Jimini AI vs Ordalie: how they compare in 2026

J
Jimini AI profile
O
Ordalie profile
Last verifiedSeptember 26, 2026

Jimini AI and Ordalie are both French legal AI assistants for avocats and in house lawyers, both hosted in France on Scaleway, and both bar training on client data in their terms. Ordalie sits in the top two bands on fourteen of fifteen axes and Jimini AI on thirteen of fifteen, identical on ten. The one axis that moves the count is liability. Ordalie's terms undertake to carry professional liability insurance and accept liability by name for breaching its confidentiality undertaking, while Jimini's terms exclude liability for its output entirely. Ordalie also publishes its prices, from a free plan to 99 euros per user a month, and names its legal sources court by court. Jimini's lead lies in the detail of its data commitments. A dedicated clause addresses the avocat's professional secrecy by statute, its subprocessor table names Mistral, OpenAI and Anthropic with their locations, and it commits to breach notice within 24 working hours. Ordalie's own pages disagree on how long conversations are kept.

At a glance

Category
Jimini AIGeneral Legal Assistants
OrdalieGeneral Legal Assistants
Founded
Jimini AI2023
OrdalieNot published
Headquarters
Jimini AIParis, France
OrdalieParis, France
Last verified
Jimini AISep 4, 2026
OrdalieSep 12, 2026

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.

Jimini AI
AA on AI CentralityThe artificial intelligence is the product. Remove the models and there is nothing left to sell.

The CGU defines the thing being sold as the "Système d'IA" and the Site as an interface for interacting with it, which is as literal as this axis gets. Analysis, drafting and research are all model outputs, and the agentic workflow layer plans and orchestrates multi-step tasks. The home page describes a multi-model architecture in which Jimini selects, orchestrates and continuously optimises third-party models per task and builds legal reasoning, source handling and workflows on top. Remove the models and there is no document system or workflow engine left underneath. Checked 4 September 2026.

Ordalie
AA on AI CentralityThe artificial intelligence is the product. Remove the models and there is nothing left to sell.

Remove the models and there is nothing left to sell, which is the A band. The agreement itself settles it rather than the marketing: Terms of Sale clause 2.1 defines the subscription as three things and all three are model-run, an AI assistant that answers legal questions and analyses documents, a search engine described as using AI algorithms to understand the links between legal documents, and intelligent document generation producing contracts, memos and analyses. There is no fourth, non-AI service in the definition; the only other item is training and support in the use of those three. The corpus underneath is real and large, and the tempting counter-argument is that a searchable database of 102 codes and case law would still have value with the models switched off. It does not carry, for the vendor's own reason: that database already exists free at Legifrance, and Ordalie positions expressly against it, naming manual Legifrance research as the thing it replaces. What the buyer pays for is the synthesis and the citation, not the texts. Pricing follows the same logic and is stated in model terms, the free and paid tiers being separated by which legal AI models are available, basic against advanced, and by query volume rather than by any non-AI feature. Verified 12 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.

Jimini AI
BB on Citation Accuracy and Hallucination DisclosureGrounding is real and documented, with linked primary sources and a described retrieval method, short of published accuracy figures an outsider can test.

Grounding is real and documented rather than asserted. The research product is described as returning answers anchored in recognised sources of law, Legal Data Hunter is named in the CGU subprocessor table as the legal research provider located in the European Union, and the privacy policy describes the retrieval mechanism directly: uploaded documents are indexed and split into paragraphs to support search and retrieval. What keeps this off the top band is the absence of a measured figure a reader can interrogate. The home page carries a precision claim in a hero counter, presented with no methodology, no test set and no date; a number in that form is a claim shape rather than a published accuracy figure, so it would not lift this axis even if it were read. No failure modes are named anywhere. Separately, and as a limit on this record rather than on the vendor, the counter's numerals render through an animated component that did not resolve on fetch. Checked home page, product pages, workflows page, CGU and privacy policy on 4 September 2026.

Ordalie
BB on Citation Accuracy and Hallucination DisclosureGrounding is real and documented, with linked primary sources and a described retrieval method, short of published accuracy figures an outsider can test.

Grounding is real, documented and openable by the reader, with a described retrieval method and no published measurement, which is the B band precisely. The grounding limb is met more fully than most records in this corpus reach: every answer displays its sources alongside it, citations carry direct links to the original text, references are given to the article, judgment number or page, the excerpts actually relied on are shown, and where possible the link resolves to Legifrance so the reader lands on the official version rather than a vendor rendering. The retrieval method is described rather than asserted, the documentation stating that the assistant selects the relevant sources itself, shows the user which ones it selected, then sorts and synthesises them into an answer with matching citations, with legal references detected and formatted in real time as the answer is written. The user controls the retrieval perimeter by switching source families and jurisdictions on and off. What is absent is everything A adds. No accuracy figure, error rate, test set or evaluation of any kind is published, so nothing here is testable by an outsider. Citation status is not checked, which is graded on the citator signal. And no statement was located describing what the system does when it finds no support. R40 governs the floor and the D limb does not fire: the no-hallucination claim on the marketing sits alongside architecture that is documented in detail, so it is not a bare claim. Verified 12 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.

Jimini AI
BB on Autonomy and Oversight ModelA written commitment that the models work alongside a supervising lawyer, with real review surfaces, short of the full control structure: commonly the threshold at which the system stops or what happens after it is wrong.

The CGU preamble is emphatic and sits in bold at the top of the agreement: outputs are not legal advice, are not final, must be validated by a legal professional such as an avocat, and the user assumes entire responsibility for their use. Against that, the product markets agentic systems that plan, orchestrate several steps and carry legal tasks through from end to end, with more than 200 workflows designed and validated with in-house lawyers. Those two statements are in tension and nothing reconciles them. What the tension reveals is the limb that is missing rather than a reason to downgrade for its own sake: no threshold is published at which an agent stops and hands back, no review surface is described inside the workflow, and nothing states what happens after an agent is wrong. The contractual commitment to human validation is real and the control structure around it is not published.

Ordalie
BB on Autonomy and Oversight ModelA written commitment that the models work alongside a supervising lawyer, with real review surfaces, short of the full control structure: commonly the threshold at which the system stops or what happens after it is wrong.

A written commitment that the product works alongside a supervising lawyer, with real review surfaces, short of any threshold at which it proceeds alone. The review surfaces are concrete and are the strongest part of this row: every answer carries clickable source dots the user opens to confirm the detail, the editor ships track changes where every modification is traceable, commentable and reversible, and the Ledger documentation tells the user in terms that its filters are there to help review and not to replace checking the cited source. The route back to human judgement is contractual, Terms of Use 5.2 stating that Ordalie is not authorised to provide legal services and that the texts, positions and analyses it presents do not constitute legal recommendations or professional legal advice, and encouraging the user to seek the opinion of a duly qualified professional. Human oversight is also one of the five named dimensions of the CNB alignment claim. R37 rule 2 governs what holds it off A. The same estate markets workflows that return a finished deliverable ready to export as PDF or share with your client, and press material describes automating up to eighty per cent of repetitive tasks, which cannot sit comfortably alongside a review-every-answer posture. The conflict is not itself the downgrade; what it reveals is that no threshold, confidence boundary or class of work is published at which the system runs without a reviewer, and no statement addresses what happens after it is wrong. That is the limb the B band names. Verified 12 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.

Jimini AI
BB on Operational and Outcome EvidenceReal deployment evidence with substance, short of full attribution or measurement: a named customer without figures, or figures without the named customer.

Named deployment evidence with substance, short of measurement. A case study on the vendor's own blog dated 26 June 2025 names Hoche Avocats, describes a three-month trial followed by adoption across corporate, tax, employment, technology and litigation departments, and sets out how the rollout was co-managed by partners and associates and how prompts were built from the firm's own agreement frameworks and M&A audit reports. Attributed quotes name Louis Oudot de Dainville, partner at Gide Loyrette Nouel, and Jacques Perotto, partner at Alerion. The Paris Bar partnership is dated May 2025 with its terms stated, three months' free access for firms of one to twenty lawyers, and Pierre Hoffman is quoted as Batonnier. A user count of more than 6,000 avocats and juristes is published. What is absent is a documented outcome: the Hoche study reports no measured result, and the hours-saved-per-lawyer figure on the home page sits in a hero counter with no method, no cohort and no date behind it, which is a claim rather than a measurement and would not carry this axis to the top band in any event. As a limit on this record rather than on the vendor, that counter's numerals render through an animated component that did not resolve on fetch on 4 September 2026.

Ordalie
BB on Operational and Outcome EvidenceReal deployment evidence with substance, short of full attribution or measurement: a named customer without figures, or figures without the named customer.

Real deployment evidence with substance on both limbs separately and neither joined to the other, which is the B band in its exact terms. Customers are named: a logo strip headed as legal teams who use Ordalie daily carries Mondial Relay, Radio France, Ifop, Aramis Group, the Congres des Notaires de France, Editions Tissot, Carlini Avocats and Gouache Avocats, a mix of corporate legal departments, an institution and two law firms. Three testimonials are attributed to a named individual and organisation, including the legal department of SNCF Connect and Tech and the Congres des Notaires de France, which under R122(2) is named customer evidence rather than outcome evidence and is counted here as attribution, not as a result. Figures are published separately: eight hours saved per week on average, a case timeline in three minutes against a stated manual baseline of three hours, and an hour instead of a full day. The two never meet. Not one figure is attached to a named customer, no date appears against any deployment or any figure on the surfaces read, and no method is published for the eight-hour average, so a reader cannot tell what population it was drawn from or over what period. That is precisely what the B band describes, a named customer without figures and figures without the named customer. The case studies and news estate were not opened; under R25 they corroborate rather than carry a row standing on the strip itself, and they are the artifact that would move this row if they carry dates and a stated basis. Verified 12 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.

Jimini AI
AA on Privilege and Confidentiality PostureWritten commitments a buyer can read before signing: no training on client data, segregation documented at the level the buyer segment requires (matter level walls for a firm, tenant level separation for an in house team), privilege and work product handling addressed directly, retention and deletion stated, and the position on third party model providers made explicit.

Every limb is met and read before signing. Training is prohibited in the CGU itself and the prohibition extends to suppliers. Segregation is documented at both levels the buyer segments need: data is logically partitioned by user and by organisation, personal and enterprise libraries are stored in isolation, and access runs through Auth0 by Okta on a least-privilege basis with access logged and audited. Professional secrecy is addressed in a dedicated clause rather than by implication, citing article 66-5 of the law of 31 December 1971 and article 2.3 of the Règlement Intérieur National, acknowledging the absolute and public-order character of the obligation, and stating that no data in submitted documents is accessible to third parties or used for any purpose other than providing the service. Retention and deletion are published as a per-category table with a certificate of destruction available on request. The position on model providers is the strongest part: each inference provider is named with its location and the specific basis of its zero-retention engagement. The middle band's two named gaps, silence on segregation between users and silence on what the model provider may retain, are both false of this record, which is what decides it.

Ordalie
BB on Privilege and Confidentiality PostureSubstantive published commitments on confidentiality and training use, short of the full picture: commonly silence on segregation between users or matters, or on what the underlying model provider may retain.

Four of the five A limbs are met and met contractually, and the fifth fails, so the conjunctive band gives B. This is the closest call on the record and the note names the whole of it. Training: Terms of Sale 9.1 states flatly that client data is not used to train models, which is the agreement rather than a policy page. Segregation: case-based spaces, projects gathering a matter's material, role-based permissions, personal connections kept private from organisation connections, personal tags, and a statement that a user's own sources are never accessible to other users. Privilege addressed directly, which R33 makes decisive and which most records fail: legal privilege is named as the governing constraint on the lawyer-facing surface and carried as its own security commitment, and clauses 7.1 and 9.3 give it a mechanism rather than a slogan, an irrevocable undertaking binding Ordalie and its employees not to use or reveal the content of documents transmitted, with liability expressly acknowledged for breach, and a single narrow exception for salaried developers correcting a processing error, limited to files that errored, refusable by the customer, with correction copies irretrievably destroyed twenty-four hours after the error. Third-party model providers: made explicit, the inference providers being contractually required to process in France, not to reuse client data for training and not to retain prompts, outputs or associated metadata. The limb that fails is retention and deletion stated. Deletion is stated well; retention is not, and worse, it is stated inconsistently, the pricing matrix offering unlimited history on the paid tiers while the documentation says conversations are kept for thirty days, and the agreement giving no period at all for uploaded documents. Verified 12 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.

Jimini AI
AA on UPL and Professional Responsibility PostureThe vendor states plainly what the product is and is not, who may use it, and how it supports a lawyer’s competence and supervision duties. Jurisdiction limits are named and any consumer facing surface carries a clear disclosure.

The CGU preamble states in bold that outputs are not legal advice and must be validated by a legal professional, that Odysai is not a law firm and provides no legal advice, and then names the governing statute: under the law of 31 December 1971 as amended, Odysai, its officers and its employees do not carry on legal consultation, the drafting of private deeds, or representation. Naming the French UPL statute directly is rare. The audience is limited expressly to users acting in a professional capacity, and consumer mediation under articles L.611-1 of the Code de la consommation is disapplied on that basis, so there is no consumer surface to disclose on. The jurisdiction is stated throughout as continental and French law. The vendor's own help centre article on déontologie engages the CNB's recommendations and the EU AI Act compliance timetable. Competence and supervision are carried by the validation requirement rather than by a separate competence statement, which is the one place a reader must infer.

Ordalie
BB on UPL and Professional Responsibility PostureA real position is published on advice versus tooling, short of full treatment: commonly a disclaimer without the supervision and competence dimension, or silence on jurisdiction limits.

A real published position on advice against tooling, reaching further into the supervision dimension than most records at this grade, short of the treatment A asks for. The advice line is drawn in the agreement rather than in a footer, Terms of Use 5.2 stating that Ordalie is not authorised to provide legal services, that the texts, positions and analyses presented, suggested or found are not legal recommendations or professional legal advice, and directing the reader to a duly qualified professional. That is specific about what is disclaimed and it is readable before signing, so C does not fire. The supervision dimension is touched rather than left out, which is unusual: the vendor states that the product is designed to align with the French national bar council's guidance on AI use by lawyers and enumerates human oversight and traceability among the dimensions, which engages the duty rather than merely disclaiming advice. What holds it off A is who may use it and where. Three professional audiences are addressed by name, lawyers, in-house counsel and notaries, but the free plan is open self-serve to anyone with an email address and nothing published states that the product is for professionals only or addresses use by a non-lawyer, the nearest thing being a contractual bar in clause 3.1 on registering under a false professional status, which polices accuracy of a declaration rather than eligibility. No jurisdictional limit on reliance is stated, on a product answering across five named jurisdictions, and nothing describes how a supervising lawyer discharges a competence duty over its output. Verified 12 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.

Jimini AI
CC on AI Governance and Bias DisclosureResponsible AI principles are published without a mechanism, a testing regime, or anything a buyer could audit.

This is the weakest disclosure on an otherwise strong record. There is no AI-specific governance framework published: no ISO 42001, no responsible AI page, no named owner accountable for model governance inside the company, no pre-release testing regime described, and nothing at all published about uneven output across matter types or populations. The vendor's help centre article on déontologie engages the EU AI Act timetable and states that technical documentation, the DPA and the security policy are available on request, which places the governing artifacts behind a request rather than in public. ISO 27001:2022 is real and certified but is a security management standard and does not answer this axis. The DPO, Auriane Roussel, is named for data protection, which is a different accountability from AI governance. Checked home page, CGU, privacy policy, trust centre and help centre on 4 September 2026.

Ordalie
CC on AI Governance and Bias DisclosureResponsible AI principles are published without a mechanism, a testing regime, or anything a buyer could audit.

A position exists and no mechanism, testing regime or accountable owner is published, which is C. What is located is an alignment claim rather than a governance programme: the vendor states that the product is designed to align with the CNB's requirements for AI use by lawyers and lists transparency, confidentiality, human oversight, data protection and traceability as the dimensions engaged. That claim is graded on the bar guidance signal, where it earns the named-guidance value, and it is deliberately not credited a second time here, because working one fact across two rows is the error the ground rules warn about most. Read as governance it is an assertion of compliance with an external framework, unaudited, with no mapping document, no published assessment against the seven requirements and nothing a buyer could inspect. R36 is the calibration point and it cuts against a B: ISO 42001 earned a B because it is independently audited, and there is no ISO 42001 here. SOC 2 Type II and ISO 27001 are security attestations and are graded on the certifications row. Nobody inside the vendor is named as accountable for AI, nothing is published about what is evaluated before a model or a workflow ships, and no incident or failure has been disclosed. Bias is addressed nowhere, and the shape it takes on this product is worth naming: answers are assembled from source families the user switches on and off across five jurisdictions of very different depth, so output quality is structurally uneven across practice areas and jurisdictions, and nothing published examines that. Verified 12 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.

Jimini AI
AA on AI Safety and Data StewardshipRetention, deletion, access control, subprocessors and incident practice are all published, current, and specific enough to hold the vendor to.

The full set is published and specific enough to hold the vendor to. Retention is a per-category table: document library and AI prompts and responses for the life of the account plus 30 days, account data one year after last connection, billing data ten years, Word and Outlook add-in document and email content not stored at all, connector data processed in real time with zero storage. Deletion is specific, with account deletion executed within the day, aggregated usage data removed within the month, and a certificate of destruction issued on request. Access control names Auth0 by Okta, least privilege, logged and audited access, AES-256 at rest and TLS 1.3 in transit, logical partitioning by user and organisation, and vulnerability testing every six months. Subprocessors are fully named in a table with role, location and zero-retention status, with 30 days' advance notice of any addition or replacement, a right to object, and a right to terminate without penalty if an objection is not resolved. Incident practice is stated on both sides: notification to the customer within 24 working hours of qualifying a breach and to the CNIL within 72 hours under article 33.

Ordalie
BB on AI Safety and Data StewardshipSubstantive published policy covering most of the ground, short of the full set: commonly no named subprocessor list or no stated incident practice.

Four of the five limbs are published and specific and the fifth is both vague and self-contradictory, which is B. Access control: AES-256 at rest and HTTPS/TLS in transit, account isolation, access to content limited to authorised persons and logged where needed for security, operation or support, role-based permissions, and SSO/OIDC with access governance on the top tier. Subprocessors: a genuine named list in the privacy policy at article 3.4, Scaleway for hosting, AI inference providers including Azure France, and Stripe for payment, each with its function stated, updated 6 June 2026. Incident practice: Terms of Sale 9.4 commits to notifying the customer without undue delay of a personal data breach so the customer can meet its own obligations. Deletion: unusually precise, content erased immediately and irreversibly from production environments when a user deletes it or the applicable period ends, with residual copies acknowledged as remaining in encrypted backups until overwritten, which is a more candid account of backup reality than this corpus usually sees. Retention is the gap and it is a real one. No period is stated for uploaded documents anywhere in either agreement, the contractual formula being the period applicable to the relevant workspace or organisation without saying what that period is or who sets it. The documentation states that conversations are kept for thirty days while the pricing matrix sells unlimited history on both paid tiers, and nothing reconciles them. The retention-side commitment that is specific runs to the inference providers rather than to Ordalie: they are contractually barred from retaining prompts, outputs or associated metadata. Verified 12 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.

Jimini AI
CC on AI Liability and RecourseLiability is addressed only through a standard limitation clause that disclaims the exposure the product creates.

This is the sharpest gap in the record and it sits against an otherwise exceptional set of published commitments. The CGU's limitation of liability clause is an exclusion and nothing more: the company is not liable for damage arising from unavailability caused by factors outside it, from use of outputs without prior validation by a qualified legal professional, from user breach, or from external attack. The intellectual property clause adds that the company cannot be held responsible for outputs or their use, expressly including error, approximation, or content a third party may claim. There is no indemnity running to the customer, no liability cap expressed as a figure or a multiple, no warranty of any kind on the service or its output, and no insurance position was located on the home page, CGU, privacy policy, legal notices or trust centre on 4 September 2026. What is published is a clear allocation that the user bears the loss, and a buyer can read it before signing, which is why this sits at C rather than at the floor. The exposure the product creates is erroneous legal output and the clause disclaims precisely that.

Ordalie
BB on AI Liability and RecourseA real published position on liability, short of the full picture: commonly a stated indemnity without scope or caps.

A real published position on liability that goes beyond disclaiming, short of anything that reaches the exposure the product actually creates. C does not fire, and the word that decides it is C's own: liability is not addressed only through a limitation clause. Two provisions go further. Terms of Sale 7.2 is an undertaking to carry professional liability insurance and any policy covering the risks of its activity, which is a published insurance position and is rare in this corpus. Clauses 7.1 and 9.3 close the confidentiality undertaking with an express acknowledgement that Ordalie may be held liable for breach of it, which is a vendor accepting liability by name rather than excluding it. The limitation itself is comparatively narrow as drafted, Terms of Use 5.4 limiting liability to direct and proven damages rather than excluding whole categories of loss. What keeps it well short of A is that none of it is quantified or invocable and none of it touches accuracy. No indemnity of any kind was located. No cap figure, no insurer, no cover limit and no statement that the customer benefits from the policy. No warranty of output, and the opposite: Terms of Use 5.1 supplies the site on a best-efforts basis with no obligation of result and tells the user they proceed at their own risk, and Terms of Sale 8.2 makes the user solely responsible for their use and disclaims responsibility if the service does not meet their needs. The availability target of 99.95 per cent is expressly stated not to be an obligation of result and not to found any liability action, which sits against the pricing page selling priority support with an SLA on the top tier. So a buyer relying on a wrong answer has recourse to nothing published. Verified 12 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.

Jimini AI
AA on Practice Systems Integration DepthDocumented, verifiable integrations into the systems legal work already lives in, with the depth described: what syncs, in which direction, and what a firm must configure.

Integrations are into the systems legal work actually lives in, and the depth is documented rather than listed. Jimini pour Word and Jimini pour Outlook each have their own product page and are included in the subscription, with functions named per surface: drafting, analysis, correction, comparison and translation in Word; drafting, thread summarisation and text improvement in Outlook. Connectors run to Google Drive and SharePoint. The privacy policy then documents each integration's data flow to a level most vendors never publish: for the add-ins, document and email content including attachments is processed and discarded rather than stored, with only the prompt and the generated response retained; for connectors, only files the user selects are accessed, processing is real time with no storage beyond immediate use, access is revoked immediately on disconnection or account deletion, and Google connector handling is stated to follow the Google API Services User Data Policy. What syncs, in which direction, and what the firm must enable are all answerable from published material. No legal-specific document management system such as iManage or NetDocuments is named.

Ordalie
AA on Practice Systems Integration DepthDocumented, verifiable integrations into the systems legal work already lives in, with the depth described: what syncs, in which direction, and what a firm must configure.

Documented, verifiable integrations into the systems legal work already lives in, with direction and configuration described, which is every limb of the A band. Eighteen connectors are named and each carries its own documentation page: SharePoint, Workspaces, OneDrive, Outlook, Gmail, IMAP, Google Drive, Dropbox, Box, Nextcloud, Tomorro, Eudonet, Odoo, Nuxeo, iManage, Secib Neo, Microsoft Teams and Managed APIs, with Agestia named alongside. Two of those are the systems this axis exists to test: iManage, the document management system a large part of the profession runs on, and Secib Neo, a French law-firm practice management platform. Direction is stated rather than implied, and stated per connector: iManage is brought in read-only through OAuth using credentials generated in iManage Control Center, Dropbox and Box can be granted write access so Ordalie saves produced documents back and creates folders, and the general rule is published that a read connection browses and previews while a write connection returns output to the source. What a firm must configure is published to the field: tenant, site, client ID and secret or a certificate for organisation-wide SharePoint, WebDAV URL and credentials for Nextcloud, instance URL, optional database name and API key for Odoo, and a documented choice for iManage between one shared connection and each member signing in individually. Personal against organisation scoping is documented throughout, as is revocability. Two limits are recorded and neither is an A limb: there is no public developer API, the managed APIs being described as for AI-assisted work rather than a general developer console, and two-way synchronisation is routed to the separate Vault module. Verified 12 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.

Jimini AI
AA on Deployment Model and Data ResidencyDeployment options and data residency are published, including the regions available, what changes between tiers, and where processing happens as distinct from where data is stored.

Residency is stated flatly — all customer data is stored in France — and then evidenced rather than asserted. The platform at app.jimini.ai is hosted by Scaleway and S3NS, both named with Scaleway's registered address given and both stated to hold servers physically located in France, Paris region. Processing location is published as distinct from storage location and is named per inference provider: Mistral AI in France, OpenAI's Europe deployment in the European Union, and Anthropic Claude models through Google Cloud Vertex AI in Belgium at europe-west1. Tenancy is stated separately as logical partitioning by user and by organisation. The marketing site itself is documented as setting no audience-measurement cookie and storing nothing on the visitor's device. The band's limb on what changes between tiers has nothing to bite on, because Jimini publishes a single hosted deployment in a single country rather than a set of options, and the limbs that do apply are answered to the cloud region.

Ordalie
AA on Deployment Model and Data ResidencyDeployment options and data residency are published, including the regions available, what changes between tiers, and where processing happens as distinct from where data is stored.

Regions, tier differences and the processing-against-storage distinction are all published, which is the full A band and makes this the strongest residency disclosure located in this pull. The region is named and then named again at the level below: hosting is in France, and the host is identified as Scaleway with its corporate registration and its registered office given in both agreements, with the privacy policy going as far as the specific site, Paris 2. What changes between tiers is published on the pricing matrix rather than left to a sales conversation: on-premise deployment is marked absent on the free and PRO tiers and present on MAX, alongside SSO/OIDC and access governance, and the enterprise route is described as adding on-premise or private hosting and custom connectors. The limb almost every record in this corpus misses is the one this vendor answers most deliberately. Where data is stored and where it is processed are addressed separately and by different mechanisms: storage sits with Scaleway in France, while inference is performed by third-party providers, including Azure France, that are contractually required to process the data in France. So a buyer is told not merely that the service is French-hosted but that the model call does not leave the jurisdiction either, and is told which instrument makes that true. Recorded and not credited, because it belongs to other rows: the same clause bars those providers from retaining prompts and outputs, which is stewardship, and identifies them, which is supply chain. One honest limit on the record: no region other than France is offered, so this is a single-region product, and the disclosure is complete rather than the choice being wide. Verified 12 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.

Jimini AI
BB on Security Certifications and Trust CenterCertification is real and stated, short of accessible evidence: a named standard without scope, date, or a way to obtain the report.

Better evidenced than most records in this band and short of the top on two limbs. A trust centre is live at trust.jimini.ai, publicly reachable with no sales call, no email capture and no NDA click-through, listing the entity as ODYSAI, showing ISO 27001:2022, enumerating 114 controls grouped under business operations, governance, asset management and risk management, and reporting a last refresh a day before the check. The DPA goes further than the portal by publishing the certificate number IC-IS-2506288 and its validity to 17 June 2028, which lets a buyer verify the certificate independently. Two limbs are missing: no certification body or auditor is named on any surface read, and no attestation report was located as obtainable — the portal lists a single document without identifying it in what rendered. This is the R16 band gap appearing from the opposite direction, a record with a public portal, a certificate number and an expiry date but no named auditor and no reachable report. Checked 4 September 2026.

Ordalie
BB on Security Certifications and Trust CenterCertification is real and stated, short of accessible evidence: a named standard without scope, date, or a way to obtain the report.

Certification is real, named and stated in the vendor's own voice, with no route to the evidence, which is the B band. Two standards are claimed, SOC 2 Type II and ISO 27001, and they appear on the lawyer-facing page, in the answer to a direct FAQ question about client data protection, in a certifications panel and in the site footer. C does not fire, for two reasons that are worth separating. These are not unexplained badges: the claim is made in prose, in response to a question a buyer would actually ask, and it is accompanied by an infrastructure panel giving a last audit of January 2026 and a commitment to annual security audits, so a date of sorts is published. And R16 does not bite the way it did on comparable records: the subject of the sentence is Ordalie, not its host, and the vendor does not reach for Scaleway's certifications to stand in for its own. What is missing is the whole evidentiary apparatus that A requires. No auditor is named for either standard. No report period or observation window is given, no certificate or report number, and no scope statement saying which systems or trust services criteria the SOC 2 covers. There is no trust centre of any kind, and no route to a report at all, not even a sales-gated one: the site's own Security link in the footer resolves to the privacy policy rather than to a security page, so the page inventory contains no security surface. R5 is therefore not reached, because there is no access flow to grade. Nothing is published on penetration testing, vulnerability remediation or an incident response function. Verified 12 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.

Jimini AI
BB on Model Supply Chain DisclosureThe supply chain is partly disclosed: providers named without change notification, or architecture described without the providers.

The most complete supply chain disclosure this pull has seen. The CGU publishes a subprocessor table naming every provider with access to customer data, its role, its location and the specific basis of its zero-retention engagement: Mistral AI SAS for inference in France on documented activation, OpenAI's Europe deployment in the EU under a signed contractual amendment, and Google Cloud Vertex AI carrying Anthropic Claude models in Belgium europe-west1 under written supplier approval, alongside Scaleway and S3NS for hosting, Gradium SAS for voice transcription, DeepL for translation, Legal Data Hunter for legal research and Cloudflare for transit only with no storage. The privacy policy repeats the inference provider list independently. Change notification is committed at 30 days with a right to object and to terminate without penalty. One limb is only partly satisfied and is named here rather than glossed: Anthropic Claude is identified as a model family, but the specific Mistral and OpenAI models are not named, and the home page describes continuous selection and orchestration of the best models per task, so which model handles a given request is not disclosed. Adjudicated to B on 4 September 2026 under R34: provider identification and model naming are separate limbs of the A band, and the second is not met. The provider disclosure remains the strongest in the pull and the grade reflects the missing limb only.

Ordalie
BB on Model Supply Chain DisclosureThe supply chain is partly disclosed: providers named without change notification, or architecture described without the providers.

A provider is named and no model is, with no change notification, which is the first limb of the B band exactly. What is disclosed is more than most: privacy policy article 3.4 identifies AI inference providers, including Azure France, as a category of recipient, states what they are contractually required to do, and Terms of Sale 9.1 repeats the naming, so a buyer learns that inference runs through Microsoft's French Azure estate and not merely that advanced models are used. Where the models run is stated, in France, contractually. R34 governs the rest and holds this at B: the A band lists the models being named and their providers being identified as separate limbs, and no model or version is named anywhere. The vendor's tier language, basic against advanced legal AI models, is a commercial label rather than a disclosure. No commitment to notify customers when the model or provider changes was located; the fifteen-day notice in Terms of Sale 2.3 attaches to deletion or major modification of a service, which is a different object, and the subprocessor list is framed as accurate as of the date of the policy update rather than as maintained. The genuine tension on this row is recorded rather than resolved: the company's own positioning, and press coverage repeating it, is that Ordalie develops its own models, while its published documents name third-party inference providers. Both can be true at once, but nothing published reconciles them, so a reader cannot tell whether a given answer came from a model Ordalie built or one it rented. Verified 12 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.

Jimini AI
BB on Commercial TransparencyReal pricing is published for part of the range, with enterprise tiers withheld, or the unit and structure are stated without the figure.

Two named plans are published with their feature splits: an individual plan carrying all tools, the Microsoft extensions, AI workflows and data confidentiality, reachable through a self-serve signup with a two-week free trial and no sales contact; and an organisation plan adding collaboration features, training and onboarding, a usage dashboard and centralised billing, routed to the sales team. The CGU establishes the charging terms directly — self-serve rates are those displayed on the site at subscription, expressed in euros excluding tax, billed monthly or annually at the subscriber's choice, with 30 days' notice of any price change and a right to cancel before it takes effect. The individual figure itself was not read: the pricing page renders its numerals through the same animated counter component that obscured the home page statistics, and a search of the indexed page did not recover them. The CGU confirms figures are displayed at the point of subscription, so this is a limit on the retrieval rather than a gap in the publication, and it is recorded as such. Real pricing published for part of the range with the enterprise tier withheld is the middle band exactly.

Ordalie
AA on Commercial TransparencyA buyer can learn what this costs without entering a sales process: published rates, the unit being charged, and what implementation adds.

A buyer can learn what this costs without speaking to anyone, which is the A band, and the surrounding commercial mechanics are published to a level few records reach. Rates: a free plan at zero, PRO at 75 euros excluding VAT per user per month, MAX at 99 euros on the same basis, with annual billing at a stated ten per cent discount, giving 67.50 for PRO. The unit is named explicitly and repeatedly, per user and per month, and the VAT treatment is stated. The structure is set out in a twenty-six row comparison across the three tiers covering models, query volume, history, source limits, uploads, exports, collaboration, integrations, governance and support, with an explicit legend for included, limited and not included. What implementation adds is answered for the self-serve range: purchase is by card or SEPA through a Stripe portal, seats are added or removed by an administrator with immediate prorated effect, plan changes prorate in both directions, monthly carries no commitment and cancels in a few clicks with no notice period, annual is billed once for twelve months, and invoices are consolidated and self-downloadable. Two things are recorded and neither displaces the grade. The enterprise route beyond MAX is quote-based, covering Vault, on-premise or private hosting, custom connectors and pilots, which is the ordinary withholding at the top of a published range. And the same page contradicts itself about what the top tier includes, the matrix ticking the Vault module and on-premise deployment for MAX while the FAQ places both beyond MAX in the enterprise offer. The Terms of Sale add a third conflict, stating prices include VAT at twenty per cent where the pricing page says all prices exclude it. Verified 12 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.

Jimini AI
BB on Firm and Practice CoverageSegment and practice coverage is described with substance, short of the boundaries: what is supported is clear, what is not is left open.

Segment coverage is described with real substance. The pricing page addresses independent avocats and organisations, splitting the latter into law firms and corporate legal departments, and the bar partnerships size the segment precisely, with the Paris agreement covering firms of one to twenty lawyers. The customer set spans both sides, naming law firms such as Gide Loyrette Nouel, Capstan, Hoche Avocats, FTPA and Franklin alongside corporates including CMA CGM, Petit Forestier, Léon Grosse and In Extenso. Practice coverage is evidenced through the agentic workflow library, which is filterable by affaires, civil, immobilier, pénal and public. The jurisdictional boundary is stated plainly and repeatedly as continental and French law. What is left open is the far edge: no statement says which practice areas are not supported, government use is not addressed, and the five workflow filters are a library taxonomy rather than a declared scope of support.

Ordalie
BB on Firm and Practice CoverageSegment and practice coverage is described with substance, short of the boundaries: what is supported is clear, what is not is left open.

Who this serves and what it covers are described with real substance, and the boundaries are left open or stated inconsistently, which is B. The audiences are three and each has a page of its own rather than a line in a list: lawyers in private practice, in-house counsel, and French notaries, the last being a genuinely distinct professional segment this corpus has not seen addressed before, supported by named notarial customers and workflows built for notaries. Collaboration is described at firm level, with shared case files, role-based permissions and a private space per lawyer. Practice coverage is enumerated rather than claimed: the source documentation lists the 102 French codes by category, names the courts whose decisions are carried, identifies BOFiP for tax, and describes how a practitioner narrows the perimeter, with a worked example of a business-law specialist switching off the public health and urban planning codes. Real limits are published, which is more than most: jurisdictions are selectable rather than assumed, uncovered countries are requestable, and the Ledger documentation warns that its filters may be incomplete. What holds it off A is that the boundary is not drawn where a buyer needs it. No firm size or segment is stated anywhere on the vendor's own surfaces, no practice area is identified as unsupported, and government use is not addressed. More sharply, the coverage claim itself is inconsistent across live surfaces: the lawyer page and FAQ describe 3.5 million official texts across eight jurisdictions and name them as France, the EU, Germany, Italy, Spain, Belgium, Switzerland and Luxembourg, while the source documentation describes France, the EU, Luxembourg, Great Britain and Switzerland, carries no German, Italian, Spanish or Belgian corpus at all, and its own metadata says two million references. Verified 12 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?

Jimini AI
Never, in the contract

The data processing agreement inside Part III of the CGU states that data is in no case used to train artificial intelligence models, neither Odysai's own nor those of its providers. The privacy policy repeats the prohibition separately for library documents, for prompts and responses, and for files reached through the Google Drive and SharePoint connectors. Every named inference provider is bound by a zero data retention agreement covering both retention and training, with the nature of each engagement specified per provider in the subprocessor table.

Ordalie
Never, in the contract

The prohibition sits in the agreement rather than on a policy page, which is what separates this value from the one below it. Terms of Sale clause 9.1, inside the section governing user documents, states plainly that client data is not used to train models, and the same clause binds the layer where the risk actually sits, requiring the AI inference providers to process in France and not to retain prompts, outputs or associated metadata.

The privacy policy at article 3.4 states the training bar against those providers expressly, requiring them not to reuse client data for training, and article 3.6 adds a narrower but sharper commitment for connected Google accounts, that Ordalie does not use Google Workspace or Google user data to develop, train or improve any generalized artificial intelligence or machine-learning model. The marketing says the same thing in the same terms, that no data is reused to train AI models, neither the lawyer's nor the client's. Three qualifications belong on the record so the value is not read as wider than it is.

The processing purposes listed in both the Terms of Use and the privacy policy include provision, customization and improvement of the services, an improvement right that names neither training nor machine learning; under the R28 naming test that is not a training permission, and the express clause 9.1 governs in any event, but a buyer should see that the two sit in the same estate. The Google clause is limited to generalized models, which leaves customer-specific tuning of Google-sourced content unaddressed in either direction. And no data processing addendum exists to carry the commitment into a signable annex.

Prompt and Output Retention

How long does the product keep what a lawyer typed, and can that be set to zero?

Jimini AI
Disclosed fixed window

The retention table in the CGU publishes a fixed window the customer does not set: prompts and AI responses, and the document library, are kept for the life of the account plus 30 days. Word and Outlook add-in content is not stored at all, only the request and the generated response, and connector data is processed in real time with zero storage. A user can delete an individual conversation at any time from their personal space and can request early deletion, but the retention period itself is published rather than configurable.

The Zero Data Retention badge on the home page describes the commitment binding the model providers, which is that no customer data is kept or trained on after inference; it does not describe Odysai's own storage, which the table sets out separately.

Ordalie
Disclosed fixed window

A fixed window is disclosed for prompts and outputs, and the vendor's own surfaces disagree about it, which is the finding on this row. The most specific and most recent statement is in the legal research documentation, last updated 5 September 2026: conversation history is listed by date and kept for thirty days. The pricing matrix, live on the same estate, sells history as a tiered feature and gives it as seven days on the free plan and unlimited on both paid plans.

Thirty days and unlimited cannot both describe the same retention behavior, nothing published reconciles them, and R37 rule 2 governs: neither is picked as the favorable one, and what the conflict reveals is that no authoritative retention statement exists for the record a lawyer's questions and the answers create. The agreement is no help on the point, Terms of Sale 9.1 and 9.4 both deferring to the period applicable to the relevant workspace or organization without stating what that period is or who sets it, which is why the customer-controlled value is not taken either.

What the vendor does state precisely is the deletion behavior once a period ends or a user deletes: immediate and irreversible erasure from production environments, with residual copies acknowledged as persisting in encrypted backups until overwritten. The strongest retention commitment on the record runs to somebody else, the inference providers being contractually barred from retaining prompts, outputs or associated metadata at all.

Ethical Walls and Matter Segregation

Does retrieval respect the firm’s ethical walls, or can the model read across them?

Jimini AI
Own model, documented

The CGU security clause records logical partitioning of data by user and by organization, and the privacy policy adds that raw files are stored in isolation per user or per organization with access controlled through Auth0 by Okta on a least-privilege basis and access traced and audited. The permission model is Odysai's own rather than one inheriting a document management system's access control at query time. Segregation is documented at user and organization level; no material describes permissioning between matters within a shared enterprise library.

Ordalie
Own model, documented

The product maintains its own documented permission model that the firm has to keep aligned, which is this value rather than the one above it. The model is real and described at several levels: case-based spaces with role-based permissions, activity history and secure sharing; projects that gather one matter's material; a private space retained by each lawyer within a shared firm workspace; personal tags visible only to their owner; a user's own added sources stated to be strictly private and never accessible to other users; account isolation; and a split between personal integrations, which stay private, and organization integrations, which an administrator authorizes for named members.

Access to content is stated to be limited to authorized persons and logged where needed. The reason this is not the inherited-permissions value is worth stating precisely, because the product comes close. The iManage connector is documented as configurable two ways, either as one shared connection or so that each member signs in with their own account, and only the second enforces the document system's own access model per user.

Because the vendor documents both and requires neither, retrieval does not enforce the source system's access model at query time as a matter of course, so the burden of correctness sits with the firm's administrators. Two gaps are recorded: nothing published describes a conflicts or ethical wall function by name, and nothing states whether the permission model constrains what the assistant may retrieve as distinct from what a person may open.

Third Party Request and Subpoena Notice

If someone subpoenas the vendor for a firm’s data, does the firm hear about it first?

Jimini AI
Disclosure addressed, notice absent

The privacy policy addresses disclosure under legal obligation three times, stating for library documents, for Word add-in data and for Outlook add-in data that nothing is shared with third parties except for specific technical hosting needs or in the event of a legal obligation. No commitment to notify the customer of such a request was located, and no discretion over notice is reserved either. Searched the CGU including its Part III data processing agreement, the privacy policy, the legal notices and the trust center on 4 September 2026; the professional secrecy clause states that no data in submitted documents is accessible to third parties, which addresses access rather than compelled disclosure.

Ordalie
Disclosure addressed, notice absent

The vendor has told the customer that data can leave and has said nothing at all about whether the customer hears of it, which is this value in its exact terms and the R39 shape. Compelled disclosure is addressed twice and in the same words. Terms of Sale 7.1 gives an irrevocable confidentiality undertaking over data generated by use of the services, carved out for a legal obligation or an injunction from the judicial authority.

Clause 9.3 repeats the identical carve-out for the content of documents transmitted to the platform. Both are otherwise strong provisions, binding Ordalie and its employees and acknowledging liability for breach, which is what makes the omission legible rather than accidental: the vendor drafted the exception deliberately and stopped there. Nothing anywhere commits to telling the customer that a demand has been received, nothing reserves a discretion either way, no attempt to narrow or challenge a demand is promised, and no protective-order cooperation appears, which several records in this corpus do publish.

No transparency report, cadence or aggregate figure exists on any surface read. The discretionary value is false of this record because discretion over notice is never reserved, and the not-addressed value is false because disclosure plainly is addressed. One point of context rather than mitigation: the contracting entity and the data are both French, so a demand would ordinarily run through French judicial process, but nothing published says so and the clause is not limited to French authorities.

Primary Law Corpus Provenance

Where does the law in this product come from, and does the vendor have the right to use it?

Jimini AI
Jurisdictions only

The research product is described as returning answers anchored in recognized sources of law for continental and French law, and Legal Data Hunter is named in the CGU subprocessor table as the legal research provider located in the European Union, which identifies a supplier behind the corpus. No primary law database, publisher or collection is named, no license or public domain basis is stated for any source, and no update cadence is published.

A vendor blog post states that the models are fine-tuned on French legal information, without identifying that material.

Ordalie
Sources named and licensed

Sources are named to an unusual level of detail, the rights basis is stated for each family, and the update cadence is published, which is all three limbs of the top value. Naming: the 102 complete French codes, with main and specialized codes given by name; non-codified laws and ordinances from the Official Journal; case law identified court by court, the Court of Cassation, the Council of State, the courts of appeal, the administrative courts of appeal and certain first-instance courts; the Official Public Finance Bulletin for tax doctrine; the European corpus drawn from EUR-Lex with regulations and directives in force and judgments of the Court of Justice and the General Court; and Luxembourg, Great Britain and Switzerland as further jurisdictions.

Rights basis: Terms of Use 4.1 states that court decisions and legal texts are not subject to intellectual property rights, which is an express public-domain position covering the normative and judicial families, and 4.2 states the position on the analytical family separately, that third-party doctrinal commentary is linked rather than reproduced and that use is limited to isolated words or very short excerpts, with article 8 adding that indexed commentary comes from sources selected for quality or suggested by subscribing clients and that reading it may require a subscription to the third-party site.

Cadence: the corpus is stated to be kept constantly up to date, with daily updating claimed on the product surfaces. Two limits are recorded: no license agreement with any publisher is named, and the eight jurisdictions claimed in the marketing are not the ones the source documentation describes.

Good Law Verification

Does the product tell you when the authority it just cited has been overruled?

Jimini AI
Prompts the user to verify

The CGU preamble requires that results be validated by a legal professional and states they must not be treated as final, and the product is marketed on verifiable sources with answers anchored in recognized sources of law. Nothing on any located surface describes a check for subsequent history, or for whether an authority remains in force. The product retrieves primary law, so the question applies, and the published answer places the check on the reader rather than performing it.

Ordalie
Prompts the user to verify

The product routes the reader to the authority and tells them to check it, and performs no treatment analysis itself, which is this value. The verification apparatus is genuinely good and is graded on the citation accuracy axis rather than credited twice here: sources shown against every answer, clickable citations, precise references to article, judgment number and page, links resolving to Legifrance where possible, and a documentation instruction that the Ledger's filters are there to help review and not to replace checking the cited source.

That is the instruction limb of this value, stated more directly than most vendors manage. What is absent is any subsequent-history function. Nothing published indicates whether a cited decision has been overturned, confirmed, distinguished or departed from, no treatment signal or flag is described, and no method for computing one is published. R15 governs how heavily this should read, and the note says so plainly: the citator is a common-law instrument with no exact French equivalent, and a product answering on French codes and jurisprudence is not failing to ship something its market expects by name.

What the civil-law equivalent would be, the current in-force version of a code article, is partly addressed on the currency side, the corpus being stated as kept constantly up to date and the codes as continuously current. That is a commitment about the corpus rather than a check surfaced on an answer, so it is recorded here and not credited as a treatment signal.

Refusal and Uncertainty Behavior

What does the product do when the answer is not in the corpus?

Jimini AI
Not addressed

No located public material describes what the product does when it cannot ground an answer. The CGU states that the AI system is in a development phase and that outputs may be neither reliable nor final, and the product pages claim verifiable sources, but no abstention path, no no-answer behavior and no confidence or grounding score exposed to the user is described anywhere. Searched the home page, the product pages, the workflows page, the CGU, the privacy policy, the trust center and the help center on 4 September 2026.

Ordalie
Not addressed

No located public material describes what the assistant does when it cannot answer, and this is an established absence rather than an unfinished search. The surfaces where abstention behavior would live were read in full on the date shown: the legal research guide, which walks the full question-and-answer cycle step by step; the sources documentation, which covers how citations are detected and presented; the Ledger documentation; and the lawyer-facing FAQ, including the question specifically asking how Ordalie reduces hallucinations.

Every one of them answers with grounding rather than with abstention. The published account is that each answer is grounded in verifiable official sources and surfaces citations with direct links so any statement can be checked, which tells the reader how to catch an error and not whether the system will decline to make one. Nothing states that a question outside the corpus is refused, that a thin evidentiary base is flagged, that a confidence indicator accompanies an answer, or that an ambiguous question is put back to the user rather than resolved silently.

The nearest thing located is an interface behavior rather than a model behavior: the documentation says that if an attachment is unavailable the export stops and reports the problem rather than returning an incomplete archive. The contrast worth recording is with the marketing, which states that the product does not hallucinate; a categorical claim of that kind makes the absence of any described no-answer path more consequential, not less.

Fabricated Citation Record

Does a public court record exist addressing fabricated or hallucinated legal citations in output from this product?

Jimini AI
None located

The AI Hallucination Cases database maintained by Damien Charlotin was searched on 4 September 2026 on both the product name Jimini AI and the corporate name Odysai. No court order, opinion or disciplinary record naming the product was located. This records the state of the public record on that date and is not a finding about the product.

Ordalie
None located

Searched on 12 September 2026, on the product name and the company name and in French as well as English, against published trackers and coverage of decisions on AI-generated fabricated citations, for any court order, opinion or disciplinary record addressing fabricated or hallucinated legal citations produced by this product. None located. Under R119 this signal records fabricated citations and nothing else, so it is not a litigation history.

Two contextual facts are recorded because they bear on how this result should be read for a French vendor rather than on the vendor itself. French courts have begun encountering the problem, the administrative court of Grenoble in December 2025 describing a claim as manifestly drafted with a generative AI tool and containing fanciful case-law references, and the administrative court of Orleans identifying cited decisions that do not exist; in both the litigant was self-represented and no product was named.

And as of a March 2026 practitioner survey of the French position, no French court had yet sanctioned a lawyer for relying on AI-hallucinated authority, so the absence of a French tracker record carries less weight than a comparable absence in a United States record would.

Bar Guidance Alignment

Has the vendor engaged in public with the ethics opinions its buyers are bound by?

Jimini AI
Named guidance addressed

The vendor's help center publishes an article on déontologie stating alignment with the recommendations of the Conseil National des Barreaux and setting out the ethical principles it considers applicable to AI use by avocats, alongside the EU AI Act compliance timetable. The CGU and the privacy policy both engage the professional secrecy obligation by citation, naming article 66-5 of the law of 31 December 1971 and article 2.3 of the Règlement Intérieur National.

Partnerships with the Paris, Hauts-de-Seine and Nantes bars are published with their own pages. The guidance engaged is that of the French profession only; no other jurisdiction's ethics guidance is addressed and no clause-by-clause mapping of product behavior to named provisions is published.

Ordalie
Named guidance addressed

Public material engages with a named professional body's guidance on AI, which is this value. The vendor states on its lawyer-facing page that Ordalie complies with the seven requirements set by the Conseil national des barreaux, the French national bar council, for the use of AI by lawyers, and answers a dedicated FAQ question on the point, saying the product is designed to align with CNB guidance and enumerating transparency, confidentiality, human oversight, data protection and traceability as the dimensions engaged.

That is a named instrument from the body that regulates the profession the product is sold to, and five of its dimensions are identified rather than gestured at, which puts it above a generic reference. It stops short of the top value for two reasons. Only one jurisdiction's guidance is engaged, and the product is sold across five jurisdictions and to notaries, whose professional regulation is separate and is not addressed.

And no mapping is published: the claim is that the product complies, with no document setting out which feature or control answers which of the seven requirements, no assessment, and nothing a buyer or a bar could audit against. The related institutional fact is recorded and deliberately not credited here, because it is a commercial arrangement rather than an engagement with guidance: the vendor has a publicized partnership with the Paris Bar to promote AI adoption in law firms, and offers Paris Bar members a discount.

Billing and Fee Posture

Does the vendor address what happens to the bill when the work takes an hour instead of six?

Jimini AI
Savings claims only

Public materials claim time savings without addressing billing. The home page publishes an hours-saved-per-week-per-lawyer counter, and the Paris Bar partnership material is framed on immediate time savings on time-consuming legal tasks. Nothing on any located surface addresses what happens to a client's bill when AI-assisted work compresses billable time, and no per-matter record of AI-assisted work is described in the product or the documentation.

Ordalie
Savings claims only

Time compression is claimed repeatedly and prominently, and nothing addresses what happens to the client's bill, which is this value. The claims are unusually specific about the compression itself: eight hours saved per week on average, a case timeline that takes a lawyer three hours by hand and three minutes here, an hour instead of a full day, a structured twelve-page contract draft in fifteen minutes, and a seven-day onboarding path whose stated endpoint is reclaiming hours every week.

Press material repeats a claim of automating up to eighty percent of repetitive tasks. R21 and R24 govern and the question they pose is the one nothing here answers: what happens to the bill when the work takes an hour instead of six. This product sits squarely inside the lawyer-to-client fee relationship, because its primary named audience is lawyers in private practice who bill for the research, analysis and drafting it accelerates, so the outside-the-relationship value is false of it.

No per-matter record of AI-assisted work is described, nothing addresses whether AI assistance is identified on an invoice or disclosed to a client, and no guidance on fee treatment appears, including within the CNB alignment claim, where the enumerated dimensions cover transparency toward the tool's user rather than toward the client paying for the output. The recorded consequence is that the buyer is told what to save and nothing about what to tell the person who was going to be billed for it.

Outside Counsel Guideline Readiness

Can a firm get this vendor through a client’s AI clause without a bespoke negotiation?

Jimini AI
Disclosure pack published

Each of the three limbs is evidenced separately. Subprocessor list: the CGU publishes a current table naming every provider with access to customer data with its role, location and zero-retention basis. Model provider statement: the same table names the three inference providers, Mistral AI SAS, OpenAI's Europe deployment and Google Cloud Vertex AI carrying Anthropic Claude models, and the privacy policy repeats that list independently, so which providers see client content is stated rather than inferred.

Forwardable client-facing material: the data processing agreement is published as the final section of Part III of the Conditions generales d'utilization, headed 'Donnees personnelles, Accord de traitement (DPA)', reachable at https://www.jimini.ai/conditions-generales-utilisation without executing anything or contacting sales, and it carries the Article 28 terms, the subprocessor tables, retention periods, breach notification and the professional secrecy clause. All three artifacts are published in French only, the vendor's own language.

Ordalie
Subprocessors listed

A current subprocessor and model-provider list is published and there is no forwardable client-facing pack, which lands exactly between the top two values and takes the second. The list is real and it is dated: privacy policy article 3.4, last updated 6 June 2026, names Scaleway for infrastructure and data hosting, AI inference providers including Azure France with their contractual obligations stated, and Stripe for payments, with security, application delivery and integration providers named as a residual category.

Under R29 that satisfies the signal's first two artifacts and satisfies them well: infrastructure alone would not do it, and this list goes past infrastructure to identify who performs inference and to state what they may not do with client content, which is the precise question a client's AI clause asks. R29's condition on the top value is what holds it here. A disclosure pack requires client-facing disclosure material published alongside the lists, and the paradigm artifact is a data processing addendum or its subprocessor annex, because an annex is drafted to be forwarded.

Ordalie publishes no DPA. The controller-and-processor allocation exists, at Terms of Sale 9.4, with a breach notification commitment and an offer of assistance on requests, but it sits inside the general sale terms rather than in an instrument a firm could send to its client. So a firm can answer the question from the privacy policy, and it would be forwarding a website privacy policy to do it. Two named gaps: no model is identified, only the provider, and the list is stated as accurate at the update date with no change-notification commitment.

Court Disclosure Support

If a judge’s standing order requires an AI disclosure, can the product produce one?

Jimini AI
Partial record

The product is marketed on answers anchored in recognized sources of law with verifiable sources, so retrieved sources are addressed. No export of a per document record is described, nothing states that the model used for a given request is recorded or disclosed to the customer, and no record of human verification is mentioned. The multi-model orchestration architecture means the model behind any particular output is not surfaced. No disclosure guidance or template for a court was located on any surface checked on 4 September 2026.

Ordalie
Not addressed

No located public material addresses disclosure of AI involvement in work that reaches a court, and the artifacts that come closest are a different object, which is worth distinguishing rather than crediting. The product does generate real provenance: every answer carries the sources it used, citations resolve to the original text, the editor keeps track changes where each modification is traceable, commentable and reversible, and a conversation can be exported in full to PDF or Word with citations, tables and structured results preserved, and with attachments in a single archive.

A lawyer could therefore reconstruct which authorities an answer rested on and what was changed in a draft. What none of it does is record that a machine was involved. Nothing identifies which model produced a passage, nothing distinguishes generated text from human-written or human-corrected text in any export, no disclosure template or court-facing statement is published, and no certification or attestation feature exists.

The Ledger was opened specifically to test this and is a contract and clause review dashboard rather than an activity log, so the absence is established rather than untested. The question has weight here rather than being theoretical: the product drafts submissions and prepares hearings in a jurisdiction whose courts have already begun remarking on AI-drafted filings in published decisions, and nothing the vendor publishes helps a lawyer say what part the tool played.

What neither one publishes

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.

Signals neither addresses in public material
  • Refusal and Uncertainty Behavior

Which one fits

Choose Jimini AI if

  • You need professional secrecy handled in the contract. Jimini's terms carry a dedicated clause citing article 66-5 of the law of 31 December 1971 and article 2.3 of the Règlement Intérieur National, stating that no data in submitted documents is accessible to third parties or used for any other purpose.
  • Your client asks which model providers see its documents. Jimini's subprocessor table names Mistral AI in France, OpenAI's Europe deployment in the EU and Anthropic Claude models through Google Cloud Vertex AI in Belgium, each under zero retention, with 30 days' notice of changes and a right to terminate.
  • You want retention periods you can plan around. Jimini publishes a table: prompts and responses kept for the life of the account plus 30 days, content passed through its Word and Outlook tools not stored at all, connector data processed without storage, and breach notice within 24 working hours.

Choose Ordalie if

  • You want to see the price and start free. Ordalie offers a free plan with ten queries a week, PRO at 75 euros and MAX at 99 euros per user a month excluding VAT, monthly with no commitment, and a discount for Paris Bar members.
  • You want to know exactly which sources answer you. Ordalie names its corpus: the 102 French codes, laws from the Official Journal, decisions of the Court of Cassation, Council of State and appeal courts, tax doctrine and EU law from EUR-Lex, and links citations to the official text.
  • You want a vendor that stands behind its confidentiality promise. Ordalie's terms bind it and its staff never to use or reveal transmitted documents, accept liability for breach by name, and undertake to carry professional liability insurance.

In summary

Jimini AI

Jimini AI, published by Odysai SAS of Nanterre with offices in Paris, is a legal AI assistant for French avocats, law firms and corporate legal departments, covering document analysis, drafting, research grounded in recognized sources and more than 200 agentic workflows, with tools inside Word and Outlook. The AI Legal Index grades it in the top two bands on thirteen of fifteen capability axes, with A grades on privilege, professional responsibility and data stewardship among others. Its terms bar training on customer data, address professional secrecy by statute and name each inference provider. It stores all data in France and partners with the Paris, Hauts-de-Seine and Nantes bars. As of 4 September 2026 the index located no accuracy measure and no liability position beyond exclusions.

Source: AI Legal Index, 2026

Ordalie

Ordalie, from Ordalie SAS of Paris, is a legal AI platform for French lawyers in private practice, in house counsel and notaries that answers questions with sources linked to the official text, drafts contracts, runs packaged workflows and reads across sets of contracts. Its corpus covers the 102 French codes, national case law, tax doctrine and EU law, with further jurisdictions available. The AI Legal Index grades it in the top two bands on fourteen of fifteen capability axes, with A grades on AI centrality, integration depth, deployment and pricing. It bars training on client data in its terms, hosts in France with inference contractually kept there, and prices from a free plan to 99 euros. As of 12 September 2026 the index located no accuracy measure or named model.

Source: AI Legal Index, 2026

Questions buyers ask

Jimini AI vs Ordalie: which is better for a French law firm?

The grid barely separates them: Ordalie sits in the top two bands on fourteen of fifteen AI Legal Index capability axes and Jimini AI on thirteen of fifteen, identical on ten. Ordalie publishes its prices, its full legal corpus and an insurance undertaking. Jimini publishes more detailed commitments on professional secrecy, retention and its model providers. Firms whose first question is data handling have more to read from Jimini.

Do Jimini AI and Ordalie train AI on client documents?

No, by contract in both cases. Jimini's terms state that data is never used to train models, its own or its providers', and bind every inference provider to zero retention. Ordalie's terms of sale state that client data is not used to train models and require its inference providers to process in France and keep no prompts, outputs or metadata. 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 26, 2026. No vendor pays for placement.

Which AI models does Jimini AI use?

Jimini's subprocessor table names Mistral AI for inference in France, OpenAI's Europe deployment in the European Union, and Anthropic Claude models through Google Cloud Vertex AI in Belgium, each under a zero retention engagement. It selects models per task and does not say which handles a given request. Ordalie names Azure France among its inference providers without naming a model. 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 26, 2026. No vendor pays for placement.

How much do Jimini AI and Ordalie cost?

Ordalie publishes a free plan, PRO at 75 euros and MAX at 99 euros per user a month excluding VAT, with ten percent off annual billing and quotes above MAX. Jimini offers an individual plan with a two week free trial, priced on its pricing page in euros excluding tax, which this index could not read, and an organization plan by quote. 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 26, 2026. No vendor pays for placement.

What do Jimini AI and Ordalie both leave unpublished?

An accuracy measure and a check on later case law. Neither publishes an error rate or test set, neither flags whether a cited decision has since been overturned, and neither describes what its assistant does when it cannot find support for an answer. Neither names who is accountable for its AI, and neither records which model produced a given answer. 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 26, 2026. No vendor pays for placement.

Disclosure

Three readings to weigh. Ordalie's own surfaces disagree on retention, its documentation keeping conversations for 30 days while its pricing sells unlimited history, and its pricing page places on premise hosting both inside and beyond its top tier. Jimini's individual plan price is displayed on its pricing page but could not be read by this index, so no figure is stated here. Neither vendor names the specific models behind its answers. Jimini AI was verified on 4 September 2026 and Ordalie on 12 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.

Contact

Correct a record, or ask how something was graded

Every grade and every signal on this index is drawn from public sources and dated. If a record is wrong, out of date, or missing an artifact the index did not locate, send the source and it will be reviewed and the record redated. Vendors are welcome to submit documentation. Nothing on this index is for sale, including a listing, a placement, or a grade.

AI Legal Index

The AI Legal Index is an independent index that tracks changes to AI vendors in legal. It holds 303 vendors across 9 categories, each graded on the same 15 capability axes and recorded against 12 legal signals, from public sources. No vendor pays for inclusion, placement, or rating.

Index Status
Last index update
September 24, 2026
The AI Legal Index is an editorial reference. It is not a regulatory body, not a law firm, and nothing published here is legal advice or a recommendation to retain or avoid a vendor. Records are verified against published sources, bar guidance and public court records. Where a record reads not addressed, the material was not located in public sources on the date shown. See the Methodology page for evaluation standards and limitations.
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