Jimini AI vs Ordalie: how they compare in 2026
Jimini AI and Ordalie are both French legal AI assistants for avocats and in house lawyers. Both are hosted in France on Scaleway, and both bar training on client data in their terms. Where they differ most 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 is stronger on 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.
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.
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.
The CGU defines what is sold as the "Système d'IA" and the Site as an interface for using it. Analysis, drafting and research are all model outputs, and the agentic workflow layer plans and runs tasks with several steps. The home page describes a design in which Jimini selects, orchestrates and continuously optimizes third party models for each task and builds legal reasoning, source handling and workflows on top. Remove the models and no document system or workflow engine is left underneath.
Without the models there is nothing left to sell. Terms of Sale clause 2.1 defines the subscription as three services, all run by AI: an assistant that answers legal questions and analyzes documents, a search engine that uses AI to understand links between legal documents, and generation of contracts, memos and analyses. The only other item is training and support. The legal texts underneath are free on Legifrance, and Ordalie positions itself against manual Legifrance research, so what a customer pays for is the synthesis and the citation. Pricing follows the same logic: tiers differ by which AI models are available and by query volume.
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.
Grounding is real and documented. The research product is described as returning answers anchored in recognized sources of law. Legal Data Hunter is named in the CGU subprocessor table as the legal research provider, located in the European Union. The privacy policy describes the retrieval method: uploaded documents are indexed and split into paragraphs to support search and retrieval. What is missing is a measured figure a reader can examine. Jimini's home page shows a precision claim in a headline counter, with no method, test set or date. No failure modes are named.
Grounding is real and the reader can open it. Every answer shows its sources, with direct links to the original text, references to the article, judgment number or page, and the passages relied on; where possible the link goes to Legifrance. The documentation describes the retrieval: the assistant selects sources, shows which it chose, then sorts and synthesizes them into an answer with matching citations formatted as it writes. The user controls the scope by switching source families and jurisdictions on and off. What is missing: no accuracy figure, error rate, test set or evaluation is published, citation status is not checked, and nothing says what happens when no support is found. The marketing claims no hallucinations.
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 CGU preamble, in bold at the top of the agreement, says outputs are not legal advice, are not final, must be validated by a legal professional such as an avocat, and that the user takes full responsibility for their use. The product markets agentic systems that plan, run several steps and carry legal tasks through from start to finish, with more than 200 workflows designed and validated with in house lawyers. No point is published at which an agent stops and hands back, no review surface is described inside a workflow, and nothing says what happens when an agent is wrong. The agreement requires human validation, and the control structure around it is not published.
Review tools come with a written position that a lawyer stays in charge. Every answer carries clickable source markers, the editor tracks every change so it can be commented on or reversed, and the Ledger documentation says its filters help review and do not replace checking the source. Terms of Use 5.2 says Ordalie cannot provide legal services, that its analyses are not legal advice, and that users should consult a qualified professional. Human oversight is one of the CNB dimensions it claims. What is missing: the same site markets workflows that return a finished deliverable ready to send to a client, and press material claims automation of up to eighty percent of repetitive tasks. No threshold, confidence boundary or type of work is published at which the system runs without a reviewer, and nothing says what happens after it is wrong.
Operational and Outcome Evidence
Named, dated evidence that the product works in production at real firms or legal departments. Case studies with figures and identified customers count. Unattributed testimonials and launch announcements do not.
A case study on the vendor's blog dated 26 June 2025 names Hoche Avocats. It describes a three month trial followed by adoption across corporate, tax, employment, technology and litigation departments, a rollout managed jointly by partners and associates, and prompts 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 of free access for firms of one to twenty lawyers, and Pierre Hoffman is quoted as Batonnier. More than 6,000 avocats and juristes are said to use the product. No measured outcome is documented. The Hoche study reports no result, and the home page figure for hours saved per lawyer sits in a headline counter with no method, cohort or date.
Customer names and time saving figures both appear on Ordalie's site, but never together. Its logo strip of legal teams using it daily includes Mondial Relay, Radio France, Ifop, Aramis Group, the Congres des Notaires de France, Editions Tissot, Carlini Avocats and Gouache Avocats. Three testimonials name a person and organization, including the legal department of SNCF Connect and Tech. Separately, it claims eight hours saved per week on average, a case timeline in three minutes against three hours by hand, and an hour instead of a full day. No figure is tied to a named customer, nothing is dated, and the eight hour average has no stated method.
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.
Every part is covered and readable before signing. The CGU itself prohibits training, and the prohibition extends to suppliers. Separation is documented at both levels buyers need: data is logically partitioned by user and by organization, and personal and enterprise libraries are stored separately. Access runs through Auth0 by Okta on least privilege, with access logged and audited. Professional secrecy has its own clause, citing article 66-5 of the law of 31 December 1971 and article 2.3 of the Règlement Intérieur National. It acknowledges that the obligation is absolute and a matter of public order, and states that no data in submitted documents is accessible to third parties or used for anything other than providing the service. Retention and deletion are published by category, with a certificate of destruction on request. The position on model providers is the strongest part: each inference provider is named with its location and the basis of its zero retention arrangement. Separation between users and what the model provider may retain are both addressed.
Training, separation, privilege and model providers are all covered in the contract, while retention is left open. Training: Terms of Sale 9.1 says client data is not used to train models. Separation: case based spaces, projects per matter, role based permissions, private personal connections, and a user's own sources never visible to others. Privilege: named as a governing constraint, with clauses 7.1 and 9.3 binding Ordalie and its staff not to use or reveal transmitted documents and accepting liability for breach. One narrow exception lets developers fix a processing error; the customer can refuse it, and the copies are destroyed within twenty four hours. Model providers: inference providers must process in France, not train on client data, and not keep prompts, outputs or metadata. Retention is the gap. Deletion is well described, but no period is stated for uploaded documents, and conversation retention is thirty days in the documentation against unlimited history in the pricing table.
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 CGU preamble states in bold that outputs are not legal advice and must be validated by a legal professional, and that Odysai is not a law firm and gives no legal advice. It 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. 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 help center article on déontologie engages the CNB's recommendations and the EU AI Act compliance timetable. Competence and supervision rest on the validation requirement rather than on a separate statement.
Ordalie draws the advice line in its terms. Terms of Use 5.2 says it is not authorized to provide legal services, that its texts, positions and analyses are not legal recommendations or advice, and directs users to a qualified professional. It also claims alignment with the CNB's guidance on AI use by lawyers, naming human oversight and traceability, which touches the supervision duty. What is missing: the free plan is open to anyone with an email address, and nothing says the product is for professionals only or addresses use by people who are not lawyers; clause 3.1 only bars registering under a false professional status. No jurisdiction limit on reliance is stated for a product answering across several jurisdictions, and nothing explains how a supervising lawyer meets a competence duty over its output.
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.
Governance is the weakest part of an otherwise strong record. No AI governance framework is published: no ISO 42001, no responsible AI page, no named owner for model governance, no testing before release, and nothing on uneven output across matter types or populations. The vendor's help center article on déontologie covers the EU AI Act timetable and says technical documentation, the DPA and the security policy are available on request, so the governing documents sit behind a request. ISO 27001:2022 is certified, but it is a security standard and does not answer this question. The data protection officer, Auriane Roussel, is named, but that is accountability for data protection, not AI governance.
The product is designed, Ordalie states, to align with the French national bar council's (CNB) requirements for AI use by lawyers, naming transparency, confidentiality, human oversight, data protection and traceability. That is a claim of alignment with an outside framework, with no mapping, assessment or supporting document published. SOC 2 Type II and ISO 27001 are security certifications, not AI governance. No one is named as accountable for AI, nothing is published about testing before a model or workflow ships, and no incident has been disclosed. Bias is not addressed. On this product the risk is concrete: answers draw on source families the user switches on and off across jurisdictions of very different depth, so quality is likely to vary by practice area and country, and nothing examines that.
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.
Everything is published, specifically enough to hold the vendor to. Retention is set out by category. The document library and AI prompts and responses are kept for the life of the account plus 30 days, account data for one year after last connection, and billing data for ten years. Content from the Word and Outlook add-ins is not stored at all, and connector data is processed in real time with no storage. Deletion is specific: account deletion happens within the day, aggregated usage data is removed within the month, and a certificate of destruction is issued on request. Access control uses Auth0 by Okta, least privilege, and logged and audited access, with AES-256 at rest, TLS 1.3 in transit, logical partitioning by user and organization, and vulnerability testing every six months. Subprocessors are named in a table with role, location and zero retention status. Any addition or replacement comes with 30 days' notice, a right to object, and a right to terminate without penalty if the objection is not resolved. Breaches are notified to the customer within 24 working hours of being qualified, and to the CNIL within 72 hours under article 33.
Most of the ground is published in specific terms. Access control: AES-256 at rest, TLS in transit, account isolation, logged access limited to authorized people, role based permissions, and SSO on the top tier. Subprocessors: the privacy policy (article 3.4, updated 6 June 2026) names Scaleway for hosting, AI inference providers including Azure France, and Stripe for payment. Incidents: Terms of Sale 9.4 commits to notify the customer without undue delay of a personal data breach. Deletion: content is erased immediately and irreversibly from production when deleted or when its period ends, with copies left in encrypted backups until overwritten. Retention is the gap. No period is stated for uploaded documents, and Ordalie's documentation says conversations are kept for thirty days, while its pricing table sells unlimited history. The inference providers are barred by contract from keeping prompts, outputs or metadata.
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.
Liability runs entirely one way in the CGU. The CGU's limitation clause is an exclusion and nothing more. The company is not liable for damage from unavailability caused by outside factors, 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 for the customer, no liability cap as a figure or multiple, and no warranty on the service or its output. No insurance position is published on the home page, in the CGU, the privacy policy or the legal notices, or in the trust center. What is published is a clear statement that the user bears the loss, readable before signing. The risk this product creates is wrong legal output, and the clause disclaims exactly that.
Ordalie publishes a liability position that goes beyond a disclaimer, without reaching AI accuracy. Terms of Sale 7.2 commits it to carry professional liability insurance. Clauses 7.1 and 9.3 accept that Ordalie can be held liable for breaking its confidentiality undertaking. Terms of Use 5.4 limits liability to direct and proven damages rather than excluding whole categories. What is missing: no indemnity, cap figure, insurer or cover limit, and no warranty of output. Terms of Use 5.1 supplies the service on a best efforts basis at the user's own risk, and Terms of Sale 8.2 makes the user solely responsible. The 99.95 percent availability target is stated not to be a binding obligation, though the top tier is sold with an SLA. A customer relying on a wrong answer has no published recourse.
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.
Integrations reach the systems legal work lives in, and the depth is documented. Jimini pour Word and Jimini pour Outlook each have their own product page and are included in the subscription. Word covers drafting, analysis, correction, comparison and translation; Outlook covers drafting, thread summaries and text improvement. Connectors run to Google Drive and SharePoint. The privacy policy documents each integration's data flow. For the add-ins, document and email content, including attachments, is processed and discarded rather than stored, and only the prompt and the response are kept. For connectors, only files the user selects are accessed, processing is real time with no storage beyond immediate use, and access is revoked at once on disconnection or account deletion. Google connector handling follows the Google API Services User Data Policy. What syncs, in which direction and what the firm must enable can all be answered from published material. No legal document management system such as iManage or NetDocuments is named.
Integrations come with their direction and setup spelled out. Eighteen connectors each have a 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 also named. They include iManage, a widely used document management system, and Secib Neo, a French practice management platform. Direction is stated per connector: iManage connects read only through OAuth with credentials from iManage Control Center, while Dropbox and Box can be given write access so output is saved back. Setup fields are published, such as tenant, site and client credentials for SharePoint, and iManage can run as one shared connection or with each member signing in. Two limits: no public developer API, and two way sync sits in the separate Vault module.
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.
Residency is stated flatly, all customer data is stored in France, and then backed with detail. The platform at app.jimini.ai is hosted by Scaleway and S3NS, both named, with Scaleway's registered address given, and both stated to have servers in the Paris region of France. Where processing happens is published separately from where data is stored, and named for each 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 as logical partitioning by user and by organization. The marketing site is documented as setting no audience measurement cookie and storing nothing on the visitor's device. Jimini offers a single hosted deployment in one country rather than a set of options, so there are no tiers to compare.
The region, what changes by tier and where processing happens are each stated. Hosting is in France with Scaleway, named with its registration in both agreements, and the privacy policy names the Paris 2 site. The pricing table shows on premises deployment absent on the free and PRO tiers and present on MAX, with SSO and access governance, and the enterprise route adds on premises or private hosting. Storage and processing are covered separately: data is stored with Scaleway in France, and the third party inference providers, including Azure France, must by contract process the data in France. So the model call stays in France too, and the document that makes it so is named. One limit: France is the only region offered.
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 public trust center is live at trust.jimini.ai, with no sales call, email capture or NDA click through. It lists the entity as ODYSAI, shows ISO 27001:2022, and lists 114 controls grouped under business operations, governance, asset management and risk management. The DPA goes further, publishing certificate number IC-IS-2506288 and its validity to 17 June 2028, so the certificate can be verified independently. Two things are missing. No certification body or auditor is named, and no attestation report is offered; the portal lists a single document without identifying it.
Two certifications, SOC 2 Type II and ISO 27001, are claimed in Ordalie's own name, on the lawyer page, in an FAQ answer on client data, in a certifications panel and in the footer. An infrastructure panel gives a last audit of January 2026 and commits to annual security audits. The claims are about Ordalie itself, not its host. What is missing: no auditor, report period, certificate number or SOC 2 scope is published, there is no trust center and no route to a report, and the footer's Security link leads to the privacy policy. Nothing covers penetration testing, vulnerability fixes or incident response.
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 disclosed in detail. The CGU publishes a subprocessor table naming every provider with access to customer data, its role, its location and the basis of its zero retention arrangement. Inference runs through Mistral AI SAS in France on documented activation, OpenAI's Europe deployment in the EU under a signed contract amendment, and Google Cloud Vertex AI carrying Anthropic Claude models in Belgium (europe-west1) under written supplier approval. The table also lists 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. Changes come with 30 days' notice, a right to object and a right to terminate without penalty. One gap remains. Anthropic Claude is named as a model family, but the specific Mistral and OpenAI models are not, and the home page describes continuous selection of the best models for each task, so which model handles a given request is not disclosed.
Ordalie names a provider and no model. The privacy policy (article 3.4) and Terms of Sale 9.1 name AI inference providers including Azure France, so inference is known to run through Microsoft's French Azure services, and the models run in France under contract. What is missing: no model or version is named, and the basic and advanced model tiers are commercial labels. No notice of model or provider changes is published; the fifteen day notice in Terms of Sale 2.3 covers removing or changing a service, and the subprocessor list is accurate as of its update date only. Ordalie's own positioning, repeated in the press, says it develops its own models, and nothing reconciles that with the named third party providers.
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.
Two named plans are published with their features. The individual plan includes all tools, the Microsoft extensions, AI workflows and data confidentiality, and can be bought online with a two week free trial and no sales contact. The organization plan adds collaboration, training and onboarding, a usage dashboard and central billing, and goes through the sales team. The CGU sets the charging terms: online rates are those shown on the site at signup, 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 price is shown on the pricing page through an animated counter, and the CGU confirms prices are displayed at signup. Prices are published for part of the range, and the enterprise tier is withheld.
The price is published, and buying needs no conversation. The free plan costs nothing. PRO is €75 and MAX €99 per user per month excluding VAT, with ten percent off for annual billing, which makes PRO €67.50 a month. A twenty six row table compares the tiers across models, volume, history, sources, uploads, exports, collaboration, integrations, governance and support. Purchase is by card or SEPA through Stripe, seats and plan changes prorate immediately, monthly plans have no commitment and cancel in a few clicks, and invoices download directly. Enterprise beyond MAX is quoted, covering Vault, on premises or private hosting, custom connectors and pilots. Two inconsistencies: the table includes Vault and on premises deployment in MAX while the FAQ puts both in the enterprise offer, and the Terms of Sale say prices include twenty percent VAT while Ordalie's pricing page says they exclude it.
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.
Segment coverage is described with real substance. The pricing page addresses independent avocats and organizations, splitting the latter into law firms and corporate legal departments, and the partnerships with local bars 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.
Who the product serves and what it covers are both described in detail. Three audiences each have a page: lawyers in private practice, in house counsel and French notaries, with named notarial customers and workflows for notaries. Firms get shared case files, role based permissions and a private space per lawyer. The sources documentation lists the 102 French codes, the courts covered and BOFiP for tax, and shows how a practitioner narrows the scope. Jurisdictions are selectable, and uncovered countries can be requested. What is missing: no firm size, unsupported practice area or government use is addressed. The coverage claim is also inconsistent. The lawyer page and FAQ claim 3.5 million official texts across eight jurisdictions, including Germany, Italy, Spain and Belgium, while the sources documentation lists France, the EU, Luxembourg, Great Britain and Switzerland and two million references.
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 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.
The training ban is in the agreement. Terms of Sale 9.1 says client data is not used to train models, and requires the AI inference providers to process in France and not keep prompts, outputs or metadata. Privacy policy article 3.4 bars those providers from reusing client data for training, and article 3.6 says Google Workspace data is not used to develop or train any generalized AI model. The marketing says the same.
Three qualifications: the terms and privacy policy list improving the services as a purpose, without naming training, while clause 9.1 governs; the Google clause covers only generalized models; and no data processing addendum carries 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?
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.
Two pages give different retention periods. The legal research documentation (updated 5 September 2026) says conversation history is kept for thirty days. The pricing table sells history as a tier feature: seven days on the free plan and unlimited on paid plans. Nothing reconciles them, so there is no single authoritative statement for a lawyer's questions and answers. The agreement defers to the period that applies to the workspace or organization without saying what it is or who sets it.
Deletion is precise: immediate and irreversible from production, with copies in encrypted backups until overwritten. The inference providers are barred from keeping prompts, outputs or metadata at all.
Ethical Walls and Matter Segregation
Does retrieval respect the firm’s ethical walls, or can the model read across them?
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 keeps its own documented permission model, which the firm must keep aligned. It has case based spaces with role based permissions and activity history, projects per matter, a private space for each lawyer, private tags, a user's own sources kept private, account isolation, and a split between personal and organization integrations. Access to content is limited and logged. The iManage connector can run as one shared connection or with each member signing in, and only the second applies iManage's own access rules per user.
Because neither is required, keeping walls correct falls to the firm's administrators. Two gaps: no conflicts or ethical wall feature is named, and nothing says whether permissions limit what the assistant retrieves.
Third Party Request and Subpoena Notice
If someone subpoenas the vendor for a firm’s data, does the firm hear about it first?
The privacy policy addresses disclosure under legal obligation three times. For library documents, Word add-in data and Outlook add-in data, it says nothing is shared with third parties except for specific technical hosting needs or where a legal obligation applies. Nothing in the CGU, including its Part III data processing agreement, the privacy policy, the legal notices or the trust center commits to notify the customer of such a request, and no discretion over notice is reserved.
The professional secrecy clause says no data in submitted documents is accessible to third parties, which covers access rather than compelled disclosure.
Data can leave under the terms, with nothing said about telling the customer. Terms of Sale 7.1 gives an irrevocable confidentiality undertaking over data generated by the service, with an exception for a legal obligation or a court injunction. Clause 9.3 repeats the same exception for documents sent to the platform. No commitment to notify the customer of a demand, reserve discretion either way, challenge a demand or cooperate on a protective order is published, and no transparency report exists.
The company and data are French, so a demand would usually run through French courts, but nothing 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?
The research product is described as returning answers anchored in recognized sources of law for continental and French law. 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 research content. No primary law database, publisher or collection is named, no license or public domain basis is stated for any source, and no update schedule is published. A vendor blog post says the models are fine tuned on French legal information, without identifying that material.
Sources, rights and update cadence are all published. The sources are the 102 complete French codes, non codified laws and ordinances from the Official Journal, case law court by court (Court of Cassation, Council of State, courts of appeal, administrative courts of appeal and some first instance courts), BOFiP for tax, EU law and judgments from EUR-Lex, and Luxembourg, Great Britain and Switzerland. Terms of Use 4.1 states that court decisions and legal texts carry no intellectual property rights, and 4.2 says third party commentary is linked rather than reproduced, with only very short extracts used.
The corpus is kept constantly up to date, with daily updates claimed. Two limits: no publisher license is named, and the eight jurisdictions in the marketing are not the ones the sources documentation lists.
Good Law Verification
Does the product tell you when the authority it just cited has been overruled?
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 published 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.
The reader is sent to the authority and told to check it, with no treatment analysis done in the product. Answers link to the source, often on Legifrance, with exact references, and the Ledger documentation says its filters do not replace checking the cited source. Nothing indicates whether a cited decision was overturned, confirmed or departed from, and no treatment flag is described. The citator is a common law tool with no exact French equivalent.
The nearer French question, whether a code article is the version in force, is partly covered by the statement that the codes are kept continuously current, which describes the corpus rather than a check shown on an answer.
Refusal and Uncertainty Behavior
What does the product do when the answer is not in the corpus?
No 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 behavior for questions it cannot answer and no confidence or grounding score exposed to the user is described anywhere.
Nothing published describes what the assistant does when it cannot answer. The legal research guide, the sources documentation, the Ledger documentation and the lawyer FAQ, including its answer on how Ordalie reduces hallucinations, all answer with grounding: every answer cites verifiable official sources with links. None says a question outside the corpus is refused, a thin basis is flagged, a confidence indicator is shown, or an ambiguous question is put back to the user.
The only related behavior is in export, which stops and reports a missing attachment. The marketing says the product does not hallucinate, which makes the missing no answer path matter more.
Fabricated Citation Record
Does a public court record exist addressing fabricated or hallucinated legal citations in output from this product?
The AI Hallucination Cases database maintained by Damien Charlotin records no court order, opinion or disciplinary record naming Jimini AI or its publisher Odysai.
Trackers and coverage of decisions on AI fabricated citations, in French and English, record no decision naming Ordalie or its company. That record covers fabricated citations only. French courts have started meeting the problem: the administrative court of Grenoble in December 2025 described a claim as drafted with generative AI and citing fanciful case law, and the administrative court of Orleans found cited decisions that do not exist; both involved self represented litigants and named no product.
A March 2026 practitioner survey found no French court had yet sanctioned a lawyer for AI fabricated authority, so an empty French record carries less weight than an empty US one.
Bar Guidance Alignment
Has the vendor engaged in public with the ethics opinions its buyers are bound by?
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 states on its lawyer page that it complies with the seven requirements set by the Conseil national des barreaux, the French national bar council, for lawyers' use of AI. An FAQ answer says the product is designed to align with that guidance and names five dimensions: transparency, confidentiality, human oversight, data protection and traceability. Two limits: only French guidance is engaged, though the product covers other jurisdictions and serves notaries, whose rules are separate; and no mapping of features to the seven requirements is published. Ordalie also has a partnership with the Paris Bar to promote AI in law firms and offers its 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?
Public materials claim time savings without addressing billing. The home page publishes a counter of hours saved per week per lawyer, and the Paris Bar partnership material is framed on immediate time savings on time consuming legal tasks. Nothing published 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 claims specific time savings: eight hours a week on average, a case timeline in three minutes against three hours by hand, an hour instead of a full day, a twelve page contract draft in fifteen minutes, and an onboarding path aimed at reclaiming hours each week. Press material repeats a claim of automating up to eighty percent of repetitive tasks. Nothing addresses the client's bill. Its main buyers bill clients for the research and drafting it speeds up, yet no per matter record of AI assisted work, invoice disclosure or fee guidance is described, including in its CNB alignment claim. Nothing helps a firm decide what to tell clients who were going to be billed for that time.
Outside Counsel Guideline Readiness
Can a firm get this vendor through a client’s AI clause without a bespoke negotiation?
All three parts are published. Subprocessors: the CGU has a current table naming every provider with access to customer data, with its role, location and zero retention basis. Model providers: the same table names the three inference providers, Mistral AI SAS, OpenAI's Europe deployment, and Google Cloud Vertex AI carrying Anthropic Claude models. The privacy policy repeats the list, so which providers see client content is stated.
Material a firm can forward to clients: the data processing agreement is the last section of Part III of the CGU, headed 'Donnees personnelles, Accord de traitement (DPA)'. It is published at https://www.jimini.ai/conditions-generales-utilisation with no signature or sales contact needed, and covers the Article 28 terms, subprocessor tables, retention periods, breach notification and the professional secrecy clause. All three are published in French only, the vendor's own language.
A dated subprocessor and model provider list is published, and no pack a firm can forward. The privacy policy (article 3.4, updated 6 June 2026) names Scaleway for hosting, AI inference providers including Azure France with their contract terms, and Stripe for payments, with security, delivery and integration providers as a category. It goes past infrastructure to say who runs inference and what they may not do with client content.
What is missing is a data processing addendum. The controller and processor terms sit in Terms of Sale 9.4, with a breach notice commitment, inside the general terms rather than a document a firm could send its client. No model is named, and no notice of list changes is promised.
Court Disclosure Support
If a judge’s standing order requires an AI disclosure, can the product produce one?
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. Because requests are orchestrated across several models, the model behind any particular output is not surfaced. No disclosure guidance or template for a court is published.
Nothing published addresses disclosing AI involvement in work that reaches a court. Ordalie does produce provenance: answers list their sources, citations link to the original text, the editor tracks every change, and a conversation can be exported in full to PDF or Word with citations. A lawyer could reconstruct which authorities an answer used. But nothing records that a machine was involved: no model is identified, exports do not mark generated text, and no disclosure template or certification exists.
The Ledger is a contract review dashboard, not an activity log. This matters in France, where courts have started remarking on AI drafted filings in published decisions.
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.
- Refusal and Uncertainty Behavior
Product updates
The latest logged changes from each vendor, newest first, each linked to its source.
Jimini AI
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Product / capability
Jimini launched Competences, reusable task methods that combine instructions with reference documents such as firm templates, precedents and clause libraries.
Source
Ordalie
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Integration / interoperability
Ordalie users can now add a file from a connected source to a project through the project picker, and the file is opened with that connection's permissions.
Source
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. It covers document analysis, drafting, research grounded in recognized sources and more than 200 agentic workflows, with tools inside Word and Outlook. According to the AI Legal Index, Jimini's 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. Its liability terms are exclusions only.
Ordalie
Ordalie, from Ordalie SAS of Paris, is a legal AI platform for French lawyers in private practice, in house counsel and notaries. It 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. According to the AI Legal Index, Ordalie bars training on client data in its terms and hosts in France, with inference contractually kept there. It prices from a free plan to €99 per user a month.
Questions buyers ask
Jimini AI vs Ordalie: which is better for a French law firm?
It depends on what the firm needs to read first. 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. From the AI Legal Index, based on each vendor's own published materials as of September 26, 2026. No vendor pays for placement.
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. From the AI Legal Index, based on each vendor's own published materials as of 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. Ordalie names Azure France among its inference providers without naming a model. From the AI Legal Index, based on each vendor's own published materials as of September 26, 2026. No vendor pays for placement.
How much 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 in euros excluding tax on its pricing page, and an organization plan by quote. From the AI Legal Index, based on each vendor's own published materials as of September 26, 2026. No vendor pays for placement.
Neither vendor paid for inclusion, placement or a grade, and neither reviewed this page before it published. Everything on it comes from public material on the dates shown. How the index grades.
Three points to weigh. Ordalie's own surfaces disagree on retention: its documentation keeps conversations for 30 days while its pricing sells unlimited history. Its pricing page also places on premise hosting both inside and beyond its top tier. Jimini's individual plan price sits on its pricing page. Neither vendor names the specific models behind its answers. Neither vendor reviewed this page.