Josef vs Legito: how they compare in 2026
Josef and Legito are both no code platforms for document automation and legal workflows, and both have added AI. Josef sits in the top two bands on eight of fifteen axes and Legito on six of fifteen, identical on six. Josef's lead is how its AI answers. Josef Q answers only from documents the customer uploads and shows the page, paragraph and clause behind each answer. When the answer is not there it says it does not know, and the legal team can review and edit what it tells people. Josef publishes no customer agreement, so none of this sits in a term a buyer signs. Legito's counterweight is its contract. Its published agreement limits use of customer data to performing the service and commits to advance notice before a compelled disclosure. Its processing terms bar moving data out of the region the customer picks, in Virginia, Germany or Australia. Legito states that its AI runs on its own servers, but describes no oversight of the agents it markets.
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.
Josef sells three products: Josef Q for AI question and answer, contract automation, and workflow automation. Only the first is model-driven. The contract and workflow modules are template and rules automation that predate the AI layer, and they are what the L’Oréal case study’s 66% turnaround figure actually rests on. Josef Q is not peripheral — it has its own login at q.joseflegal.com, four dedicated product pages and its own named customers at adidas, Bupa and Cityblock Health — but remove it and a working no-code document and workflow platform remains. That is the B band precisely: the models are the engine of a core capability layered on a product that would still function without them. Pages read 1 September 2026.
The vendor's own headline settles this: the AI page is titled AI-powered Document Automation and CLM and its subtitle reads that AI-powered and rule-based document automation complement each other. Kedy AI is a real, named, shipped layer with five distinct capabilities, but it sits on top of a platform that stands entirely without it. Remove the models and a buyer still has interactive template automation, end-to-end lifecycle management with routing and approvals, a no-code application builder, an audit trail and a free electronic signature product, which is the whole of the free plan and the whole of what the named customers are quoted describing. The company was founded in 2015 and its case studies, including the PwC deployment and the 450,000 hours figure, rest on rule-based automation rather than on inference. AI accelerates authoring and extraction here; it is not the mechanism the buyer is paying for. Checked 7 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.
Grounding is real and specifically documented. The AI controls page states Josef Q is a closed-domain system answering only from uploaded content, and the source list shows the exact page, paragraph and clause an answer drew on, so a reader can open and check the support. A document pre-processing engine is described as scanning and optimising uploaded content before indexing. No measured accuracy figure and no test set is published anywhere, which is what holds this at B. Two limbs of the higher bands do not apply to this product class: Josef Q retrieves the customer’s own policies rather than primary law, so grounding to primary authority and citation-status checking are not capabilities it claims. Against that, the audit trail page carries an unqualified “No hallucinations!” claim, which is marketing running ahead of the mechanism. It does not drop the grade to D because it sits alongside a described architectural control and a published refusal path rather than standing alone. Read 1 September 2026.
No accuracy content of any kind is published. There is no figure, no test set, no evaluation, no third-party validation and no named failure mode across the AI page, the security page, the pricing page or the subscription agreement, and the agreement does not mention AI at all. The nearest thing to a control is a product-design constraint: AI-powered drafting is described as inserting extracted data into automated templates while maintaining 100 per cent integrity of the template, which bounds what the model can alter but is a statement about template mechanics rather than about output accuracy. The nearest thing to a limitation disclosure is a blog article that asks whether a reader can accept that AI returns different results in two identical situations, which acknowledges nondeterminism in the abstract without stating what the product does about it. Grounding to primary legal authority does not bite on a document automation and CLM product and is counted neither way, per the inapplicable-limb rule. The knowledge base article on AI document drafting was not opened and is treated as corroboration only; the grade rests on the absence of accuracy material across the surfaces that were read. Checked 7 September 2026.
Autonomy and Oversight Model
What the system decides on its own, what a lawyer must approve, and whether the vendor documents where the review point sits. A tool that drafts under review and a tool that files without one are different products and different risks.
The control structure is published in unusual detail for this lane. The AI controls page documents human-in-the-loop moderation over every answer, source addition and removal in a Moderation tab, a Tuning Lab for tone, length and spelling convention, and Smart and Follow-up Suggestions that shape what end users ask. The stop rule is published and specific: outside the uploaded corpus the tool answers “Sorry, I don’t know.” The audit trail page adds that all user questions and generated answers are tracked and stored. What is missing for A is the route back to human judgement — no escalation path from an unanswered question to a lawyer was located on any product page read on 1 September 2026 — and no thresholds or distinct autonomy modes are published. B rather than A on the absent escalation route, not on the review surfaces, which are the strongest part of this record.
Autonomy is claimed and oversight is not described. The vendor states that AI agents will undertake regularly recurring tasks in the customer's workspace for them, which is unattended operation, and that Kedy AI navigates through workflows and controls lifecycle operations. Nothing published states what an agent may do without a human, at what point it stops, whether a confidence signal is shown to a reviewer, or what happens after an agent acts wrongly. No approval gate specific to AI output is described anywhere. The platform-level audit trail, described on the security page as timeline and versioning, is a general control that predates the AI and is not presented as an AI oversight surface, so it is named here rather than credited as one. The subscription agreement, which is where a supervision obligation would ordinarily sit, is silent on AI entirely. Checked 7 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.
Attribution and figures are both present, which is more than most of this pull manages. The L’Oréal case study names Candy Welsh, Legal Counsel, and reports a 66% drop in contract turnaround, one contract moving from over an hour to 20 minutes, 100-plus such contracts a year, and roughly two weeks of work saved annually. Further named deployments carry named officers: Katherine Roseveare, General Counsel at adidas, across 65,000-plus people; Claire Nuske, Head of Legal Operations at Bupa, with 40-plus self-service tools; Wendy Chow, General Counsel at Cityblock Health; Sheila Dusseau, Head of Global Legal Operations at Ferring Pharmaceuticals. What keeps this at B is that no case study read on 1 September 2026 carries a date, and the 66% figure is given with no statement of how it was measured or over what period, so a reader can assess neither the method nor the currency.
Deployment evidence is unusually broad and well attributed. Named customers appear with logos including PwC, Deloitte Legal, LexisNexis, Holland & Knight, Santander, Société Générale, UniCredit, Telia, Škoda, Vialto, U.S. VETS and the Bronx and New York County District Attorneys' offices, against a stated base of over 400,000 users. Testimonials carry full names and roles rather than initials: Tomas Fiala, Director at PwC, describing a Centre of Excellence running since 2018 across the PwC global network; Paul V. Saunders, Chief Innovation Officer and Partner at Stewart McKelvey; Sony Varughese, Chief Technology Officer; Nel Pelle, Sales Manager at BAM; Galya Oster at Atrafin; Eli Cohen, Chief Operating Officer at RBI; and Jeremy Aber, a software attorney. Figures are specific, including contract checking falling from 20 to 50 minutes down to 5 minutes, 450,000 hours saved at a Big Four firm, and a 10,000-user deployment built by two part-time specialists. Two things hold this at B. The figures sit inside testimonials and case-study titles with no method, baseline, sample or date. And none of the outcome evidence is attributed to Kedy AI: every quoted result describes rule-based document automation, so a buyer evaluating the AI specifically has adoption evidence for the platform and none for the models. Checked 7 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.
No customer agreement is published. The home page, security page, FAQ, website terms and privacy policy were read on 1 September 2026 and a clause-language search was run; the only two published instruments are website terms and conditions and a privacy policy dated 15 February 2024, and that policy states it applies to Josef as a controller rather than to customer content held as a processor. What is published is real but general: the FAQ states customers retain full ownership of their data and Josef acts as custodian, and the security page states AES-256 at rest and TLS 1.3 in transit with Josef-held server-side keys. Nothing addresses training on customer content, tenant separation, or privilege and work product treatment. The in-house band amendment does not rescue this, because for an in-house buyer the requirement is tenant-level separation and no separation of any kind is documented. C rather than D because the ownership and encryption commitments are published and readable before signing; C rather than B because the commitments that decide this axis cannot be read in advance at all.
Substantive published commitments across several limbs, short of the full picture. The subscription agreement makes all data, files, documents and templates uploaded or created by the customer the customer's property, and grants Legito the right to use customer data solely for the purpose of performing under the agreement, which is a purpose limitation rather than a broad licence. Section 5 makes customer data the customer's confidential information and binds Legito to reasonable care, purpose limitation and need-to-know access under signed confidentiality agreements. The AI page adds that no third-party service processes customer data in AI and that data is never used for AI training. Retention is bounded: the customer may export for 30 days after termination, after which Legito may destroy the data. Segregation is real, with the customer choosing a named storage region and the processing agreement barring transfer outside it without express written consent. Encryption is applied in transit and at rest with keys held away from the hosting provider, and the product ships a self-anonymisation feature for data in documents. What is absent is the limb this axis exists for: privilege and work product are not mentioned anywhere in the agreement or on any published surface. The product holds contract and back-office documents rather than matter files, which makes that omission less costly to most buyers than it would be for a litigation product, but the limb is required and it is not met. Checked 7 September 2026.
UPL and Professional Responsibility Posture
Whether the vendor is clear that it supplies a tool rather than legal advice, who its audience is, and how it addresses unauthorized practice of law, competence and supervision duties, and jurisdiction limits. ABA Formal Opinion 512 is the reference point. Where the advice line is not the duty a product raises, the axis is read through the nearest professional duty it does raise: judicial conduct rules and the reviewing duty for products sold only to courts, and the duty to bill for time actually spent for products that draft time entries.
The only disclaimer located is scoped to the wrong thing. The website terms and conditions state that content on the Josef website is provided for information purposes only, which addresses the marketing site rather than the output of a tool answering policy questions for employees. Meanwhile the product is described in advice terms: the Josef Q demo panel offers to provide scalable guidance and advice, and the FAQ describes legal aid organisations and boutique firms using Josef to deliver client-facing onboarding, wills and guidance tools to members of the public. No jurisdiction limit, no statement of who may rely on an answer, and no consumer-facing disclosure requirement were located on any page read on 1 September 2026, and ABA Formal Opinion 512 is not mentioned. C rather than D because a disclaimer does exist in the terms; C rather than B because it does not reach the product, and the client-facing uses the vendor advertises are exactly where the advice line bites hardest.
Nothing addressing unauthorised practice, professional responsibility or the boundary between the software and legal advice was located on any Workspace surface. The subscription agreement, which is the customer agreement for the product indexed here, contains no such provision, and neither the AI page nor the legal department page nor the law firms page carries a disclaimer. One instrument on the same domain does address it: the Legito Marketplace terms of service require a user to tick a box agreeing that the application is not a legal service or its substitute. The Marketplace is a separate product with its own purchase path, its own terms and its own consumer-facing single-use conditions, so that acknowledgement governs a different transaction and is not credited to the Workspace record. It is named here because a reader who finds it unaided should see that it was considered and why it was set aside. The grade records what is establishable on the date and the cause sits in this note rather than in the letter. Checked 7 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.
No governance position located. The home page, the three product pages, the AI controls page, the audit trail page, the security page, the FAQ, the website terms and the privacy policy were all read on 1 September 2026. There is no responsible AI page, no named internal owner, no pre-release testing regime, and no ISO 42001 or equivalent. Nothing addresses whether answer quality varies across topics, document types or populations. The moderation and review controls are real but they are an oversight mechanism already graded on Autonomy, and the band excludes security controls as a different subject, so neither can be spent here. The chief executive’s published article on context engineering is a design argument, not a governance disclosure.
No governance disclosure was located. There is no AI policy, no acceptable use policy for AI, no responsible AI or ethics statement, no bias or fairness discussion, no ISO 42001 or NIST AI RMF alignment claim, no named internal owner for AI decisions, no model evaluation or testing description and no AI-specific section in the subscription agreement or the data processing agreement. Two blog articles touch on AI in document-centric processes and on where AI brings value and where its limits lie, but both are market commentary published to the blog rather than statements of how the vendor governs its own models. The ISO 27001 certification covers information security and its quoted scope names document automation and CLM software development and hosting, not AI governance, so it is not credited here. Surfaces read on 7 September 2026: the AI page, the security page, the subscription agreement and its data processing exhibit, the pricing page and the site footer inventory.
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.
Access control is documented and the rest is not. The security page states AES-256 encryption at rest, TLS 1.3 in transit, Josef-held server-side encryption keys and regular access audits, alongside OWASP and ASD secure coding frameworks, automated vulnerability scanning and annual third-party penetration testing. What happens to uploaded documents and prompts afterwards is not addressed: the privacy policy retains service data for the duration of the business relationship and an unstated period after, deletion is described only as securely deleting or anonymising once no legitimate business need remains, and no incident practice is published anywhere. The subprocessor list is not published — the privacy policy says it can be provided on request, and no self-service portal or instant-download route was located on 1 September 2026, so under the three-tier rule it earns no credit. C rather than B because two of the five elements the band names are absent outright and two more are stated without a period or a mechanism.
Three express commitments sit together on the AI page and they are the strongest AI-specific disclosure this vendor makes: Kedy AI is hosted 100 per cent on Legito servers, no third-party services are used to process customer data in AI, and customer data is never used for AI training. Read against the subscription agreement they are consistent rather than contradicted, because the agreement grants Legito the right to use customer data solely to perform under the agreement and reserves no training or improvement right anywhere. The one clause that comes close, the statistical information provision, permits Legito to compile and publish performance statistics about the service on condition that they neither identify customer data or the customer nor permit re-identification, which is a performance metrics right rather than a machine learning right and is not read as one. The processing agreement adds a no-transfer-outside-the-chosen-region commitment, an eight-hour breach notification undertaking and a requirement that sub-processors be bound to confidentiality. What holds this at B is placement: every AI-specific commitment lives on a marketing page, and the customer agreement, last modified in September 2023, does not mention AI at all, so a buyer has the vendor's word rather than a term to enforce. Checked 7 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.
Nothing published on who bears the loss when an answer is wrong. The only liability clause located sits in the website terms and conditions and excludes liability arising from use of the Josef website, limited where it cannot be excluded to resupply of the relevant services or information. That is a website clause, not a position on product output. No master subscription agreement, customer agreement, service level agreement, warranty or indemnity was found. The escalation ladder was run on 1 September 2026: the footer was checked across six rendering pages and offers only the website terms, the privacy policy and a cookie notice, and a search on customer-agreement clause language returned no Josef instrument. This is an established absence rather than a retrieval failure, so it is graded rather than left unwritten under R7.
A published agreement with real general recourse and no AI-specific recourse at all. The machinery that exists is more than most records on this axis carry: a tiered availability warranty crediting 10, 25 or 50 per cent of the monthly fee by uptime band; a major-outage right to terminate and recover prepaid fees where availability falls below 98 per cent for two consecutive months or any three in six; warranties that security and functionality will not materially decrease and that the service will perform in accordance with its documentation; a 30-day cure period for material breach; an intellectual property indemnity covering defence costs, negotiated settlements and court-awarded damages; and an eight-hour breach notification undertaking in the processing exhibit. Against that, liability is capped at fees paid in the preceding twelve months and all indirect damages are excluded, including loss of or unauthorised access to data. The decisive point is that nothing in the agreement addresses AI output: there is no warranty, no allocation of responsibility and no remedy where Kedy AI extracts a term wrongly, drafts from the wrong source or an agent acts on a bad inference. The processing exhibit also disclaims liability for customer data disclosed through a cyber-attack notwithstanding reasonable efforts, which cuts against the recourse the rest of the agreement builds. Checked 7 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.
Thirteen integrations are named and grouped by function, and the direction of travel is described: policies sync in from SharePoint and Confluence, data is pulled from Airtable and Google Sheets, and captured information is pushed out to Slack, Teams, SharePoint and Salesforce. The legal systems are what matter in this lane and they are present — HighQ, Xakia, Dazychain and Actionstep are all named. The Xakia entry goes furthest, describing Josef bots launched from Xakia’s internal client portal so that requests stay managed within Xakia. Two integrations carry linked walkthroughs, for Actionstep and Xakia. B rather than A because no documentation an implementer could use was located: no developer index, no field mapping, and no statement of what a firm must configure, with the integrations page answering any unlisted case by inviting a conversation with the team. Read 1 September 2026.
Integration is documented rather than asserted, and the documentation is public. A REST API is published with a Swagger specification, alongside webhooks described as a push API, programmable tags, a developers hub and self-service API key creation, deactivation and deletion. Named off-the-shelf integrations include Salesforce, Microsoft SharePoint and Zapier, and the subscription agreement itself names DocuSign, Salesforce and HubSpot as third-party services the platform interoperates with, which is unusual corroboration because it puts the integration surface in the contract rather than only on a product page. A Model Context Protocol server is published so that other AI applications can reach Legito features. What holds this below the top band is the absence of legal practice systems specifically: no document management system such as iManage or NetDocuments, no practice management or matter management system, no time and billing system and no court or filing system appears anywhere in the integration inventory. The depth is real and the direction is general enterprise back office rather than the legal stack. Checked 7 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.
The security page and the FAQ both state data residency options in the US, Europe, the UK and Australia, a four-region commitment stated consistently in two places. The tenancy model is never stated: nothing published says whether customers sit in shared or separate instances. Processing location is not addressed as distinct from storage, and there is a tension a buyer should read before signing. While the security page offers regional residency, the privacy policy tells users their personal information may be transferred and processed outside their country including in the United States, relying on standard data protection clauses for EEA and UK transfers. The two are not necessarily inconsistent, since the privacy policy governs Josef as controller rather than the platform tenancy, but no document read on 1 September 2026 reconciles them. B on the second limb of the band: residency is offered without the processing location being addressed.
Residency is published, specific and contractually locked, which is the stronger of the two co-equal limbs on this axis. The security page states that each customer may choose their data storage location and names three: Vint Hill, Virginia in the United States; Limburg, Germany in the European Union; and Melbourne, Victoria in Australia. Hosting is with OVH, named openly. The commitment is not merely marketing: the data processing exhibit provides that Legito may not transfer customer data to a third country outside the chosen server location without the customer's express written consent, which converts the choice into an enforceable term. Two gaps sit against that. Tenancy is nowhere stated, so a buyer cannot tell whether the service is single-tenant, pooled or configurable, and no self-hosted, private cloud or on-premises option was located. There is also an inconsistency the vendor should resolve: the account creation form on the AI page offers a server choice of Australia, Canada, Germany and the United States, adding Canada to the three locations the security page lists. Both are the vendor's own current surfaces and neither is reconcilable to the other from outside, so the discrepancy is recorded and nothing is graded on Canada. Checked 7 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.
SOC 2 Type II is stated on the security page, the FAQ and the home page, and the privacy policy states SOC 2 Type I and II. Annual third-party penetration testing is stated, as is GDPR compliance and ISO certification of the underlying server infrastructure. Absent is everything that would let a buyer check any of it: no auditor is named, no scope or coverage period is given, no report or summary is offered by any route, and no trust centre exists — no Vanta, SafeBase or equivalent portal was located on 1 September 2026, including through the footer and navigation of pages that render. B rather than C because the standard is named in prose rather than appearing only as a badge image; B rather than A because there is no access flow to the evidence at all, not even a gated one.
This record pulls in two directions and the note has to carry both. On the credit side, Legito does something most vendors in this corpus do not: it names its certification body. The security page states approval by Lloyd's Register to ISO/IEC 27001 and quotes the certified scope verbatim, covering the development and hosting of Legito document automation and contract lifecycle management software and the provision of document automation and software configuration services. A named auditor plus a quoted scope is A-band behaviour and is the reason this does not sit lower. On the other side, the certification is cited as ISO/IEC 27001:2013, a revision superseded by the 2022 edition, and the page states that the latest ISO 27001 audit was conducted in July 2021 on a page whose own last-modified date is September 2024. No certificate document is published, no certificate number or validity window is given, there is no SOC 2 report and no trust centre or document request portal of any kind. The OVH certifications listed on the same page, being ISO 27001, SOC 1 Type II, SOC 2 Type II, PCI DSS and a Cloud Security Alliance STAR self-assessment, belong to the hosting provider and are not credited to Legito. The penetration testing described is likewise the customers' mechanism rather than the vendor's: the page states that large customers engage third-party auditors and that Big Four firms regularly test the application, which is a disclosure about customer diligence, not about a programme Legito commissions. Checked 7 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.
Josef acknowledges a large language model underneath and never says whose. The chief executive’s published position is that an LLM alone cannot be trusted and needs context engineering, and the audit trail page refers to GenAI engineering, but no model, no model provider and no inference location is named on any page read on 1 September 2026. Hosting region and ISO-certified infrastructure are published, but a hosting location answers where the software runs rather than whose model sees client content, and cannot be spent on this axis. There is no commitment to notify customers if the underlying model changes. The only route to the supply chain is the subprocessor list the privacy policy says is available on request.
Nothing about the model itself is disclosed. No model is named, no provider is identified, no model family or version is given, and the vendor does not say whether Kedy AI is built in house, fine-tuned from open weights or licensed and run on Legito infrastructure. What is published is architectural and it is genuinely useful to a buyer: Kedy AI is hosted entirely on Legito servers and no third-party service processes customer data in AI, which tells a firm that no external model provider sees client content. That fact has already been credited where it belongs, on deployment and on data stewardship, and crediting it a second time here would answer a question this axis does not ask. Where the models run is not what the models are. The three AI services Legito does name, being OpenAI, Anthropic Claude and Google Gemini, are offered expressly as optional alternatives for customers who would prefer them and the page states that Kedy AI does not require any integration, so they are a customer-elected substitute rather than Kedy's supply chain and are not counted as partial disclosure of it. There is also an unresolved tension a buyer should see: an assurance that no third party processes data in AI is difficult to reconcile with an undisclosed model of unstated provenance, and only the vendor can close that gap. Checked 7 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.
No pricing information at any level. There is no pricing page: the navigation and footer were checked on 1 September 2026 across the home page, the Josef Q and integrations pages, the security page, the AI controls page and the FAQ, and none carries a pricing entry. Every commercial path is a demo booking or a contact form. No tier names, no packaging structure, no unit of charge and no figure are published, so a buyer cannot learn what is being charged for, let alone how much. D rather than C because C requires the shape to be visible with only the number withheld, and here neither the shape nor the number is published.
Real pricing information is published, but no rate is. What a buyer can establish first-party: a permanently free plan exists and its scope is named, carrying document lifecycle management, the custom application builder and Legito Sign as a lite version of the enterprise workspace, described as free of charge forever; the electronic signature product is offered at no fee; and a 30-day trial opens all features with no credit card required. Pricing pages are maintained in six languages. What is not published anywhere first-party is a paid figure, a volume band, a unit of charge, a minimum term or a seat minimum, and the pricing page carries no plan table in its rendered body. Two retrieval notes belong here rather than in the grade. The Complete Features List section of the pricing page is a heading with no content in the extracted body and is recorded as unrendered rather than absent, since the page's own structure says something belongs there. And a third-party site publishes specific per-user monthly rates and a minimum user count, which is excluded as an aggregator source and is named only so a later reader knows it was seen and refused rather than missed. The grade sits above the floor because a free tier and stated trial terms are pricing information, and below the middle band because the paid model is entirely absent. Checked 7 September 2026.
Firm and Practice Coverage
Who the product is actually built for. AmLaw, midlaw, small firm and solo, in house departments, government and courts, and which practice areas are supported rather than merely claimed.
Coverage is set out by segment with named customers in each, which is unusually concrete. The FAQ and the customer navigation name five segments — in-house legal, global law firms, boutique and NewLaw firms, legal aid organisations and community legal centres, and law schools — each with its own page and named users: L’Oréal and Bumble in-house, Orrick and Herbert Smith Freehills among firms, Hive Legal and Polaris Lawyers in NewLaw, Housing Court Answers and Everyday Justice in legal aid, and Cornell, NYU and the University of Pennsylvania in education. Document types are named too — NDAs, MSAs, employment agreements, powers of attorney and client onboarding forms — with Q&A use cases grouped under commercial, privacy and data, legal operations and HR. B rather than A because the limits are not stated: the FAQ’s position is that anything repeatable can be automated, government use is not addressed, and no page says where the product stops. Read 1 September 2026.
The legal surface is real and named but sits inside a wider back-office platform. A dedicated Legal department page addresses legal operations directly, framed as no-code automation for legal ops to leverage expertise at scale with controls, automation and oversight. A separate Law Firms industry page addresses firms on knowledge transfer and repeat drafting, and a Professional Associations page addresses member document portals. Legal adoption is evidenced by name rather than asserted: Holland & Knight, Stewart McKelvey with a published automation journey, Deloitte Legal, LexisNexis, and the Bronx and New York County District Attorneys' offices, the last of which has its own prosecution automation case study. The interface and pricing pages are maintained in English, German, Spanish, French, Czech and Slovak, and three hosting regions serve the Americas, Europe and Asia-Pacific. What holds this at B is that legal is one of seven departments and one of eight industries, with no practice-area breakdown, no jurisdiction-specific legal content and no matter-type coverage statement anywhere. A buyer can see that legal teams use it; they cannot see which legal work it is built for. Checked 7 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?
No customer agreement is published, and no policy page states a position on training. The website terms, the privacy policy of 15 February 2024, the security page, the FAQ and the Josef Q product and AI controls pages were checked on 1 September 2026, and no customer agreement is published anywhere on the site. The FAQ states that customers retain full ownership of their data and that Josef acts as custodian, which is an ownership statement rather than a training commitment, and Josef Q answering only from uploaded content describes the retrieval corpus rather than model training.
The AI page states plainly that customer data is never used for AI training, alongside commitments that Kedy AI is hosted entirely on Legito servers and that no third-party service processes customer data in AI. The agreement was located and read in full before this value was written. The Subscription Services Agreement contains no training or model improvement right anywhere and, in the opposite direction, grants Legito the right to use customer data solely for the purpose of performing under the agreement, which is a purpose limitation consistent with the marketing claim rather than in tension with it.
The one clause that had to be tested is the statistical information provision, which permits Legito to compile and publish statistics about service performance provided they neither identify the customer or customer data nor allow re-identification. That clause does not name machine learning, training or model improvement and it operates on performance metrics rather than on customer content, so it does not reach the permissive end of this set.
The value is policy rather than contract only because the commitment sits on a product page while the agreement, last modified September 2023, does not mention AI at all.
Prompt and Output Retention
How long does the product keep what a lawyer typed, and can that be set to zero?
Retention is acknowledged without a period. The privacy policy of 15 February 2024 states Josef retains service data for the duration of the business relationship and a period afterwards for analysis, historical and archiving purposes, deleting or anonymizing it once no ongoing legitimate business need remains. No period is stated and no customer control is offered. The audit trail page separately states that all user questions and generated answers are tracked and stored by Josef Q, so prompts and outputs plainly persist, but no document read on 1 September 2026 says for how long.
Nothing published addresses how long prompts to Kedy AI or the outputs it returns are retained. The agreement sets a general customer data rule, being a 30-day export window after termination after which Legito has no obligation to maintain the data and may destroy it, but that governs documents and workspace content rather than AI interactions, and no separate period, no zero-retention option and no configurable setting is described for prompts or outputs.
The AI page states that data always stays within Legito servers, which is a location commitment rather than a retention one and is not read as answering this question. This is an established absence rather than an unread surface: the Subscription Services Agreement, its data processing exhibit, the AI page, the security page and the pricing page were all read on 7 September 2026 and none addresses the point.
Ethical Walls and Matter Segregation
Does retrieval respect the firm’s ethical walls, or can the model read across them?
No located public material addresses ethical walls, matter-level segregation or tenant separation. The security page, privacy policy, FAQ, website terms and the Josef Q product and AI controls pages were checked on 1 September 2026. Access is described at the level of encryption and access auditing rather than who can see which content. Permissions are implied at tool level, since a builder selects which sources each tool draws on, but nothing published describes how separation between users, teams or matters is enforced at query time.
Access control is claimed and named but the segregation model behind it is not documented. The security page lists a robust access control list, IP address login restrictions, password requirements customizable per workspace, user inactivity logouts and a session shutdown method, and the workspace is evidently the tenancy boundary since each customer chooses its own storage region. What is missing is any published account of how separation works below that boundary: nothing describes matter-level or client-level walls, how a conflict is enforced between two teams inside one workspace, whether Kedy AI is scoped to a user's permissions when it searches or extracts, or what an administrator can configure.
No document management system integration exists, so there is no external access control list for the product to inherit. The controls are real; the model a firm would need to evidence a wall is not published.
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 compelled disclosure and commits to nothing on notice. It states that information is provided to comply with the law, giving a search warrant, subpoena or court order as the examples, and separately that Josef discloses where required to enforcement agencies, government agencies and regulatory bodies. No commitment to notify the customer, and no carve-out for where notice is lawfully permitted, was located on 1 September 2026.
The policy does state that Josef has received zero government requests for information since it was founded, which is a transparency statement rather than a published transparency report.
The commitment is contractual and mutual. The confidentiality section of the Subscription Services Agreement provides that a recipient may disclose confidential information to the extent required by law or court order, but will give the disclosing party advance notice so that it can seek a protective order. Customer data is expressly defined as the customer's confidential information, so the undertaking reaches the material a legal buyer cares about.
This is a real commitment rather than a reservation of discretion: the obligation to notify is stated without a carve-out for cases where notice is prohibited, and the stated purpose is to preserve the customer's opportunity to resist the demand. It stops short of the top of this set because Legito publishes no transparency report and no statistics on the demands it has received, so a buyer can see the promise but cannot see how often it has been triggered or honored.
Primary Law Corpus Provenance
Where does the law in this product come from, and does the vendor have the right to use it?
The product does not retrieve primary law, so there is no legal corpus to source. Josef Q answers from the policies, playbooks and templates a customer uploads, which the vendor states explicitly in contrast to the open internet. No public material identifies any primary law source, license basis or update cadence, checked 1 September 2026. Recorded as not addressed because the question does not arise for this product class, rather than because the vendor declined to answer it.
Two different questions sit here and the vendor answers neither, though only one of them bites. Kedy AI operates on the customer's own documents, templates and workspace data rather than on an external legal corpus, so there is no case law, legislation or third-party content library whose licensing a buyer would need to check, and that limb does not apply to this product class. The limb that does apply is the provenance of the model itself, and nothing is published about it: Legito does not say what Kedy AI was trained on, whether it was built in house or adapted from a base model, or what rights it holds in whatever data underlies it.
An assurance that no third party processes customer data in AI describes the inference path and says nothing about where the model came from. Surfaces read on 7 September 2026: the AI page, the security page, the Subscription Services Agreement and its data processing exhibit.
Good Law Verification
Does the product tell you when the authority it just cited has been overruled?
No citator, and none would apply. Josef Q returns answers from customer-uploaded policy and playbook content rather than case law or legislation, so there is no authority whose subsequent history could be checked. Nothing on the product, AI controls or audit trail pages addresses currency of the source content beyond letting an administrator add, update or remove documents in the Moderation tab. Checked 1 September 2026.
The product ships no citator and makes no good-law claim, which is the expected position for a document automation and contract lifecycle platform rather than a gap in disclosure. Kedy AI extracts metadata from customer documents, drafts into customer templates, converts Word files into templates and drives workflow operations; none of those functions cites legal authority, and no published surface asserts that outputs are checked against current law.
Recorded as not addressed because the value set requires a value, with the reason stated here so that a reader does not take the floor value as a finding against the vendor. Nothing in this record depends on it.
Refusal and Uncertainty Behavior
What does the product do when the answer is not in the corpus?
Josef publishes an explicit no-answer path. The AI controls page states that Josef Q is a closed-domain system answering only from content the customer uploads, and that where it does not know the answer it says so in those words. The behavior is presented as a property of the closed domain rather than a prompt instruction. Recorded as documented rather than demonstrable because no published evaluation or observable test of the behavior was located on 1 September 2026.
Nothing published describes what Kedy AI does when it is unsure. No confidence score is described as visible to a user, no threshold is stated at which the assistant declines or escalates, no behavior is documented for a document it cannot parse or a field it cannot populate, and no refusal or abstention policy appears anywhere. The closest published material is a blog article asking whether a reader can accept that AI returns different results in two identical situations, which acknowledges nondeterminism as a property of the technology without stating what this product does about it, and market commentary on the blog is not a product disclosure.
The point matters more here than it would on a passive tool because AI agents are marketed as undertaking recurring tasks unattended. Surfaces read on 7 September 2026: the AI page, the security page and the customer agreement.
Fabricated Citation Record
Does a public court record exist addressing fabricated or hallucinated legal citations in output from this product?
No court order, opinion or disciplinary record naming this product has been located. The AI Hallucination Cases database maintained by Damien Charlotin was searched on 1 September 2026 on both the product name and the company name, Josef Legal Pty Ltd, alongside general sanctions coverage, and nothing naming the product was found. The database held roughly 1,668 cases as of July 2026, so this is a statement about the public record rather than a finding about the product. Josef Q does not generate citations to legal authority.
No matter naming Legito or Legito s.r.o. was located in the hallucination case tracking maintained by Damien Charlotin or in reporting drawn from it, searched on 7 September 2026 on both the product name and the company name. The tracked corpus is substantial, with roughly 712 decisions recorded worldwide and about 90 percent of them from 2025, and the sanctions reporting reviewed names the products involved where they are known, including instances tied to purpose-built legal AI tools.
Legito appears in none of it. This is consistent with the product class: the platform drafts from customer templates and extracts from customer documents rather than generating citations to legal authority, so the exposure this signal tracks is structurally low. Recorded as none located rather than as a positive finding about vendor conduct.
Bar Guidance Alignment
Has the vendor engaged in public with the ethics opinions its buyers are bound by?
No located public material engages with bar or ethics guidance. ABA Formal Opinion 512 is not mentioned, no state bar or law society opinion is named, and no ethics or professional responsibility page exists. Checked across the home page, the three product pages, the AI controls and audit trail pages, the FAQ, the security page, the website terms and the privacy policy on 1 September 2026. The vendor sells to law firms and to legal aid organizations delivering client-facing tools, which is where that guidance binds the buyer.
No reference to bar or regulator guidance on AI use was located on any Legito Workspace surface. Nothing names the ABA Model Rules, a state bar opinion, the Solicitors Regulation Authority, a European bar body or any equivalent authority, and neither the customer agreement nor the AI page nor the legal department page nor the law firms page carries a professional conduct statement. The Legito Marketplace terms require a user to acknowledge that the application is not a legal service or its substitute, but the Marketplace is a separate product with its own purchase path and terms, that acknowledgment is a disclaimer rather than alignment with named guidance, and it is not credited to this record.
Surfaces read on 7 September 2026 are the Subscription Services Agreement and its exhibits, the AI page, the security page, the legal and law firms pages and the site footer inventory.
Billing and Fee Posture
Does the vendor address what happens to the bill when the work takes an hour instead of six?
Time savings are published and the billing consequence is not addressed. The L’Oréal case study reports a 66% reduction in contract turnaround, a contract moving from over an hour to 20 minutes, and roughly two weeks of work saved a year. No public material addresses how AI-assisted work should be recorded or disclosed on a bill. The question is attenuated for the primary buyer, an in-house team that does not bill clients, but Josef also sells to law firms and NewLaw practices building client-facing tools, where it does arise. Checked 1 September 2026.
Time savings are published and specific while the fee consequence of those savings is nowhere addressed. The vendor and its customers publish figures including contract checking falling from 20 to 50 minutes down to 5 minutes per contract, roughly 450,000 hours saved at a Big Four firm, and a 10,000-user deployment built by two part-time specialists. Nothing anywhere addresses what happens to a client bill when work that took six hours takes one, no per matter record of AI-assisted work is described, and no guidance on fee or disclosure treatment is offered.
Two qualifications belong on the record. The savings claims are attributed to rule-based document automation rather than to Kedy AI, so even the claims that exist are not AI-assisted-work claims in the sense this signal asks about. And the platform is bought by legal operations and back-office teams across procurement, HR and finance as much as by firms billing clients, so the direction this signal assumes, being vendor sells to firm and firm bills client, holds for only part of this vendor's buyer base.
Outside Counsel Guideline Readiness
Can a firm get this vendor through a client’s AI clause without a bespoke negotiation?
The material exists behind a request. The privacy policy states that a list of third-party subprocessors can be provided on request, and no published list was located on 1 September 2026. No model provider is named anywhere on the site, so a firm could not tell its client whose model sees the client’s content without first contacting Josef. No trust center, disclosure pack or client-facing consent material was found. The request route is an email contact rather than a self-service portal, so it does not reach the middle tier.
The material exists and is gated. The data processing exhibit states that the list of sub-processors is available upon the customer's request sent electronically, and that notification of engaged sub-processors means listing them on a Legito webpage accessible to the customer upon request, with a right to raise reasonable objections to a new sub-processor. That is a real mechanism, but it is available to customers who ask rather than published, so a firm cannot answer a client's AI clause from public surfaces.
Two infrastructure suppliers are named publicly on the security page, being OVH for hosting and Braintree for payments, but naming a hosting provider says where software runs and not whose model touches client content, so it does not satisfy this signal. No model provider is named for Kedy AI anywhere. The one genuinely forwardable public statement is the AI page's assurance that no third-party service processes customer data in AI and that data is never used for training, which answers part of what a client asks but is a marketing page rather than a disclosure pack.
One defect should be recorded because it bears on the mechanism a buyer must use: the published data processing exhibit gives the request address as helpdesk at an address reading the application dot com, an evident find-and-replace artifact where the company name was substituted, leaving the contact route for the sub-processor list broken as published.
Court Disclosure Support
If a judge’s standing order requires an AI disclosure, can the product produce one?
Some elements of a record exist without a document-level export. The audit trail page states that all user questions and generated answers are tracked and stored by Josef Q, and the AI controls page states the source list shows the exact page, paragraph and clause an answer drew on, so what was asked, what was answered and what it relied on are all captured. No model is identified, no human verification step is recorded against an individual answer, and no export of a per-document disclosure record is described.
Checked 1 September 2026. The product produces internal guidance rather than court filings, so this is an operational audit trail rather than a filing-oriented one.
Nothing published describes support for disclosing AI use to a court or tribunal. No AI use log, no certification template, no export of what the assistant did on a given document and no guidance on disclosing AI assistance appears on any surface. The platform does ship a timeline and versioning audit trail, described on the security page as a general security feature and in the product material as workspace history, and in principle a record of that kind could support such a disclosure.
It is named here rather than credited because nothing frames it as covering AI actions specifically, nothing describes what it captures when Kedy AI or an agent acts, and no export shaped for a court is offered. Crediting a general platform audit trail as court disclosure support would read a capability into a feature the vendor has not claimed. Surfaces read on 7 September 2026: the AI page, the security page, the customer agreement and its data processing exhibit.
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.
- AI Governance and Bias Disclosure
- Primary Law Corpus Provenance
- Good Law Verification
- Bar Guidance Alignment
Which one fits
Choose Josef if
- You want employees to get answers from your own policies, not the open internet. Josef Q answers only from the content you upload, shows the page, paragraph and clause each answer drew on, and replies that it does not know when the answer is not there.
- Your legal team wants to control what a tool tells people. Josef's moderation layer lets the team review and edit answers, add or remove sources, and tune tone and length, and every question and answer is tracked and stored.
- You want evidence from in house teams like yours. Josef names L'Oréal, where Legal Counsel Candy Welsh reports a 66 percent drop in contract turnaround, and puts the general counsel of adidas and the head of legal operations at Bupa on the record.
Choose Legito if
- You want the data terms in a contract you can read. Legito's published agreement makes customer data the customer's property and confidential information, limits Legito's use of it to performing the service, and commits to advance notice before any compelled disclosure.
- You need data kept in one region. Legito lets each customer choose storage in Vint Hill, Virginia, Limburg, Germany or Melbourne, Australia, hosted with OVH, and its processing terms bar transfer outside that location without express written consent.
- You want to start without paying. Legito offers a permanently free plan with document lifecycle management, a no code application builder and electronic signature, plus a 30 day trial of all features with no credit card.
In summary
Josef
Josef, from Josef Legal Pty Ltd of Australia, is a no code platform on which in house legal and compliance teams build self service tools for the business: AI question and answer tools drawn from the team's own policies and playbooks, automated contract and document generation, and intake and approval workflows. Its AI module, Josef Q, answers only from uploaded content, cites the passage it used and says when it cannot answer. The AI Legal Index grades it in the top two bands on eight of fifteen capability axes. It states SOC 2 Type II, offers data residency in the US, Europe, the UK and Australia, and names L'Oréal, adidas and Bupa among customers. As of 1 September 2026 the index located no customer agreement, named model provider or price.
Legito
Legito, from Legito s.r.o. of Prague, is a no code document automation and contract lifecycle management platform for legal, procurement, HR and finance teams, with interactive templates, routing and approvals, an application builder and free electronic signature. Its AI layer, Kedy AI, extracts metadata, drafts into templates from emails, converts Word files into automated templates and runs agents for recurring tasks. The AI Legal Index grades it in the top two bands on six of fifteen capability axes. Its published agreement limits use of customer data to performing the service, its processing terms lock data to a chosen region, and it offers a permanently free plan. As of 7 September 2026 the index located no named model, AI oversight description or paid price.
Questions buyers ask
Josef vs Legito: which is better for no code legal automation?
On published evidence Josef sits in the top two bands on eight of fifteen AI Legal Index capability axes and Legito on six of fifteen, identical on six. Josef documents how its AI answers and how a legal team controls it. Legito publishes a readable customer agreement, a locked data region and a free plan. Teams whose priority is contract terms before signing have more to read from Legito.
What happens when Josef Q cannot find an answer?
Josef describes Josef Q as a closed domain system that answers only from the content a customer uploads. When the answer is not in that content, it replies, in the vendor's words, that it does not know. The legal team can review and edit answers and add or remove sources. No measured accuracy figure or test set is published. 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.
Does Legito use customer data to train its AI?
Legito's AI page states that customer data is never used for AI training, that Kedy AI is hosted entirely on Legito servers, and that no third party service processes customer data in AI. Its agreement does not mention AI, but limits Legito's use of customer data to performing the service. Josef publishes no position on training either way. 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.
Where do Josef and Legito store data?
Josef offers data residency in the US, Europe, the UK and Australia, without stating its tenancy model or where AI processing runs. Legito lets each customer choose Vint Hill, Virginia, Limburg, Germany or Melbourne, Australia, hosted with OVH, and its processing terms bar transfer outside that location without express written consent, though its sign up form also lists Canada. 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 Josef and Legito both leave unpublished?
Whose model runs their AI and how it is governed. Neither names a model or model provider, and neither publishes an AI governance position, testing before release or any finding on uneven output. Neither addresses professional responsibility for tools that give employees or the public answers, and neither publishes a paid price. 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.
Three readings to weigh. Legito's commitments that its AI runs on its own servers and never trains on customer data sit on a product page, while its agreement, last modified in September 2023, does not mention AI. Its ISO 27001 certification is cited to the 2013 edition with a last audit stated in July 2021. Josef publishes only website terms and a privacy policy, so its low grades on liability and pricing record what could be read. Josef was verified on 1 September 2026 and Legito on 7 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.