Jusbrasil vs Turivius: how they compare in 2026
Jusbrasil and Turivius tie, each in the top two bands on eleven of fifteen axes and identical on eight, both offering Brazilian lawyers AI research and drafting over large national case law collections. The count is level and the depth is not. Jusbrasil holds three A grades and Turivius none. Jusbrasil published a blind evaluation in which 48 Brazilian lawyers scored its assistant against ChatGPT and Gemini, and checks every citation against its corpus at the end of each answer. Its terms draw the advice line by statute, bar training on user data, and publish prices from R$78.90 a month. Turivius answers with named clients such as Nestlé and Machado Meyer, a choice of GPT, Claude or Gemini for each task, and storage kept in Brazil. Turivius also takes responsibility in its terms for the legality of its court database. Its privacy policy permits using customer data in AI models to improve the service, while Jusbrasil discloses that data may be stored in the United States.
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.
Models do substantial work on top of a system of record that would function without them, and the vendor is explicit about which half is which. The model half is real and named: Jus IA is a generative assistant launched in March 2025 with three shipped skills, being conversational legal research, drafting of pleadings and other documents, and reference analysis, all grounded in a corpus the vendor states exceeds 1.2 billion documents. The vendor states it built its own foundational model trained on that corpus in partnership with Maritaca AI, alongside established third-party models, and that the assistant is continuously calibrated by legal specialists in a human-in-the-loop process. A second generative surface serves non-lawyers as a triage chatbot. The other half is not models and long predates them: the platform has indexed official gazettes and court systems for roughly two decades, and the search, case-tracking, legislation, doctrine, pleadings and community publishing products all function without generative capability. Strip the models out and a very large legal database business remains, which is why this is not the top grade. Terms of use of 1 September 2026, product surfaces and launch material read 7 September 2026.
The models are the engine of a core capability layered on a product that functions without them, which is the B band, and this vendor draws the line itself more clearly than most because it sells the two halves as separate environments. Turivius Clássica is the established product covering jurisprudence search, jurimetrics and knowledge management over a corpus the company reports at more than 130 million decisions from over 100 Brazilian courts. GPTuri+ is the AI environment, launched in 2025, with its own login and its own subdomain, and the company states plainly that the two accesses are independent and that a user signs in to whichever environment they hold. So a buyer can hold the platform without holding the AI, which settles the axis. What sits on the AI side is substantial and named: a generative assistant that builds the search from a natural-language or spoken description of the case rather than requiring Boolean syntax, reads uploaded contracts and pleadings and answers against them with the exact source passage, produces finished work product including opinions, comparative tables, risk maps and draft pleading structures, and runs a Jurimetria Agent that takes a legal thesis, analyses up to 500 selected decisions and returns tables, trend charts, divergences between courts and outcome predictions. The company describes that agent as the first of its kind in Brazil. What keeps it off A is the A band's own test: remove the models and the corpus, the search, the collections and the jurimetric analytics remain, and those are what the company sold for the six years before GPTuri shipped. Verified 13 September 2026.
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.
Accuracy is measured, the design of the measurement is published, and the vendor names where it loses. The measurement: a blind comparative evaluation of four systems on real legal tasks, with Jus IA tested against ChatGPT in paid and free versions on GPT-5 and against Gemini 2.5 Pro, using identical neutral instructions. Forty-eight practicing Brazilian lawyers scored the outputs without knowing they were assessing AI systems or which system produced which answer; their profile is disclosed as one to ten years in practice, 89.58 percent holding a postgraduate qualification, drawn from civil, labor, tax, administrative, criminal and commercial practice. Five use intentions define the test set, being document analysis and summary, explaining a legal concept, mapping a jurisprudential position, generating or adjusting a document, and finding precedents. Four scoring criteria are defined, one of which is reliability, expressly measuring whether cited sources exist and support what was asserted and identifying hallucination. Results are published by criterion with means and standard deviations, and the headline is that Jus IA outperformed in 70 percent of cases. The failure modes are named rather than buried: the vendor publishes that Gemini beats it on linguistic fluency when generating or adjusting documents, attributes that to its own prioritization of correctness over naturalness, and states that it ties on completeness for document summary. The shipped mechanism sits alongside the measurement: every citation of legislation, case law, súmula or other normative content is automatically checked against the corpus at the end of each response, with references that were not found or need attention flagged in the chat, and every reference carries a link into the source document. Two limits are stated rather than glossed. The headline figure is a relative preference rate against three named generalist systems, not an absolute accuracy or hallucination rate, so a buyer cannot say how often Jus IA is wrong in isolation. And the per-criterion charts are images that did not resolve to machine-readable values on this channel, with the full study behind a link shortener. Study page and product surfaces read in full 7 September 2026.
Grounding is real and documented with linked primary sources and a described retrieval method, and no measured accuracy is published, which is the B band. The grounding is the product's central claim and it is specific rather than atmospheric: every answer is built on the platform's own corpus of Brazilian decisions, each analysis cites the decision it rests on, source traceability is named as a feature, and the vendor's own formulation is that the user verifies before using. For uploaded documents the answer carries an exact reference to the passage it came from. The retrieval method is described in outline: the assistant identifies the legal elements in a natural-language description and assembles the search itself, and the vendor contrasts this with general-purpose assistants in a published comparison table covering whether the tool works from real case law, whether the full text is reachable and whether sources are traceable. What is absent is measurement. No accuracy figure, error rate, test set or evaluation of GPTuri is published, and the one quantified claim on the estate, up to 70 percent time saved in analysis, measures effort rather than correctness. Two disclosures cut against the product and are recorded because they are the vendor's own and a buyer should see them: the terms state that Turivius exercises no editorial control over the database, limiting itself to organizing and reproducing publicly accessible data without warranty as to quality or content; and the terms state that reports, charts and decision classifications are generated automatically, may contain errors, are not exact predictions and are to be used solely as a non-exhaustive guide. Verified 13 September 2026.
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.
The oversight position is published, repeated across two separate agreements, and stops short of describing behavior at the edge. What is published: clause 4.4.2 of the terms of use states that no artificial intelligence feature substitutes the work of a qualified lawyer and that the user is responsible for always reviewing or consulting a qualified professional; clause 5.2.1 states that responses may contain errors or omissions and places verification on the user, expressly including where outputs are used before a public body; clause 5.6.2 states that final responsibility for use of Jus IA and for generated content is exclusively the user's; and the separate enterprise terms for organizations carry a matching obligation at clause 4.3.2 requiring the client to analyze and validate content generated by AI tools. The consumer-facing assistant is separately fenced at clause 6.2.1, which states that its answers are informational and educational only and never constitute legal advice. The vendor also describes continuous human-in-the-loop calibration of the assistant by legal specialists. What is missing is the behavioral half. Nothing published describes an escalation path, a point at which the system declines to proceed on substance rather than on policy grounds, or what a user sees when the model is operating outside the corpus. The product is a chat assistant with no autonomous action surface, so several limbs of this band do not bite and are named rather than penalized: there is no agent acting unattended, no threshold at which the system files, sends or commits anything, and no automated action to define a boundary for. Both agreements and the product surfaces read 7 September 2026.
A written commitment that the models work alongside a supervising lawyer with real review surfaces, short of the full control structure, which is the B band. The commitment is explicit and appears in the product's own framing rather than in a disclaimer: the assistant delivers material ready for the user to review and finalize, the vendor's formulation being that you direct, it prepares, you finalize. The review surfaces behind that are real. Each analysis cites the decision it rests on and the user is told to verify before using; answers about uploaded documents carry the exact source passage; the full text of every cited decision is reachable inside the platform; and the vendor publishes guidance of its own on validating a legal AI whose stated aim is answers that can be checked rather than answers requiring blind trust. Mode selection is also published, the user choosing GPT, Claude or Gemini per task. What the A band asks for is missing: no threshold at which the system stops or escalates, no confidence signal, no statement of what happens after the system is wrong, and nothing describing what the Jurimetria Agent does when the evidence is thin across the up-to-500 decisions it processes. R124(2) was applied to the one candidate constraint and it does not qualify. The terms state that automatically generated reports may contain errors, are not exact predictions and must be used only as a non-exhaustive guide, which reads as the tier-and-boundary shape until the dates are checked: those terms are dated 21 September 2020 and the constraint attaches to the jurimetrics reporting that existed then, not to the generative assistant launched in 2025. What GPTuri itself publishes is a general assurance of human review, which R124(2) holds is not enough. Verified 13 September 2026.
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.
Scale is evidenced in the vendor's own numbers and named customers are absent. What is published: more than 1.5 million searches performed through Jus IA, more than 4 million pleadings written with it, an average satisfaction score of 89 percent, a corpus of more than 1.2 billion documents, and more than 90 million decisions from 96 tribunals. Three testimonials appear with the full names of practicing lawyers rather than initials or job titles alone. The blind study is the strongest operational artifact on the record and is credited on the Citation Accuracy axis rather than counted twice here; what belongs here is its scale, being 48 evaluating lawyers recruited across regions and specialisms. A separate industry survey of 1,500 respondents was run with the São Paulo section of the Brazilian bar, Trybe and ITS Rio, which evidences the vendor's standing rather than its outcomes. What is absent is any named institutional customer, any case study tied to a firm, and any method behind the satisfaction and volume figures. The usage numbers are counts of activity rather than measures of result: nothing states how many of the 4 million pleadings were filed, revised or discarded. Product, pricing and launch surfaces read 7 September 2026.
Real deployment evidence with substance, short of joining the names to the figures, which is the B band in its own words. The naming is the strongest in this lane and it is specific. A client wall carries Deloitte, Nestlé, Gerdau, Suzano, BASF, Unimed, BTG Pactual and the law firms Tozzini Freire and Machado Meyer. Ten named case studies are published, each with its own page, covering Nestlé, Cosan and Suzano on the corporate side and Velloza, Bichara, KLA, FNCA, Bergamini, Benvenutti and GDM Consultoria Jurídica on the firm side. Testimonials are attributed to a named individual at a named firm rather than to a role, which is what makes a testimonial evidence: Julia Moreira at Tortoro, Madureira & Ragazzi, Sávio Andrade at Machado Meyer, and Walter Cesar Vasconcelos at Laerte Fonseca & Advogados Associados. Third-party validation of a kind is published too, the company having won Nestlé's global innovation prize in 2022 for a project integrating jurimetrics and AI, which is notable because Nestlé is also a named customer. What holds it off A is that the figures and the names never meet. The only outcome figure published is up to 70 percent time saved in analysis, which is unattributed, undated and carries no method, and the reach counters on the site render as zeroes to this index because they animate client-side. The ten case study pages were not opened; they corroborate a grade that already stands on the client wall and the attributed testimonials, and they are precisely what would move this row to A if any of them joins a named client to a measured result with a stated basis. Verified 13 September 2026.
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.
Substantive published commitments on confidentiality sit against an express contractual disclaimer of responsibility for professional secrecy, and both belong on the record. The commitments are real and specific. Clause 8.3.4 of the privacy policy states that Jus IA operates independently of the platform's other databases and uses a given user's inputs and generated content only within that user's own environment, without providing that user's information to any third party or other user unless the information is publicly available. Clause 8.3 states that Jus IA material is held in a separate database so that it is not used for other purposes and third parties cannot reach it. Clause 5.3.2 states that Jus IA inputs and generated content are treated confidentially and will not be shared with the general public save under a court order. Clause 4.1.5 states that data is not used to train models. The product FAQ adds internal controls preventing personal information entered by one user from being reached by another, and clause 8.1.2 limits employee and third-party access to what is necessary, under express instructions and a contractual confidentiality obligation. Against all of that, clause 5.4.3 of the terms of use states that the user is solely responsible for the information entered into Jus IA, expressly including information protected by professional secrecy, and that Jusbrasil is not responsible for any violation of professional secrecy or any damage arising from inappropriate use. Professional secrecy is therefore addressed in the agreement, which most records on this axis cannot say, and it is addressed by allocating the entire risk to the lawyer. That is why this is not the top grade: the limb this axis exists for is engaged and answered against the buyer. Terms of use and privacy policy read in full 7 September 2026.
Confidentiality is asserted in general terms while the specific commitments a legal buyer needs are either absent or run the other way, which is the C band. The general assertion exists: the privacy policy states that all data about the user is treated as confidential, that only authorized personnel with a need may reach it, that access to the servers is through previously authorized channels with access records kept internally, that stored information is encrypted and passwords are hashed. That is a security posture rather than a confidentiality posture for client material, and the distinction matters on a product that invites lawyers to upload contracts, pleadings and case files. On the limbs the A band names, the record is weak and in one place adverse. Training use is permitted rather than excluded, the policy listing among its authorized purposes the use of user data in artificial intelligence models to personalize the platform, analyze use and improve services, and separately reserving the right to anonymize data submitted to the platform and use and share it in aggregate for other reasonable commercial purposes. Segregation is not documented: the policy states that where the platform is contracted by a firm or company the employer may access the user's profile data and colleagues may see name, photograph and email, and nothing describes walls between matters, clients or users, though Projects organize material by case or client. Retention is stated only as access logs for six months and otherwise for as long as necessary. On third-party model providers the position is unstated: GPT, Claude and Gemini are named as selectable models but nothing says what any of them may retain of a prompt or an uploaded document. Privilege and professional secrecy are not addressed anywhere. Verified 13 September 2026.
UPL and Professional Responsibility Posture
Whether the vendor is clear that it supplies a tool rather than legal advice, who its audience is, and how it addresses unauthorized practice of law, competence and supervision duties, and jurisdiction limits. ABA Formal Opinion 512 is the reference point. Where the advice line is not the duty a product raises, the axis is read through the nearest professional duty it does raise: judicial conduct rules and the reviewing duty for products sold only to courts, and the duty to bill for time actually spent for products that draft time entries.
The boundary is drawn expressly, by reference to the governing statute, in both published agreements and on more than one product surface. Clause 4.7 of the terms of use states that Jusbrasil does not under any circumstances provide legal advice, consultancy or any other activity reserved to the lawyer under Article 1 of Law 8.906 of 1994, the Statute of Advocacy and of the Brazilian Bar Association, and that no legal information on the platform is to be understood as legal consultancy or legal services. The enterprise terms for organizations repeat the same statement at clause 3.5. Clause 4.4.2 states that no AI feature substitutes a qualified legal professional. Clause 4.8 states that the platform neither encourages nor performs any form of client or case solicitation, which is the other half of the Brazilian professional-conduct question and is repeated at clause 10.1(iii). The consumer-facing assistant is separately fenced at clause 6.2.1, which states its answers are informational and educational, never constitute an opinion, consultation or legal advice, and do not substitute a lawyer, with clause 6.3.2 disclaiming any involvement in fee negotiation or in the professional relationship formed. User-published content is bound at clause 10.3(iv) to the Statute, to the Bar's Code of Ethics and Discipline and to its official rulings. The mechanism goes beyond text: clause 2.2 requires a valid Bar registration number for users identifying as lawyers, clause 2.2.1 gates certain features behind validation of that registration, and the enterprise terms gate features on the client nominating Bar-registered users. The statute is named by number and article, the reserved activity is named, the solicitation rule is named, the consumer surface is separately handled, and access to professional features is conditioned on verified registration. Both agreements and the product surfaces read 7 September 2026.
A real published position on advice versus tooling, short of the supervision and competence dimension, which is the B band and the common shape it names. The position is published in the terms and is more substantive than a boilerplate disclaimer. Reports, charts, decision classifications and statistical outputs are stated to be generated automatically, to be capable of containing errors, not to be exact predictions, and to be used solely as a non-exhaustive guide to jurisdictional activity. The product framing repeats it: material is delivered for the user to review and finalize. The terms also impose a purpose limitation on the user that is unusual in this corpus and is professional-responsibility material in substance: the database and platform outputs may be used only for conducting and analyzing legal proceedings, and expressly not for marketing, campaign targeting, profiling individuals, candidate selection, transferring data to third parties or business intelligence, nor for anything incompatible with the purpose for which the underlying public data was released or that would invade the privacy of the people named in it or discriminate against them. Editorially the vendor goes further than most, publishing analyses of Brazilian courts sanctioning lawyers for fabricated citations and a guide to validating a legal AI, and connecting its own product to the verification duty those cases create. What is absent is the A band's core: no statement of who may use the product, no supervision or competence dimension, no jurisdiction limit stated though the corpus is wholly Brazilian, and no rule of professional conduct engaged. Verified 13 September 2026.
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.
A practice is described and no governance framework stands behind it. What exists: continuous human-in-the-loop supervision of the assistant by legal specialists, stated repeatedly and in the terms of use at clause 5.2 as a system incremented by specialists across areas of Brazilian law; a statement in the product FAQ that before releasing new features the vendor performs tests and evaluations to ensure a safe, transparent and reliable experience; and internal audits and access controls asserted in the same answer. The published comparative evaluation is a real testing result and is credited on the Citation Accuracy axis rather than counted a second time here. What is absent is everything this axis asks for beyond practice. No governance framework or standard is claimed for the AI, and no ISO 42001 or equivalent is asserted. Nobody is named as accountable for the assistant's behavior. No bias, fairness or representativeness disclosure exists at any level, which is a live gap on this product specifically: the corpus is built from judicial and official-gazette material that the privacy policy itself acknowledges may contain sensitive personal data revealing religious, political or sexual orientation, philosophical conviction, participation in political or social movements, and health or genetic information, and nothing published addresses whether outputs drawn from that corpus reproduce patterns in it. No model card, evaluation protocol or red-team result is published. Terms of use, privacy policy and product surfaces read 7 September 2026.
A published governance framework with real substance, short of testing results or a named owner, which is the B band, and R36 is the ruling that puts it there: ISO 42001 is an AI management system standard and its presence alone earns B, as it did for Ontra. The About page carries an ISO 42001 mark alongside ISO 27001 and ISO 27701 and a DPO as a Service arrangement, under a heading stating commitment to the highest standards of security, privacy and artificial intelligence governance. The limit is real and is named rather than glossed, because it is what a buyer would want to test: the mark is presented as a badge with no scope statement, no certificate number, no certifying body, no issue or expiry date and no report available, so what is established from the vendor's own surfaces is the claim to the standard rather than a verifiable audited framework. Nothing else on the estate supplies the substance a certification would imply. No responsible AI or ethics page exists, no AI policy or acceptable use position, no accountable owner for model behavior is named, and the DPO as a Service arrangement is a data protection function rather than an AI governance one. No testing regime is described and no evaluation result is disclosed. Bias is not addressed anywhere, which is worth naming on this product specifically: the Jurimetria Agent produces outcome predictions and success rates by court and by rapporteur, and nothing published would let a buyer test whether those predictions are even across courts, regions or parties. Verified 13 September 2026.
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.
Substantive published policy across most of the ground, with the two limbs that would lift it absent. What is published: a corporate information security policy and integrated management document for the information security management system, version 1.0 dated 20 January 2026, issued by the vendor's GRC and Security function, published for external use with a downloadable PDF and a version history; that document commits to risk identification, analysis and treatment, to incident management and continuity processes covering prevention, detection, response and recovery, to vulnerability treatment prioritized by impact, to monitoring, traceability and audit of information assets, to awareness training, and to senior management accountability, all structured on a plan-do-check-act cycle. On the data side the privacy policy commits at clause 8.1.2 to limiting employee and third-party access to what is necessary under express instruction and contractual confidentiality; at clause 8.3 to holding Jus IA inputs and generated content in a separate database; at clause 8.3.1 to discarding voice biometric characteristics after transcription and retaining only the text; at clause 8.3.3 to deleting Jus IA data on account deletion; and at clause 8.3.5 to definitive deletion of a conversation and its contents from the platform and internal databases when the user deletes it. Cross-border transfer is disclosed at clause 9.1. What is missing: no subprocessor or cloud provider is named anywhere, so a buyer cannot say who holds the data; and no breach notification commitment to customers is published, the incident process being described as an internal capability rather than a notification duty. Encryption is not specified. The dedicated security page at the main domain returned bot detection on this channel and is the named rebuttal route. Security policy and privacy policy read in full 7 September 2026.
Substantive published policy covering most of the ground, missing a stated incident practice, which is the B band and one of the two gaps it names. Retention is addressed with one specific figure and one general rule: site access records, meaning IP with date and time, are kept for six months, and everything else is kept only while necessary or relevant to the stated purposes or where law or a legitimate interest requires. Deletion is addressed as a right, with data removed from the servers on request or when no longer necessary, subject to legal retention. Access control is described: only authorized personnel with a need may reach the data, server access runs through previously authorized channels, and records of those accesses are kept internally, with encryption at rest, hashed passwords and TLS in transit. Subprocessors are named rather than described by category, which is more than most records manage: Amazon AWS for hosting, Mixpanel, Hotjar, Google Analytics and PostHog for product analytics, and Mercado Pago, Stone, Pagar.me and PagSeguro for payments. What is missing is incident practice. No breach notification commitment to customers was located, no notification window, no incident response description and nothing stating what a subscriber would be told or when. Two provisions are recorded because a buyer should weigh them here as well as on the confidentiality row: the policy permits use of user data in AI models to personalize and improve the service, and reserves anonymized aggregate data for other reasonable commercial purposes. Verified 13 September 2026.
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 allocation is published in full, readable before signing, and runs almost entirely in one direction. Clause 4.2 puts the platform and services on an as-is footing and reserves the right to withdraw or change them unilaterally. Clause 5.6.2 states that no guarantee of any kind is given as to the results of applying information from the platform in legal practice. Clause 10.2 sets out seventeen enumerated heads of non-liability, including loss of procedural deadlines, errors in information supplied by the courts, discrepancies with official bodies, the user's use of information from the platform, and at sub-clause (xiii) all direct and indirect, incidental, special, punitive and consequential loss including lost profits and moral damages. Clause 10.3(iii) runs the indemnity the other way: the user indemnifies Jusbrasil, its affiliates, directors and employees for any loss arising from use of the platform. Clause 5.4.3 disclaims responsibility for any violation of professional secrecy. No indemnity is given to the customer for anything, including third-party intellectual property claims, no liability cap or floor is stated, no warranty is offered, no service level is committed and no insurance position is published. The enterprise terms repeat the exclusions with no cap either. What keeps this off the floor is that the allocation is comprehensively published and readable rather than absent, that a seven-day refund right is stated at clause 3.4.1, and that the vendor publishes twelve prior versions of the agreement so a buyer can see how the allocation has moved. On the question this axis asks, the published answer is that the lawyer bears the loss. Terms of use read in full 7 September 2026.
A real published position on liability, short of the full picture, which is the B band. What lifts this above a standard disclaimer is a warranty the vendor gives about the thing a Brazilian legal buyer would actually worry about. The terms record that to make the platform available Turivius had to collect, store and process a large body of publicly available data including judgments and other decisions, related data and legal doctrine, which may contain personal data, and that Turivius assumes full and exclusive responsibility for the legality of that database and its use, and for questions of title, originality and any breach of third-party secrecy, intellectual property or image rights, expressly relieving the user of responsibility in those situations. That is a scoped vendor warranty with a hold-harmless attached, on the exposure the product creates by supplying scraped court data. Against it the exclusions are sweeping. Turivius, its controller, affiliates, partners and employees are stated not to be liable in any circumstance for direct or indirect damage from use of the jurimetric outputs, including outcomes that diverge from the platform's predictions, nor for direct or indirect damage, material or moral, including lost profit or revenue, arising from use of or inability to use the platform. What the A band asks for and is not published: no liability cap of any kind is stated, no service level, no insurance, and no warranty at all attaches to the AI output as distinct from the database. Verified 13 September 2026.
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.
A developer surface exists and is documented, and no legal practice system is named. What is established from first-party material: the enterprise arm sells its solutions in API form, described in its terms at clause 1.1 as available by API, interface or other means; a documentation link is published in the enterprise site navigation and footer; a separate API product line is published; and the consumer terms at clause 2.5.2 treat unauthorised API access as illegitimate, which confirms that authorized API access exists. Two lighter integration surfaces are described in the privacy policy and product pages: browser extensions the vendor publishes, and a WhatsApp sharing path that lets a user send files and audio into Jus IA from the messaging app. What is absent is depth into the systems this axis asks about. No document management system, case management platform, word processor, email client or e-signature product is named anywhere on the surfaces read; no integrations page, connector list or partner directory was located; and nothing describes what moves in which direction. Recorded so the grade is read correctly: the API documentation is published at a URL located in the vendor's own navigation but was not opened on this channel, so its existence is established and its depth is not, and it is the named rebuttal route on this row. Both agreements, the enterprise site navigation and the product surfaces checked 7 September 2026.
No integration into the systems legal work already lives in was located, which is the D band. The page inventory was taken from the navigation and footer under R20 and there is no integrations page, no developer or API documentation, no connector catalog and no authentication model anywhere on the estate. Not one practice management system, document management system, billing platform or CRM used by Brazilian firms is named as supported, so a buyer cannot establish whether the platform connects to anything it already runs. The product is designed as a destination rather than a layer, and the features that might look like integration on a quick read are internal and are recorded here so they are not mistaken for it: Projects hold files and saved decisions inside the platform, documents are uploaded to the platform rather than synchronized from elsewhere, and the web search complement pulls legislation and doctrine into the platform's own context rather than pushing anything out. The one outbound provision located is contractual rather than technical: the terms permit the user to present platform-generated reports to third parties, individually and without altering their format. Nothing describes exporting structured data, and the terms separately prohibit running any program to scrape or index the platform, which forecloses the route a firm might otherwise take. Verified 13 September 2026.
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.
Both limbs are addressed and neither is elaborated. On residency, clause 9.1 of the privacy policy states that personal data of users and of people named in proceedings may be stored on servers outside Brazil, expressly including in the United States, because of cloud storage contracted with companies operating data centers there, with clause 9.2 committing to appropriate contractual arrangements. That is a residency disclosure and, for a Brazilian buyer handling Brazilian matter material, an adverse one stated plainly rather than buried. On tenancy, clause 8.3 states that Jus IA information is held in a separate database from the platform's other bases, and clause 8.3.4 states that the system uses a given user's inputs and generated content only within that user's environment. Clause 4.1.5.2 adds that public data and user-entered data are not combined into a single base. Together those describe how one customer's material is separated from another's and from the public corpus. What is absent: no region selection is offered, no Brazilian-only hosting option is published despite the product being sold exclusively into Brazil, no single-tenant or self-hosted arrangement is described, no cloud provider is named, and nothing distinguishes where processing happens from where data is stored beyond the transfer statement. Privacy policy read in full 7 September 2026.
Cloud delivery with an express residency commitment and no tenancy model described, which is B because tenancy and region are co-equal limbs and publishing either clears C. Residency is stated on the home page as one of three named security commitments: data storage exclusively in Brazil, with the information remaining in national territory on trusted infrastructure. Alongside it the vendor publishes full LGPD compliance and encrypted traffic over HTTPS, SSL and TLS. The privacy policy identifies the hosting arrangement, stating that all data provided is stored on servers external both to the user's employer and to Turivius, for example on Amazon AWS, and directing the reader to that provider's own policy. What is not described is tenancy. Nothing states whether a firm's uploaded documents and saved collections sit in a shared or isolated environment, no separation model is published, and there is no on-premises or private deployment option offered or refused. One tension is named rather than smoothed, because a buyer evaluating the residency claim needs it: the storage commitment is written about storage, and the AI environment sends the user's prompts and uploaded documents to GPT, Claude or Gemini, none of which is a Brazilian service. Nothing on the estate reconciles the two, states where inference runs, or says whether anything leaves the country in the course of generating an answer. Verified 13 September 2026.
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.
A real security governance document is published and no certification is held or claimed. What was located and read: a Política de Gestão Integrada for the information security management system, published for external use on the enterprise site with a downloadable PDF, carrying a version number, a creation date of 20 January 2026 and a named owning function of GRC and Security. It states that the management system is built to the requirements of ISO/IEC 27001 and sets out corporate security directives covering confidentiality, integrity and availability, protection against unauthorised access, use of assets only for authorized purposes subject to monitoring and audit, incident management and continuity, vulnerability and risk treatment, awareness training and senior management accountability. It applies to employees, interns and third parties. What it does not do is claim the certification. Its own opening states that certification of the management system to ISO/IEC 27001 is a strategic objective of the security function requiring a set of requirements to be met, which describes an aspiration and a program, not an attestation held. Nothing else was located: no certificate, no auditor, no SOC report, no audit period, no scope statement, no penetration test result, no trust center and no self-serve or gated artifact repository. This is therefore alignment with a named standard, documented at policy level in the vendor's own words, and independently attested nowhere. The dedicated security page on the main domain returned bot detection on this channel and is the named rebuttal route. Security policy read in full and enterprise site navigation checked 7 September 2026.
Badges appear on the site with no scope, no date and no report available, which is the C band word for word. The About page carries marks for ISO 27001, ISO 27701 and ISO 42001, together with a DPO as a Service arrangement, under a heading stating commitment to the highest standards of security, privacy and artificial intelligence governance. That set is a serious one, covering information security, privacy information management and AI management, and the AI standard in particular is held by very few vendors in this corpus. What cannot be established from the vendor's own surfaces is anything behind the marks. No certificate number, no certification body, no issue or expiry date, no statement of the certified scope, no surveillance audit record and no report obtainable by any route, gated or otherwise. There is no trust center, no security page and no compliance page anywhere in the navigation or the footer. The heading's own wording is commitment to standards rather than certification against them, which leaves a buyer unable to tell whether the marks record completed audits or an alignment program. What is published in place of evidence is a short set of assertions on the home page, being LGPD compliance, storage exclusively in Brazil and encrypted traffic, and a longer description of controls in the privacy policy covering authorized access, internal access logging, encryption at rest and hashed passwords. Those are the vendor's own statements, not independent attestation. Verified 13 September 2026.
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 supply chain is partly disclosed, and the disclosed part is the vendor's own model rather than the bought-in ones, which is the reverse of the usual shape. What is named: the vendor states in its own launch material that alongside established third-party models it has its own foundational model trained on its legal corpus, developed in partnership with Maritaca AI, a Brazilian company specializing in adapting language models to particular domains and languages. Trade press quoting the vendor names the partner model as Sabiá and describes the product as combining general-purpose models with it. That satisfies both limbs for one supplier: a provider is identified and its model is named. What is not named is everything else. The privacy policy at clause 4.1.5 refers to the third-party natural language models that feed Jus IA without naming one; the terms of use at clause 5.4.1 refer to partner companies providing natural language processing services without naming one; and clause 8.4 states that AI functionality may depend on third-party technology and models subject to their policies and availability. So a buyer can establish who built the specialized model and cannot establish whose general-purpose models process their inputs. No commitment is given to notify customers when the arrangement changes, and no subprocessor list exists to cross-check against. Terms of use, privacy policy and vendor launch material read 7 September 2026.
The supply chain is partly disclosed, providers named without change notification, which is the B band exactly as written. The naming is unusually direct and it is a purchasable feature rather than a compliance footnote: GPTuri offers GPT, Claude and Gemini in one interface and the buyer selects which runs each task, with the vendor publishing a short characterization of each, versatility and speed for everyday analysis and synthesis, deep reasoning for complex analysis, long contracts and strategic argument, and extended context across multiple documents. All three are stated to read the same corpus of more than 130 million decisions. So a buyer learns which model families process its work and can choose between them, which is more control than any other record in this pull offers. Hosting is identified separately in the privacy policy, which names Amazon AWS as the external server platform. What the A band requires and is not published: no model version is named for any of the three, so a buyer cannot establish which release is running or when it changes; the provider entities behind the product names are never written out; nothing states where inference runs, which matters against the home page's commitment to store data exclusively in Brazil; nothing states what any model provider may retain of a prompt or an uploaded document; and no commitment to notify customers of a change to any of it was located. Verified 13 September 2026.
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.
Published pricing with the unit of charge, the figures, the limits and the terms, all reachable without a sales conversation. Three tiers are named with regular monthly prices: Essencial at R$78.90, Profissional at R$108.90 and Premium at R$208.90, each shown against a promotional first-month rate, with a monthly and annual toggle and a stated annual saving of up to 33 percent. The unit of charge is published and is the AI message: 30 per month, 150 per month and unlimited across the three tiers. A comparison table quantifies seven further limits per tier, being document uploads per month at 10, 50 and unlimited, documents per conversation at 1, 5 and unlimited, file size at 10MB, 50MB and unlimited, cases with memory at 10, 50 and unlimited, and doctrine access at 3 per month then unlimited, alongside which tiers carry citation validation, procedural insights and notifications, curated news and priority support. The commercial terms are in the agreement rather than only on the page: automatic renewal at clause 3.4, self-serve cancellation at any time with benefits running to the end of the paid cycle, a seven-day refund window at clause 3.4.1, and a statement at clause 3.4.2 that where no minimum period is set there is no lock-in. An enterprise route for firms, companies and public institutions is named with payment by boleto. One discrepancy is recorded because a reader who finds it unaided should find it here too: the page's own title states a first month from R$9.90 while the body shows R$1.90 for all three tiers. Pricing page and terms of use read 7 September 2026.
Pricing is gated behind a demo request while the tier names and the feature split are published, so the shape is visible and the number is not, which is the C band word for word. The shape is genuinely visible. Two environments are named and differentiated on the vendor's own surfaces, Turivius Clássica covering jurisprudence, jurimetrics and knowledge management and GPTuri+ covering advanced legal AI for research, documents and jurimetrics, sold as independent accesses with separate logins, and the feature content of each is described at length across dedicated pages. The unit and the commercial mechanics are published in the terms, which is more than the C band assumes: the subscription is monthly, renewing automatically every thirty days, the license is personal and non-transferable with password sharing prohibited and grounds for suspension, cancellation may be made at any time and takes effect at the end of the paid month with no refund for the unused remainder, and the vendor reserves the right to change the price at any time while guaranteeing the rate in force on the first day of the current billing month. What is absent is any figure. The terms direct the reader to the site or to email for prices; the site's every purchase path, including the button labeled create an account, resolves to a single page headed schedule your demonstration, which is a booking form carrying client logos and no rate card. No entry price, no band, no per-seat rate and no minimum is published at any level, and enterprise arrangements are contracted separately under the terms' own carve-out. Verified 13 September 2026.
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 in real numbers across a single jurisdiction, and the boundaries of the offer are left unstated. What is published: more than 90 million decisions from 96 tribunals, a corpus stated at more than 1.2 billion documents, daily updating with new normative acts and recent decisions from courts across the country, and separate collections for case law, legislation, doctrine at more than 1,900 works, real filed pleadings, and community-contributed models. Practice areas are addressed as the whole of Brazilian law rather than a named list, with the study's evaluator panel drawn from civil, labor, tax, administrative, criminal and commercial practice. Buyer types are named across two arms: individual lawyers and law students on the consumer platform, and law firms, corporate legal departments, companies and public institutions through the enterprise arm, which publishes separate surfaces for each. Access to professional features is conditioned on Bar registration. What is absent is any statement of limits: no depth or lag is given per tribunal, nothing states which courts are covered in full text against summary only, no practice area or matter type is named as out of scope, and the jurisdictional boundary is implied by the sources rather than stated. Product, pricing and enterprise surfaces read 7 September 2026.
Segment coverage is described with substance and the boundaries are left open, which is the B band. The two buyer segments are addressed separately and in their own terms rather than as a single audience. For law firms the published propositions are faster research, more relevant results, centralized organization of theses and collections, and quicker delivery to clients. For in-house legal departments they are more reliable data, clearer reporting that translates legal complexity for the business, less operational work in favor of strategy, and faster internal responses to other functions. The named customer base evidences both halves, running from Deloitte, Tozzini Freire and Machado Meyer on the firm side to Nestlé, Gerdau, Suzano, BASF, Unimed and BTG Pactual in-house. Jurisdictional coverage is stated with a figure, more than 100 courts across Brazil and more than 130 million decisions, updated daily, and the company describes jurimetrics as covering the principal areas of law. What is left open is everything the A band asks for at the edges. No practice area is named as supported or unsupported, and the claim to cover the principal areas of law is exactly the unevidenced breadth claim the band below is written for, saved from it by the court and volume figures that are specific. Nothing states which courts or which years the corpus reaches, whether coverage differs between the two environments, or whether the Jurimetria Agent works across the whole corpus. Jurisdiction is Brazil throughout and is never stated as a limit. Verified 13 September 2026.
The 12 legal signals, side by side
Recorded rather than graded. These are the questions a practitioner has to answer before a tool touches a client matter, and the answers are taken from public material only.
Client Data in Training
Can material a lawyer puts into this product be used to train a model?
The prohibition sits in the agreement rather than on a policy page, and the reason is structural: clause 1.3.1 of the privacy policy states that the policy is itself part of the terms of use, and clause 1.2 of the terms makes acceptance of it a condition of use, so its clause 4.1.5 is a contractual term. That clause states that data is not used for the training of proprietary models, giving as its example the third-party natural language models that feed Jus IA, but is used for improvement of the service as a whole.
Three qualifications travel with it and none is minor. First, the scope of the word proprietary: the example given is third-party models, while the vendor separately states it has built its own foundational model on its corpus with Maritaca AI, and nothing published says whether the prohibition reaches that model. Second, clause 5.4.2 of the terms grants a broad right over the same material, permitting information shared by the user to be used for research, service quality analysis, and the development and improvement of Jus IA; read with clause 4.1.5 the two are coherent, the improvement right being granted and model training carved out of it, but the improvement right is wide and is not limited to de-identified or aggregated content.
Third, clause 4.1.5.2 states that inputs and outputs may be accessed by Jusbrasil to validate the quality of generated content and improve response accuracy, which is human or systematic access to matter material for product purposes. The lower values were tested before this one was taken: the policy-only value's own words require that no matching term be located in the published agreement, which is false here, and the permissive values assert a reserved right to train, which the agreement denies. Terms of use of 1 September 2026 and privacy policy of 22 June 2026 read in full 7 September 2026.
Public material states that user data is used in AI models to personalize and improve the service, with no matching term in the published agreement, which is this value exactly as R43(c) defined it. The privacy policy lists among its authorized purposes the use of user data in artificial intelligence models, stated to be only for the purposes set out in that policy and in particular to personalize the platform, analyze its use and improve the services.
That is a permission rather than a prohibition and it is written in the vendor's own voice. A second clause widens it: the policy reserves the right to anonymize data submitted to the platform and to share and use it in aggregate for other reasonable commercial purposes, never permitting identification. On a product that invites lawyers to upload contracts, pleadings and case files, data submitted to the platform is client material.
R43(1) was run and is discharged. The Terms of Use were located and read in full and contain no AI clause of any kind, so no contractual term matches the policy permission and the value is policy rather than contractual. Two dates belong on the record because they explain the shape of it: the Terms are dated 21 September 2020 and the privacy policy 27 July 2023, while GPTuri, the generative assistant this signal is really about, launched in 2025.
The instruments governing the AI predate the AI, and the only sentence in either that reaches model training is a permission written before the product existed.
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 the control reaches zero, exercised item by item rather than as a policy setting, and the limitation is stated here because it matters. What the customer can do: clause 8.3.5 of the privacy policy states that the user may delete conversations and the personal data contained in them, including data in inputs, outputs and attachments, directly in the Jus IA chat interface, and that because the action is voluntary the information for that interaction is deleted from the platform and from the company's internal databases.
Clause 8.3.5.1 extends the same effect to deleting a grouped case, and clause 8.3.3 states that deleting the account deletes information collected through Jus IA. That is definitive deletion at the user's initiative, reaching zero, described as reaching the internal bases rather than only the visible history. What the customer cannot do is set a period. Absent deletion, clause 8.3 states only that inputs, documents, generated content, feedback and generated pleadings are held for as long as necessary for provision of the service, internal analysis and any later legal obligations, with no number attached, so the default is disclosed without a period.
One narrower commitment is firmer: clause 8.3.1 states that direct voice recordings are held only temporarily for transcription, after which voice biometric characteristics are discarded and only the text remains. Privacy policy read in full 7 September 2026.
Retention is addressed and no period is stated for the material this signal covers, which is this value. One specific figure is published and it is not the relevant one: site access records, being IP address with date and time, are held for six months under the Brazilian Civil Rights Framework for the Internet. Everything else is governed by a general rule, that data is kept only for as long as it is necessary or relevant to the purposes described, or for periods fixed by law, or while a legitimate interest of the vendor requires it.
Nothing narrows that for prompts, uploaded documents or generated outputs, and on this product those are the material that matters: the assistant takes contracts, pleadings, notifications and expert reports uploaded by the user, and Projects are designed to retain files, saved decisions and analyses so that they can be carried into later conversations, which is a retention feature sold as a benefit and never given a period.
No deletion-on-termination commitment was located and no export or return obligation. Deletion is addressed only as a data subject right exercisable on request, with the vendor reserving grounds to keep material where a legal duty or its own legitimate interest applies. Nothing states what any of the three model providers may retain of a prompt or an uploaded document once it has been sent to them.
Ethical Walls and Matter Segregation
Does retrieval respect the firm’s ethical walls, or can the model read across them?
The product maintains its own segregation model, documented, and it operates at the user rather than the matter or firm level. What is documented: clause 8.3.4 of the privacy policy states that Jus IA operates independently of the platform's other databases and uses a given user's inputs and generated content only within that user's environment, without supplying that user's information to a third party or another user unless the information is publicly available.
Clause 8.3 places Jus IA material in a separate database so third parties cannot reach it. The product FAQ states that internal controls prevent personal information entered by one user from being accessed by another. A matter-shaped boundary exists inside the account: workspaces group conversations by theme, client or case number, and each new conversation in a workspace draws on that workspace's history, so context is scoped to a matter rather than pooled across the account.
What is absent is the firm-level question this signal asks. Nothing inherits an access model from a document or case management system, because no such integration is named. Nothing addresses walls between users inside one organization: the consumer terms treat the account as individual and non-transferable at clause 2.6, multi-user plans give each login its own access without describing what one login can see of another's work, and the enterprise terms leave user nomination and revocation to the client without describing separation between them.
A firm buying seats would have to maintain any wall itself. Privacy policy, both agreements and the product surfaces read 7 September 2026.
Access control is claimed and no permission model is described, which is this value. What is claimed is vendor-side and general: all data is treated as confidential, only people inside Turivius with the appropriate authorization and a need may reach it, access to the servers runs through previously authorized channels, and records of those accesses are kept internally. That is an internal access statement rather than a segregation model for the customer's own material.
On the customer side the only published statement runs the other way and is recorded because a buyer should see it: where the platform is contracted by a company or a law firm for use by its employees or lawyers, the policy states that the employer may have access to the user's profile data and that other staff of the same organization may see the user's name, photograph and email. Profile data is defined broadly enough to include search history and platform usage.
Nothing describes walls between matters, between clients, or between users within a subscribing organization. Projects organize files, decisions and analyses by case or client, which is the natural place a matter boundary would live, and nothing published says whether a Project is private to its creator, visible to the account administrator, or shared across the organization, nor how access to one is granted or withdrawn. No role model, no permission levels and no conflicts handling were located.
Third Party Request and Subpoena Notice
If someone subpoenas the vendor for a firm’s data, does the firm hear about it first?
Compelled disclosure is addressed in three separate clauses and customer notice appears in none of them. Clause 5.2.2 of the privacy policy reserves the right to share any personal data the vendor believes necessary to comply with a legal obligation or the orders of competent authorities, or to protect its own rights, expressly including responding to judicial requests and sharing with governmental and judicial authorities.
Clause 4.1.13 restates the position for judicial orders, search warrants and subpoenas where the vendor believes in good faith that it is necessary. Clause 5.3.2 addresses the Jus IA material specifically and is the sharpest of the three: inputs and generated content are treated confidentially and will not be shared with the general public save in the case of a court order determining that they be shared. So the vendor has considered what happens to a lawyer's prompts and drafts under compulsion and has published the answer.
What it has not published is any commitment to tell the customer, any reservation of discretion over notice, any undertaking to seek a protective order or to narrow production to what is legally required, or any transparency report. The threshold is also broad on its own terms, extending to what the vendor believes necessary to protect its own rights rather than only to what is legally compelled. No law enforcement guidelines page was located on either domain. Privacy policy read in full and both agreements checked 7 September 2026.
Compelled disclosure is addressed and customer notice is absent, which is this value. The privacy policy reserves the right to supply data and information where judicially requisitioned, expressly limited to the extent the disclosure is legally obligatory, necessary for the company to comply with national law, or expressly authorized by the user. The application access records the vendor is statutorily required to collect are governed by a tighter rule that is worth recording because it is narrower than most in this corpus: those records will be provided to third parties only with the user's express authorization or under judicial demand.
Both provisions are about the conditions of disclosure. Neither says anything about telling the customer. Nothing states that the subscriber or the user would be notified that a demand had been received, given an opportunity to object or to seek relief before production, or informed after the event, and no transparency report or law enforcement guidelines page exists on the estate. The Terms of Use, read in full, contain no provision on legal process at all.
One adjacent clause is recorded and not credited because it concerns a different route out: the policy states that user data may be treated as a company asset and transferred if the business is sold, acquired or merged, with the user's agreement taken as given by the policy itself.
Primary Law Corpus Provenance
Where does the law in this product come from, and does the vendor have the right to use it?
The primary law sources are named individually, the access basis is stated, and the update cadence is published. The enterprise terms carry a formal definition of Fontes Originais as publications in the official gazettes and the websites of state and federal courts made electronically by different organs of public administration, plus data from other public-power sources such as the federal revenue service, collected through partner suppliers.
The consumer terms at clause 4.10 say the same in narrative form, and clause 4.6 characterizes the platform as a locator and indexer that exercises no editorial control over reproduced content, with clause 4.6.1 limiting its own changes to formatting, language simplification and standardization. The basis is stated rather than assumed: clause 2.3.4.1 of the privacy policy identifies the material as documents publicly available for consultation in the official gazettes and court systems.
Cadence is published as daily updating with new normative acts and recent decisions. Rights in the compilation are asserted rather than left open, the enterprise terms defining the database as one over which Jusbrasil Soluções holds sole and exclusive intellectual property rights. Two gaps are named. No license basis is stated for the doctrine collection of more than 1,900 works, which are copyrighted publications rather than public law.
And community-contributed pleadings and models are not licensed but assigned: clause 9.4 of the consumer terms takes an irrevocable, perpetual, worldwide, unremunerated assignment of the economic intellectual property rights in user-submitted material. One limit of this session is recorded rather than presented as an absence: whether Jusbrasil's corpus or its republication of judicial material has been adjudicated in Brazil was not searched, and this row rests on what the vendor publishes. Both agreements and the privacy policy read 7 September 2026.
The sources are named and no license is identified, which is this value, though the clause carrying it is stronger than the value implies and the note records why. The Terms describe the corpus directly: to make the platform available Turivius collected, stored and processed a large body of publicly available data, being data on legal proceedings such as first instance judgments, appellate decisions and other rulings, related data, legal doctrine, and other data gathered by Turivius or by its partners, which may include personal data.
The vendor then assumes full and exclusive responsibility for the legality of that database and for its use in the platform, and for questions of title and originality and any breach of third-party secrecy, intellectual property or image rights, expressly relieving the user of responsibility. A separate clause states that the vendor exercises no editorial control over the database, limiting itself to organizing, structuring and reproducing publicly accessible data without warranty as to quality or content.
So the provenance is stated, the classes of source are identified, and the legal risk is allocated to the vendor. What is absent is a license. The corpus rests on public availability rather than on any identified agreement with a court or publisher, no supplier is named, the partners referred to are not identified, and nothing states on what basis third-party doctrine sits in the database. Nothing addresses whether the public-availability basis extends to processing the corpus with third-party models.
Good Law Verification
Does the product tell you when the authority it just cited has been overruled?
No located public material addresses whether authority is checked for subsequent history, and the mechanism that looks closest answers a different question. What the product does is verify existence: at the end of each response every citation of legislation, case law, súmula, portaria or other normative content is automatically checked against the Jusbrasil base, and references that are not found or need attention are flagged in the chat, with links into each source document.
That is a check on whether the authority is real, which is credited on the Citation Accuracy axis and is not counted again here. It is not a check on whether the authority still stands. Nothing published states whether a decision has been reversed, vacated, distinguished or superseded, whether a súmula has been revised or canceled, or whether a cited statutory provision remains in force, and no treatment flag, currency indicator or licensed citator is described.
The corpus is stated to be updated daily with recent decisions, which keeps the collection current without telling a user that the particular judgment in front of them has been overtaken. The analog closest to a treatment signal in Brazilian practice, whether a cited position reflects the prevailing understanding of the court, is described only as a research technique in platform content rather than as a product capability. Product surfaces, support material and both agreements checked 7 September 2026.
No located public material addresses whether authority is checked for subsequent history, and the note separates that from the analytical work the platform genuinely does. What is published is quantitative rather than status-based. The jurimetrics layer reports rates at which claims succeed, the most cited grounds, divergences between courts and the behavior of individual rapporteurs, and the Jurimetria Agent identifies sub-theses across up to 500 selected decisions and returns trend charts and outcome predictions.
Divergence between courts is a description of how a question is being decided in different places, not a statement that a given decision has been overruled, superseded or is no longer good law. No flag, indicator, treatment status or currency signal of any kind was located, and no editorial or algorithmic process for establishing treatment is described. The vendor's own terms cut against any implied assurance and are recorded here because they are the clearest statement on the point: Turivius states that it exercises no editorial control over the database, limiting itself to organizing, structuring and reproducing publicly accessible data, with no warranty as to its quality or content.
On a platform whose assistant selects precedent for lawyers to rely on, the currency of that precedent is unaddressed. The surfaces read on the date shown were the home page, the GPTuri and Jurimetria pages, the terms, the privacy policy, the cases index and the vendor's own blog on validating legal AI.
Refusal and Uncertainty Behavior
What does the product do when the answer is not in the corpus?
Refusal behavior is documented, and it is documented in the agreement rather than in a help page, which is unusual on this signal. Clause 5.2.3 of the terms of use reserves the right to interrupt use or decline to answer questions from anyone using Jus IA to deviate from the product's stated purposes, which are named as legal research, document creation and analysis of documents and references. Clause 5.2.2 records a second and different ground: because third-party technologies are involved and their policies and codes of conduct may apply, the vendor reserves the right not to answer prompts that potentially conflict with those third-party policies or with the terms, which tells a reader that upstream model policies shape refusals.
Clause 5.6.4 enumerates what the user may not attempt, expressly naming prompt injection, prompt leaking, jailbreaking and data extraction outside the product's purposes, alongside categories of content the system will not produce. So the grounds for refusal are published, specific and contractual. What is absent is the uncertainty half. Nothing describes what the assistant does when it cannot ground an answer in the corpus, whether it declines rather than generating, or whether any confidence or coverage signal is exposed.
The citation validation that flags references it could not find is the nearest thing to such a signal and is credited on the Citation Accuracy axis rather than counted twice here. No demonstration, evaluation or published result of refusal behavior exists, which is what separates this from the top value. Terms of use read in full 7 September 2026.
No located public material describes what the system does when it cannot produce a reliable answer. The vendor addresses the risk at the level of architecture and of user duty rather than system behavior, and both are recorded because they are substantive and neither is this signal. Architecturally, every answer is built on the platform's own corpus with the cited decision reachable in full, and the vendor's published position is that the aim is not answers requiring blind trust but answers that can be checked.
As a matter of user duty, the terms state that automatically generated reports and classifications may contain errors, are not exact predictions and must be used only as a non-exhaustive guide. What neither does is say what happens inside the product at the moment of uncertainty. Nothing states that the assistant declines a question it cannot ground, reports that it found no supporting decision, attaches a confidence signal, flags a weakly supported passage, or behaves differently when the Jurimetria Agent finds few or conflicting decisions across the sample it analyses.
The outcome predictions the agent produces are presented without any published statement of when the underlying evidence is too thin to predict from. The surfaces read on the date shown were the home page, the GPTuri, Jurimetria and About pages, the terms, the privacy policy and the vendor's own published guidance on validating a legal AI.
Fabricated Citation Record
Does a public court record exist addressing fabricated or hallucinated legal citations in output from this product?
No court order, opinion or disciplinary record naming Jusbrasil or Jus IA as the product behind a fabricated citation was located as of 7 September 2026. Searches were run in Portuguese on the company name, the product name and the terms Brazilian courts use for the conduct, alongside the AI hallucination cases database maintained by Damien Charlotin. Brazilian decisions sanctioning lawyers for invented case law and doctrine were located and none names this product; the Santa Catarina matter that appears alongside Jusbrasil in coverage does so because the vendor's own launch material cites it as the risk its citation validation is designed to prevent, which is the opposite of a finding against the product.
This is a statement about the public record and not a finding about the product. One feature of this record bears on how the statement should be read: the vendor publishes a citation validation step that checks each reference against its corpus and flags what it cannot find, and a blind evaluation whose reliability criterion expressly measures hallucination, so the vendor has instrumented the question rather than left it to the record.
Searched on 13 September 2026 against the company name and the product name in Portuguese and English, across Brazilian legal press and court reporting on AI-generated fabricated citations. None located. No decision, sanction or disciplinary referral names Turivius or GPTuri. The context is recorded because Brazil now has an active body of such cases and a reader should see that the absence was tested against it rather than against an empty field.
Reported instances include the Sixth Panel of the Superior Labor Court imposing a bad-faith litigation fine on a telecommunications company and its lawyer in March 2026 after non-existent case law was cited in appellate submissions and detected by the reporting judge's own chambers; a Santa Catarina State Court appeal in which false precedents with indications of AI use drew a bad-faith penalty; federal regional court decisions imposing fines and, in one case, referring the lawyer to the Bar; a Minas Gerais labor court fine for an invented binding summary; and a labor court treating an unverified AI-drafted initial petition as a procedurally non-existent act.
General-purpose assistants rather than legal platforms are what those accounts describe. One point of interest rather than of grading: the vendor publishes its own analysis of several of these decisions on its blog, prepared using GPTuri. This signal records fabricated legal citations in filings and nothing else.
Bar Guidance Alignment
Has the vendor engaged in public with the ethics opinions its buyers are bound by?
Professional responsibility is engaged in general terms and no bar guidance on the use of AI is named. What exists on the AI question is substantive but generic: clause 4.4.2 of the terms states that no AI feature substitutes the work of a qualified lawyer and that the user must review or consult a qualified professional; clause 5.2.1 states that responses may contain errors and places verification on the user, expressly including where outputs are used before a public body; clause 6.2.1 fences the consumer assistant as informational only; and the enterprise terms at clause 4.3.2 make validation of AI-generated content a client obligation.
None of that names an ethics opinion, a bar resolution or a regulator's guidance on lawyers' use of AI. Named bar authority does appear on this record, and it is recorded here so a reader sees why it did not lift the value: clause 10.3(i) binds user-published articles to Law 8.906 of 1994 and to the Bar's rules, clause 10.3(iv) names the Bar's Code of Ethics and Discipline and its official rulings, and clause 4.8 addresses solicitation of clients.
Those are named instruments addressing advertising and solicitation conduct, not AI use, and this signal measures engagement with AI guidance. The vendor's standing with the profession is closer than most, having co-run a 1,500-respondent survey on AI in law with the São Paulo section of the Bar, but a joint research exercise is not guidance mapped to the product. Both agreements and the product surfaces read 7 September 2026.
Professional responsibility is engaged in general terms with no authority named, which is this value, and the engagement is more active than most records at this level. Three things sit behind it. The terms state that automatically generated reports, charts and decision classifications may contain errors, are not exact predictions and are to be used solely as a non-exhaustive guide to jurisdictional activity, which is a duty pointed at the right question.
The terms also impose a purpose limitation on the user that is professional-responsibility material in substance, confining use of the database to the conduct and analysis of legal proceedings and expressly forbidding profiling of individuals, candidate selection, marketing and campaign targeting, business intelligence, transfer to third parties, and any use incompatible with the purpose for which the underlying public data was released or that would invade privacy or discriminate.
And editorially the vendor engages the duty directly, publishing analyses of Brazilian courts sanctioning lawyers for fabricated citations, including referrals to the Bar, alongside guidance of its own on how to validate a legal AI, and connecting its product to the verification duty those decisions create. What is absent is any named authority. No provision of the Brazilian Bar's statute or code of ethics is cited, no Bar opinion or resolution is referenced, no court guidance is mapped to the product, and the Bar appears on the estate only as a body to which other lawyers were reported.
Billing and Fee Posture
Does the vendor address what happens to the bill when the work takes an hour instead of six?
Time savings are marketed to the lawyer and nothing addresses what happens to the client's bill. The product sits squarely inside a fee relationship: it is sold to advogados and to law firms, and its outputs are the research and the pleadings those lawyers bill for. The savings claims are explicit and are aimed at compressing exactly the work that is billed, the product pages promising legal research in minutes, hours of manual searching saved, less time in research, and reduced time to produce pleadings, with more than 4 million pleadings written through the assistant.
Against that, no published material addresses billing, fee treatment or client disclosure. Nothing tells a firm how to treat an hour that became ten minutes, nothing offers a per-matter record of AI-assisted work that could support a fee narrative, and no guidance on disclosing AI assistance to a client was located on any surface. The agreements are silent on the question: they address what the user pays Jusbrasil, at clause 3 of the terms of use, and never what the user's client pays the user.
The absence is worth naming precisely because the vendor engages professional responsibility carefully elsewhere on this record, drawing the unauthorised-practice boundary by statute and article and gating features on Bar registration, so the omission is not a general silence about professional obligations. Product surfaces, pricing page and both agreements checked 7 September 2026.
Nothing published addresses what happens to the bill when AI-assisted work takes an hour instead of six, which is the floor, and all the higher values are false of this record. The product sits squarely inside a lawyer-to-client fee relationship: it is sold to law firms and to in-house departments, the firm-side value proposition is explicitly about faster research and quicker delivery to clients, and the single quantified claim on the estate is up to 70 percent time saved in analysis.
That claim is about the practitioner's time, and time is what a Brazilian firm bills. Nothing follows from it. No per-matter record of AI-assisted work is described, nothing marks an output as machine-generated for the purposes of a bill or a fee note, no guidance on fee or disclosure treatment is published, and nothing addresses whether a subscription cost or a per-analysis cost may be passed to a client as a disbursement.
Recorded and expressly not credited, because software cost is a different object from AI-assisted work: the terms publish the charging mechanics, being a monthly subscription renewing every thirty days with no refund for an unused remainder, which would let a firm attribute the platform cost to a period but says nothing about the client's bill. All the higher values being false of this record, this is a gap rather than a grading error and the summary carries it.
Outside Counsel Guideline Readiness
Can a firm get this vendor through a client’s AI clause without a bespoke negotiation?
The forwardable material exists behind an executed agreement rather than on a page. The enterprise terms at clause 2.1.2 record that personal data is processed in accordance with a Termo de Tratamento de Dados executed with the client, which is a data processing agreement negotiated per customer and not published; clause 1.2 names the Contrato de Prestação de Serviços Jusbrasil Soluções and clause 1.2.1 the Contrato para Organizações as the instruments the client signs.
A firm can therefore obtain a processing agreement, and cannot obtain one before entering a commercial conversation. What is published falls short of the pack this signal describes. No subprocessor list exists on either domain: the privacy policy describes categories of suppliers and partners and names none of them, and no cloud provider is identified anywhere despite clause 9.1 disclosing storage outside Brazil. On the model side the disclosure is partial rather than absent, the vendor naming Maritaca AI as the partner behind its own foundational model while referring to the third-party natural language models that feed Jus IA without naming one, so a firm can answer half of a client's question about whose model sees its content.
Two artifacts that would bear on this were located and not read on this channel and are the named rebuttal route: the enterprise Aviso de Privacidade and the Guia de Boas Práticas, both published in the enterprise site footer. Both agreements and the privacy policy read 7 September 2026.
A processor list and a model statement both exist and no forwardable client-facing pack sits around them, which is this value under R29's IPRally condition. On the model limb the vendor is more forthcoming than most: the product page states that GPT, Claude and Gemini are available in one interface, that the buyer selects which runs each task, and that all three read the same corpus, so a firm can tell its client which model families process its work and can choose between them.
R29's first test is passed because this is model naming rather than infrastructure naming. On the processor limb the privacy policy names Amazon AWS as the hosting platform, Mixpanel, Hotjar, Google Analytics and PostHog for product analytics, and Mercado Pago, Stone, Pagar.me and PagSeguro for payments. What is missing is the third limb and some of the substance behind the first two. There is no data processing addendum, no consent or notification pack drafted to be forwarded, and no client-facing disclosure artifact of any kind.
The model naming lives on a marketing page rather than in a disclosure instrument, gives no provider entity, no version and no statement of what any model provider may retain, and is not reconciled anywhere with the home page's commitment to store data exclusively in Brazil. R29 is explicit that where the list sits outside a DPA and no other forwardable artifact exists, the value drops rather than the top two values collapsing into each other.
Court Disclosure Support
If a judge’s standing order requires an AI disclosure, can the product produce one?
No located public material offers a record of AI-assisted work that a lawyer could put in front of a court, and the vendor has considered the court-facing scenario without providing one. Clause 5.2.1 of the terms of use expressly contemplates it, stating that the user is entirely responsible for the use made of Jus IA including where outputs are used before a public body. That allocates the risk and stops there. What the product retains is not a disclosure record: conversations are stored and can be grouped by client or case number, and clause 5.4 records that questions, uploaded documents and chat history are kept, but none of it is offered as an exportable account of what the AI did.
Nothing records which model produced a given output, what it retrieved, or what a person verified before the result was used, and no certification, template or standing-order guidance for a filer is published. The citation validation panel, which shows which references were confirmed against the corpus and which were flagged, is the closest artifact and is credited on the Citation Accuracy axis rather than counted twice here; it is in any event a check on the answer rather than a record of the process, and it is not described as exportable. Product surfaces, support material and both agreements checked 7 September 2026.
No located public material addresses disclosure of AI involvement in legal work, which is the floor. One clause comes closer than most and is recorded and not credited, because on a careful reading it points the other way. The terms expressly permit the user to present platform-generated reports to third parties, individually and without altering their format or image. That is a permission to circulate the output, and a Brazilian court is a third party, so a jurimetric report can properly be put in front of one.
What the clause does not do is make the output self-identifying: nothing states that a report carries a mark, a header or any indication that it was machine-generated, nothing records which model produced it or when, and the format-preservation condition protects the vendor's presentation rather than the reader's ability to tell what they are looking at. Beyond that clause there is nothing. No audit trail of AI use, no per-query or per-matter record a firm could produce, no certification template, and no guidance on whether or how AI assistance should be disclosed to a court or a client.
The gap has weight in this jurisdiction: Brazilian courts have sanctioned lawyers for filings containing fabricated citations and have treated an unverified AI-drafted petition as a procedurally non-existent act, so the ability to evidence how an output was produced is becoming a practical need rather than a theoretical one.
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
- Court Disclosure Support
Which one fits
Choose Jusbrasil if
- You want evidence of how the assistant compares. Jusbrasil published a blind study in which 48 practicing Brazilian lawyers scored Jus IA against ChatGPT and Gemini on five kinds of legal task, reporting it preferred in 70 percent of cases and naming where it lost.
- You need citations checked before you rely on them. Jus IA checks every cited statute, decision and súmula against the Jusbrasil corpus at the end of each response, flags references it cannot find, and links each one to its source.
- You want to price it yourself. Jusbrasil publishes three tiers at R$78.90, R$108.90 and R$208.90 a month, priced by AI messages with document limits for each, self serve cancellation and a seven day refund.
Choose Turivius if
- You want to choose the model for each task. Turivius's GPTuri offers GPT, Claude and Gemini in one interface, all reading the same corpus of more than 130 million decisions, and states that customer data is stored exclusively in Brazil.
- You need jurimetrics on a legal thesis. Turivius's Jurimetria Agent analyzes up to 500 selected decisions and returns tables, trend charts, divergences between courts and outcome predictions, alongside the established case law search and jurimetrics product.
- You want named peers and a vendor that stands behind its data. Turivius names clients including Nestlé, Deloitte, Suzano and Machado Meyer, and its terms assume full responsibility for the legality of its court database, relieving the user of that exposure.
In summary
Jusbrasil
Jusbrasil, operated by Goshme Soluções para a Internet Ltda. of Salvador, Bahia, is Brazil's largest legal information platform, indexing more than 1.2 billion documents from official gazettes and courts. Its assistant, Jus IA, launched in March 2025, handles legal research, drafting of pleadings and reference analysis, with its own model built with Maritaca AI alongside third party models, and checks each citation against the corpus. The AI Legal Index grades it in the top two bands on eleven of fifteen capability axes, with A grades on citation accuracy, professional responsibility and pricing. Its terms name the Brazilian advocacy statute and bar training on user data. As of 7 September 2026 the index located no named institutional customer or security certification.
Turivius
Turivius, from Turivius Portais de Conteúdo Ltda of Florianópolis, founded in 2019, is a Brazilian legal intelligence platform combining case law research, jurimetrics and generative AI over more than 130 million decisions from over 100 courts. Its GPTuri assistant lets the user choose GPT, Claude or Gemini per task, answers with cited decisions, reads uploaded documents and runs a Jurimetria Agent for outcome analysis. The AI Legal Index grades it in the top two bands on eleven of fifteen capability axes. It names clients including Nestlé, Deloitte and Machado Meyer, stores data in Brazil, and shows ISO 27001, 27701 and 42001 marks. As of 13 September 2026 the index located no published price or integration.
Questions buyers ask
Jusbrasil vs Turivius: which is better for Brazilian legal research?
They tie on the AI Legal Index grid, each in the top two bands on eleven of fifteen capability axes and identical on eight. Jusbrasil holds three A grades, for its blind evaluation and citation checking, its statutory advice line and its published prices. Turivius offers a choice of models, jurimetric analysis, named clients and storage in Brazil. Firms that want measured accuracy first have more to read from Jusbrasil.
Does Jusbrasil check the citations Jus IA produces?
Yes, for existence. At the end of each response Jus IA checks every cited statute, decision, súmula or other normative content against the Jusbrasil corpus and flags references it could not find or that need attention, with a link to each source. It does not publish a check on whether a decision has since been reversed or a provision repealed. Turivius cites its source decisions without an automatic check. Graded by AI Legal Index against 15 capability axes and 12 legal signals, including privilege handling and citation accuracy, from each vendor's own published materials, verified September 27, 2026. No vendor pays for placement.
Do Jusbrasil and Turivius train AI on user data?
Jusbrasil's privacy policy, which forms part of its terms, states that data is not used to train proprietary models but is used to improve the service; it does not say whether that reaches its own model built with Maritaca AI. Turivius's privacy policy permits using user data in AI models to personalize the platform and improve its services. Graded by AI Legal Index against 15 capability axes and 12 legal signals, including privilege handling and citation accuracy, from each vendor's own published materials, verified September 27, 2026. No vendor pays for placement.
Where do Jusbrasil and Turivius store data?
Turivius states that data is stored exclusively in Brazil on AWS, though it does not say where its GPT, Claude or Gemini inference runs. Jusbrasil's privacy policy discloses that data may be stored on servers outside Brazil, including in the United States, through its cloud providers, with contractual safeguards. Graded by AI Legal Index against 15 capability axes and 12 legal signals, including privilege handling and citation accuracy, from each vendor's own published materials, verified September 27, 2026. No vendor pays for placement.
What do Jusbrasil and Turivius both leave unpublished?
A verified security certification and a good law check. Neither publishes a certificate, auditor or report for any security standard, and neither checks whether a cited decision has been reversed or superseded. Neither names a legal practice system it integrates with, and neither addresses how AI assisted time should appear on a client's bill. Graded by AI Legal Index against 15 capability axes and 12 legal signals, including privilege handling and citation accuracy, from each vendor's own published materials, verified September 27, 2026. No vendor pays for placement.
Three readings to weigh. Turivius's privacy policy permits using customer data in AI models to personalize and improve the service, and its terms date from 2020, before its AI assistant launched. Its ISO marks carry no scope, date or certifying body. Jusbrasil's terms place responsibility for any breach of professional secrecy on the user, and its no training clause does not say whether it reaches Jusbrasil's own model. Jusbrasil was verified on 7 September 2026 and Turivius on 13 September 2026. Neither vendor reviewed this page.
Neither vendor paid for inclusion, placement or a grade, and neither reviewed this page before it published. Everything above comes from public material on the dates shown. How the index grades.