity and insurance provisions. What is missing is the part an AI clause turns on. No model provider is named or listed, so a firm cannot tell its client whose models see the documents, contracts, transcripts and source code Wren reads. Data processing addendum read in full 7 September 2026.
Court Disclosure Support
If a judge’s standing order requires an AI disclosure, can the product produce one?
Ethyca keeps a detailed record of what its AI does, but nothing that serves as a filing certification. Every alert, user action and access decision is logged with how and why it was resolved. Ethyca says its policies prove how data was used, not just who accessed it. Every agent call through the Astralis gateway carries an inferred purpose and a policy check. Assessment reports come with mitigations attached, and classification decisions carry the model's own reasoning.
That is a record, call by call, of what an AI system did with which data and for what purpose, and it can be exported and is described as audit ready. It does not tie a named model, its sources and a named human checker to a filing, because it records data access and governance, not the drafting of a brief. A firm asked to certify AI use in a matter would have material to work from but would have to build the certification itself.
Some elements of a record exist, and none is built for disclosure. The product does produce a lot: evidence excerpts tying assessment answers to their source documents, risks recorded for each assessment with remediation tracked, approval routing that records who signed off, and application logs kept as an audit trail. A privacy team could reconstruct much of what happened from that. What is missing: no export showing which model or agent produced a given answer, what it read and what a person checked before approval; nothing on court standing orders about AI; and no template or certification a filer could attach.
The record the platform keeps is of the customer's compliance decisions, not of the model's work in reaching them. Wren page, pricing FAQ and security page checked 7 September 2026.
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
- Bar Guidance Alignment
Product updates
The latest logged changes from each vendor, newest first, each linked to its source.
Ethyca
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Security / compliance
Astralis 3.0.6 adds structured event logging, which writes a parseable audit line for security relevant actions such as sign ins and token issuance, authorization denials, user and OAuth client changes, encryption key use, data exports and privacy preference reads and writes.
Source -
Safety / governance
Release 3.0.0 of Ethyca's Astralis platform records every purpose based access control decision with its outcome, reason, inferred data use and confidence, the tables and columns touched, and the policies that denied it.
Source
In summary
Ethyca
Ethyca, based in New York, is a data governance and privacy engineering platform built on Fides, the open source privacy taxonomy it maintains on GitHub. Helios discovers and classifies personal data, Janus captures consent, and Lethe fulfills data subject requests and deletion. Astralis enforces purpose based access at runtime, including for AI agents, and assesses risk against regimes such as GDPR, the EU AI Act and CPRA. According to the AI Legal Index, Ethyca publishes precision and recall for its classifier with the test set described, along with its agreement and data processing addendum. It names The New York Times, Ramp and SurveyMonkey among customers. The hosted product comes in four levels, Fides True, Team, Plus and Enterprise, with each connector integration charged on top.
Privado AI
Privado AI is a privacy engineering company whose platform finds personal data across websites, apps, source code and SaaS tools and turns it into privacy assessments and records of processing. Its AI agent, Wren, triages activity from Jira, Confluence and procurement tools and populates assessments. Alongside it sit data maps, code scanning, and web and app auditors that simulate consent journeys. According to the AI Legal Index, Privado publishes a rate card and subscription terms with an insurance schedule, and its terms lift the liability cap for privacy breaches. It names HP, HERE Technologies and Headspace Health among customers. Wren starts at $4,200 a month billed annually, covering up to 500 assessments.
Questions buyers ask
Ethyca vs Privado AI: which privacy engineering platform is better?
They differ in what they publish. Ethyca publishes more about its own AI, including measured accuracy and a testing method. Privado publishes more about its commercial terms, including a rate card, insurance and service credits. Buyers weighing AI risk have more to read from Ethyca; buyers weighing cost, from Privado. From the AI Legal Index, based on each vendor's own published materials as of September 26, 2026. No vendor pays for placement.
How accurate is Ethyca's data classifier?
Ethyca's engineering post of 23 December 2025 reports precision, recall and F1 rising from roughly 50 percent at baseline to over 80 percent on an adversarial benchmark and over 95 percent on benchmarks drawn from real systems, with validation on customer data above 90 percent. It describes the test set and names three failure modes. The figures are the vendor's own. From the AI Legal Index, based on each vendor's own published materials as of September 26, 2026. No vendor pays for placement.
How much does Privado AI cost?
Privado publishes a rate card: $600 per website per month for the web auditor with a four website minimum, $800 per app per month for the app auditor, and $4,200 per month for Wren covering up to 500 assessments, all billed annually. The full platform is priced on request. Ethyca names four tiers in its agreement without publishing a figure. From the AI Legal Index, based on each vendor's own published materials as of September 26, 2026. No vendor pays for placement.
Do Ethyca and Privado AI train AI on customer data?
Ethyca's agreement limits customer data to providing the service. Privado's pricing FAQ states that it never uses customer data or code to train AI models, and its terms allow only aggregated, anonymized usage data to improve the service. Ethyca's classifier also reads database metadata only, never table contents. From the AI Legal Index, based on each vendor's own published materials as of September 26, 2026. No vendor pays for placement.
Neither vendor paid for inclusion, placement or a grade, and neither reviewed this page before it published. Everything on it comes from public material on the dates shown. How the index grades.
Three points to weigh. Ethyca's accuracy figures come from a first party engineering post dated 23 December 2025 rather than an independent evaluation, and its SOC 2 and ISO 27001 references belong to its hosting partners. Privado's security page was last updated in February 2022 and carries a SOC 2 mark without a type or report route. Neither vendor names a model or inference provider on its contractual subprocessor list. Neither vendor reviewed this page.