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Jimini AI

Jimini AI is a legal AI assistant built for continental civil law, sold to French law firms, individual avocats and corporate legal departments. It covers three jobs: analyzing documents, drafting, and legal research grounded in recognized sources. It adds agentic workflows that plan and run legal tasks with several steps, with more than 200 built and validated with in house lawyers. It works inside Word and Outlook through Microsoft add-ins included in the subscription, and connects to Google Drive and SharePoint.

The platform is hosted in France on Scaleway and S3NS, and all customer data is stored in France. Model inference runs in the European Union across Mistral AI, OpenAI's Europe deployment and Anthropic Claude models reached through Google Cloud Vertex AI, each under a zero retention agreement. The terms state that uploaded documents and prompts are never used to train models, and a dedicated clause addresses the avocat's professional secrecy under French law.

The product is published by Odysai SAS, registered in Nanterre with offices in Paris, and has partnerships with the Paris, Hauts-de-Seine and Nantes bars. An individual plan is available self serve with a two week free trial; organization pricing goes through sales.

Compared with

Jimini AI, head to head

Side by side on the same 15 capability axes and 12 legal signals: where the two part company, and what neither one publishes.

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Capability grades

All 15 axes, graded from public sources on the date shown. Hover a grade to see what the letter means on that axis.

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

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.

Source: Vendor Published
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.

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.

Source: Vendor Published
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.

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, is emphatic: outputs are not legal advice, are not final, must be validated by a legal professional such as an avocat, and the user takes full responsibility for their use. Yet 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.

Nothing reconciles the two. The gap is in the controls. 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 contractual requirement for human validation is real, but the control structure around it is not published.

Source: Vendor Published
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.

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.

There is named deployment evidence with substance, but no measurement. 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.

Source: Vendor Published
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.

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.

Source: Vendor Published
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.

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.

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

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.

Source: Vendor Published
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.

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.

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

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.

Source: Vendor Published
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.

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.

Source: Vendor Published
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.

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.

Source: Vendor Published
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.

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.

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

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.

Source: Vendor Published
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.

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.

Source: Vendor Published
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.

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.

Source: Vendor Published
Sources on file

3 public documents

The public pages on file for Jimini AI, with the recorded signals each one supports and the date it was last read. Open any of them and check the reading against the record.

Pricing

No published figure

  • Jimini has two plans: one for a single lawyer, one for a firm or legal department.
  • The price of the individual plan is published on the pricing page, in euros before tax, and you can sign up yourself without talking to anyone.
  • You get two weeks free first, and you choose whether to pay monthly or yearly.
  • The plan for organizations does not show a price and you have to contact their sales team.
  • If they change the price, they must tell you 30 days ahead and you can cancel before it starts.

Two named plans are published with feature splits. Plan individuel includes all Jimini tools, the Microsoft Word and Outlook extensions, AI workflows and data confidentiality, and can be bought online with a two week free trial and no sales contact. Plan organization adds collaboration, training and onboarding, a usage dashboard and central billing, and goes through the sales team with no published figure. Under Part III of the CGU, online rates are those shown on the Site at signup, in euros excluding tax, billed monthly or annually at the subscriber's choice.

Subscriptions renew automatically, any price change needs 30 days' notice, and the subscriber may cancel without penalty before it takes effect. Cancellation needs seven days' notice before the term ends, with no partial refund. The Paris Bar partnership gives firms of one to twenty lawyers three months of free access. The individual plan price is shown on the pricing page through an animated counter.

What changed

Tracked changes at Jimini AI

Oct 12, 2026Product / capabilityVerified

Jimini launched Competences, reusable task methods that combine instructions with reference documents such as firm templates, precedents and clause libraries. The legal agent applies a skill on its own when it recognizes the task, or a user calls it with a shortcut. Jimini ships more than 200 skills written by its lawyers for French law across about 50 specialties, and firms can write their own, have the agent draft them, and share them across the organization.

Bears on: AI CentralitySource

Legal Signals

What each signal means

A signal records what public sources say on the date shown. It is not a grade and it is not a recommendation. Where a signal reads Not addressed, it means the index did not locate the material in public sources on that date, which is a statement about disclosure rather than about the product.

Confidentiality and Privilege

Client Data in Training

Can material a lawyer puts into this product be used to train a model?

Never, in the contract

The published terms prohibit training on customer content. Not a policy page, the agreement.

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.

Source: Vendor PublishedLes données ne sont en aucun cas utilisées pour l'entraînement de modèlesAs of Sep 4, 2026Evidence

Prompt and Output Retention

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

Disclosed fixed window

A specific retention period is published and the customer cannot change it.

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.

Source: Vendor PublishedPrompts et réponses IA : Durée du compte + 30 joursAs of Sep 4, 2026Evidence

Ethical Walls and Matter Segregation

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

Own model, documented

The product maintains its own permission model, documented, requiring the firm to keep it aligned.

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.

Source: Vendor Publishedcloisonnement logique des données par utilisateur et organisationAs of Sep 4, 2026Evidence

Third Party Request and Subpoena Notice

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

Disclosure addressed, notice absent

Published terms or policy address disclosure to authorities or in response to legal process, and no commitment or reservation regarding customer notice is located anywhere. The vendor has told the customer that data can leave and has said nothing about whether the customer hears of it.

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.

Source: Vendor Publishedsauf pour des besoins techniques d'hébergement sur Scaleway ou en cas d'obligation légaleAs of Sep 4, 2026Evidence
Accuracy and Authority

Primary Law Corpus Provenance

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

Jurisdictions only

Coverage is described by jurisdiction with no identification of the underlying corpus.

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.

Source: Vendor PublishedAs of Sep 4, 2026

Good Law Verification

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

Prompts the user to verify

The product instructs the reader to check the citation without performing the check.

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.

Source: Vendor PublishedAs of Sep 4, 2026

Refusal and Uncertainty Behavior

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

Not addressed

No located public material addresses what the product does when it cannot ground an answer.

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.

Source: Operator VerifiedAs of Sep 4, 2026

Fabricated Citation Record

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

None located

No court order, opinion or disciplinary record addressing fabricated or hallucinated legal citations produced by this product has been located as of the date shown. This is a statement about the public record on that one subject, not a finding about the product, and this signal is not a litigation history.

The AI Hallucination Cases database maintained by Damien Charlotin records no court order, opinion or disciplinary record naming Jimini AI or its publisher Odysai.

Source: Operator VerifiedAs of Sep 4, 2026Evidence
Professional Responsibility

Bar Guidance Alignment

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

Named guidance addressed

Public materials engage with at least one named ethics opinion.

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.

Source: Vendor PublishedAs of Sep 4, 2026

Billing and Fee Posture

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

Savings claims only

Public materials claim time savings without addressing billing or disclosure, and the product sits inside a fee relationship between a lawyer and a client where those savings would change the bill.

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.

Source: Vendor PublishedAs of Sep 4, 2026

Outside Counsel Guideline Readiness

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

Disclosure pack published

A subprocessor and model provider list plus client facing disclosure material is published or available without an agreement in place.

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.

Source: Vendor PublishedAs of Sep 4, 2026

Court Disclosure Support

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

Partial record

Some elements of the record are available, short of a document level export.

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.

Source: Vendor PublishedAs of Sep 4, 2026
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 462 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
October 19, 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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