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Legora

Legora is an agentic operating system for law firms and in house legal teams, built so lawyers, agents and clients work in one place. The Agent plans, carries out and checks multistep legal work across documents, email, research and data rooms, and Skills encode a team's own standards. Tabular Review turns large document sets into a grid with a source behind every cell, and legal research is verified against primary law.

Word and Outlook add ins, an editor, Monitors for regulatory change, Lists, Intake and Portal, for delivering work to clients under the firm's brand, sit around them. It was founded in Stockholm in 2023 as Leya, took the Legora name in February 2025, and in 2026 bought the Swedish legal research company Qura and the company Wexler. In September 2026 it announced a rebuilt research layer with its own citator, in limited beta.

Legora counts more than 1,800 teams in over 50 markets and publishes its general terms, data processing agreement, security measures annex and subprocessor list openly.

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.

Everything Legora sells is generative. The Agent plans and executes legal work across the platform's tools, Tabular Review extracts answers from each document into a grid, research answers questions across jurisdictions, and drafting runs in Word, Outlook and the built in editor. An orchestration layer handles tool routing, memory, model selection and guardrails beneath them. Without the models there is no product left to sell.

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.

Each cell in Tabular Review expands to its reasoning and the source documents behind it, and Portal answers carry links back to the exact source. Legal research works several sources in parallel, ranks them by authority and checks each finding against primary law before the answer returns.

The rebuilt research layer announced on 14 September 2026 runs on an ontology of the law that maps how authorities rank and relate, including amendments and temporal validity. Its AI native citator follows a standard set and audited by former publisher attorney editors. Legora says it has cataloged more than 50 ways AI fails at legal research without publishing the list. The layer is in limited beta, and no accuracy figure, evaluation framework or hallucination rate is published.

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 Agent proposes a plan before it acts, carries out the work across documents, data sources and tools, checks whether it met the goal, and delivers work product into the project workspace for the lawyer's review and approval. It can also act without being asked, watching email, documents and projects and starting work when something needs attention. Tabular Review adds Mark as Reviewed, Lock Cells and Review Mode for team review, and full audit trails record every tool call, file access and agent action.

ISO 42001 covers the AI management system, with human oversight named as a principle. No threshold at which the Agent stops for a person, and no route after a wrong output, is described.

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.

Legora counts more than 1,800 teams in over 50 markets and 100,000 lawyers on the platform. Named customers include White & Case, Crowell, Accor, Dentons Europe, Trowers & Hamlins and Grant Thornton UK, whose forensic investigations team has a published story.

The customers page reports that users see a 25 percent improvement in work quality, that experienced users save 80 percent of non billable hours weekly, and that firms bill $6.4 million more per 100 lawyers a year. None of those figures carries a date, sample or method. An in house study with the analyst Ari Kaplan drew on conversations with 30 customers in nine countries.

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

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.

The general terms bar Legora from using a subscriber's confidential information to train or fine tune AI models and require the same of its subcontractors. The terms, the data processing agreement and the security measures annex are published in versions for the EU and the United States, and the annex covers least privilege access, personnel confidentiality, authorization controls and retention on customer instruction.

Ethical walls and role based access are stated to keep confidential information from crossing matters or projects, on access control built on the Zanzibar authorization model, and engineers reach customer data only with the customer's written approval. Privilege and work product handling are not addressed.

Source: Vendor Published
CC on UPL and Professional Responsibility PostureA boilerplate disclaimer sits in the terms while the marketing describes the product in advice terms, or the intended audience is left ambiguous.

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.

Legora sells to lawyers, firms and in house teams and describes the product as working with lawyers rather than replacing them, with the Agent's output delivered for a lawyer's review and approval. No position on the advice line, no treatment of competence and supervision duties and no jurisdiction limit appears in the acceptable use policy, the general terms or the product pages.

Source: Vendor Published
BB on AI Governance and Bias DisclosureA published governance framework with real substance, short of testing results or a named owner.

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.

Legora holds ISO 42001 for its AI management system, independently audited with ongoing surveillance, and publishes what the certification covers: how AI is designed, deployed, supervised and monitored, with human oversight and structured governance as the operating principles.

No internal owner of AI governance is named, no results of testing on model behavior before release are published, and nothing covers uneven output across matter types, parties or populations.

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.

The security measures annex sets least privilege and role based access, and centrally stored logs traceable to unique usernames, with security logs kept at least 12 months. It adds data integrity signing, background checks and confidentiality agreements for staff, and retention as the customer instructs. Subscriber environments are logically separated and full production backups run every four hours.

The data processing agreement has Legora report a personal data breach within 36 hours and delete or return personal data at the subscriber's choice when it ends. The subprocessor list, last updated 6 July 2026, names each provider with its purpose, data and residency, and a new subprocessor comes with 30 days to object. Penetration tests cover the full platform twice a year.

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

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.

General terms and conditions are published openly in an EU version and a version for the United States. They carry numbered liability clauses, aggregate caps that apply across the subscriber and its affiliates, a separate cap of €100,000 on beta features, and a carve out the terms call an Enhanced Claim. No indemnity for third party claims arising from output, warranty on output or insurance position is stated.

Source: Vendor Published
BB on Practice Systems Integration DepthReal integrations exist and are documented, short of depth: named connections without a description of what they actually move.

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.

Legora integrates with document management systems rather than replacing them. An iManage technology partnership works through iManage APIs, and SharePoint, Box, virtual data rooms and contract lifecycle systems feed documents in. Add ins bring the Agent and playbooks into Word and Outlook, EDGAR sits among the research sources, and MCP connectors and third party legal services feed the Agent's context.

A plugin released on 17 September 2026 brings Legora's grounded answers into ChatGPT Enterprise. What each connection moves, in which direction and what an administrator configures is not documented.

Source: Vendor Published
BB on Deployment Model and Data ResidencyDeployment model is stated clearly with partial residency detail, or residency is offered without the processing location being addressed, or the tenancy model is stated on its own with no residency detail published.

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.

Legora runs separate arrangements for the EU, the United States and Asia Pacific. Its subprocessor list sets out hosting and AI model providers by region, Microsoft, AWS and Google among them, with EU customers' data held in the EU and EEA. Storage is tiered to data sensitivity, technical teams in the EU and the United States support local clients, and subscriber environments are logically separated.

No customer selection of region inside a tier is described, and where processing happens is not separated from where data is stored.

Source: Vendor Published
AA on Security Certifications and Trust CenterCurrent independent attestation with named scope, reachable without a sales call: a trust center carrying reports, dates and the standards actually covered.

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.

ISO 27001:2022 with a yearly audit, SOC 2 Type II and ISO 42001 for the AI management system are all current. The trust center at security.legora.com carries a resources section and a data flow diagram, and the security whitepapers and security measures annex are published without a gate. Penetration tests run twice a year under an assume breach method. The certifying auditor is not named.

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 subprocessor list names Microsoft, AWS and Google for hosting, infrastructure and AI models and OpenAI for AI models, with DeepL for optional translation and Linkup Labs for web results, each with its residency. New subprocessors are announced by updating the list, with 30 days for the subscriber to object. An orchestration layer handles model selection across tasks.

No model or model version is named, and nothing states which provider serves which feature.

Source: Vendor Published
DD on Commercial TransparencyNo pricing information published at any level, including the unit of charge.

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 page, rate, unit of charge or tier structure is published, and the commercial route is a demo request. The general terms are published openly, so contract terms can be read before a sales conversation even though price cannot.

Source: Operator Verified
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.

Legora serves large law firms, small and mid sized firms, in house legal departments, the public sector and professional services, with solution pages for M&A, litigation, banking, insurance, private equity and tax. Multi jurisdiction and cross border work are stated strengths, with research sources across Europe and federal and state law in the United States. No firm size or practice area is named as outside its scope.

Source: Vendor Published
Sources on file

8 public documents

The public pages on file for Legora, 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.

What changed

Tracked changes at Legora

Oct 5, 2026Product / capabilityVerified

Legora released Skills to all customers: Markdown instruction files, which can bundle templates and examples, that teach the Legora Agent a team's standards, processes and preferences. The Agent applies a relevant Skill automatically or a user calls one with a slash, and a library of more than 250 Skills ships with the feature. Admins can restrict sharing, recipients must install a shared Skill before it runs, and matter permissions still apply.

Bears on: AI CentralitySource
Oct 2, 2026Integration / interoperabilityVerified

Legora connected to iManage Cloud. Users link an iManage matter to a Legora project, and the Legora Agent can search it by client, matter, author, date or the firm's own custom fields, then browse and preview files. Edits made in Word show as tracked changes and go back to iManage as a new version or a new document only when the user chooses, and each user connects their own iManage account so existing access rights apply.

Bears on: Practice Systems Integration DepthSource
Sep 17, 2026Integration / interoperabilityVerified

Legora released a plugin for ChatGPT Enterprise that brings Legora's grounded legal answers into the ChatGPT interface. OpenAI also named Legora as one of the API customers that will build on Astra for Law.

Bears on: Practice Systems Integration DepthSource

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.

Under the heading Feedback, Usage Data and no training, Legora's general terms bar it from using a subscriber's confidential information to train or fine tune AI models and bar its subcontractors from doing so. Legora may use usage data to develop and improve the services, and shares it outside the company only when aggregated and anonymized. The home page and security page repeat the commitment as zero AI training on customer data.

Source: Vendor PublishedLegora will not use Subscriber's Confidential Information to train or fine-tune AI modelsAs of Oct 13, 2026Evidence

Prompt and Output Retention

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

Customer controlled, no zero option

The customer controls the retention window, by product configuration or by contractual instruction, but zero retention is not stated as available.

Section 17 of the security measures annex, dated 31 January 2025, keeps personal data under whatever retention the subscriber instructs during the data processing agreement, and clause 11 of that agreement governs return or deletion after it ends. No default retention period or zero retention setting is published. Backups of the full production environment run every four hours, and each subscriber's environment stays logically separate.

Source: Vendor Publishedsubject to the retention requirements instructed from time to time by the SubscriberAs of Oct 13, 2026Evidence

Ethical Walls and Matter Segregation

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

Claimed, not documented

Segregation is asserted in public materials with no published detail on how it is enforced.

Ethical walls and role based access control keep confidential information from crossing matters or projects, and full audit trails record every tool call, file access and agent action. Access control is built on the Zanzibar authorization model. How a wall is set up, and whether retrieval applies document management permissions per user at query time, is not described.

Source: Vendor PublishedAs of Oct 13, 2026Evidence

Third Party Request and Subpoena Notice

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

Notice committed

Terms commit to notice where lawfully permitted. No transparency report located.

Legora's general terms let a party disclose confidential information when law or an order of an authority, regulator or court compels it. The compelled party gives the other notice of the proceeding where the law allows and cooperates in seeking confidential treatment. The data processing agreement adds notice of any communication with a data protection authority about Legora's processing. No transparency report is published.

Source: Vendor Publishedprovide the Disclosing Party with notice of the proceeding and compelled disclosureAs of Oct 13, 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?

Sources named, basis unstated

Sources are identified without stating the license or rights basis.

Legora names the sources behind its research. Federal law and all 50 states in the United States are hosted on Legora, beside SEC EDGAR. European sources include France's Cour de cassation, Germany's federal statutes, Sweden's court portal, Lovdata, Retsinformation, Finland's legal database and Portugal's official gazette, and content partnerships bring in publishers. The Qura acquisition adds a Swedish database of case law, legislation and regulation. No license basis or update lag is stated for any source.

Source: Vendor PublishedAs of Oct 13, 2026Evidence

Good Law Verification

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

Own treatment signal

The vendor computes and surfaces subsequent history itself, with the method described.

Legora is building its own AI native citator on an ontology of the law, announced on 14 September 2026. The ontology captures the hierarchy of authority, how sources relate and temporal validity, so an amended rule or an overruled case is recognized as such, and former publisher attorney editors set and audit the standard. The technology comes from the Qura and Wexler acquisitions. The citator is in limited beta, with general availability planned for the fourth quarter of 2026, and no coverage figure or error rate is published.

Source: Vendor PublishedAs of Sep 24, 2026Evidence

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.

The Agent checks whether it met the goal and loops back to adjust, and research ranks sources by authority before answering. No explicit no answer path, abstention behavior or confidence value shown to the user is described.

Source: Operator VerifiedAs of Aug 29, 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, which records court decisions worldwide that address hallucinated AI content and the tool involved where known, has no entry naming Legora or Leya. Legora's research checks findings against primary law, and its Tabular Review links every answer to the document it came from.

Source: Operator VerifiedAs of Oct 13, 2026Evidence
Professional Responsibility

Bar Guidance Alignment

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

Not addressed

No located public material engages with bar or ethics guidance.

Legora publishes material on its own AI governance and ISO 42001 certification, and none of it engages ABA Formal Opinion 512, a state bar opinion or national bar guidance on lawyers' use of AI.

Source: Operator VerifiedAs of Aug 29, 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.

Legora sells to law firms and in house teams, and its customers page reports 80 percent of non billable hours saved weekly by experienced users and $6.4 million in additional billing per 100 lawyers a year. The small and mid sized firm page pitches more matters handled without more headcount. No record of AI assisted work by matter for fee purposes, and no billing or client disclosure guidance, is offered.

Source: Vendor PublishedAs of Aug 29, 2026Evidence

Outside Counsel Guideline Readiness

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

Subprocessors listed

A current subprocessor or model provider list is published.

Legora publishes its subprocessor list by region, last updated 6 July 2026, naming Microsoft, AWS, Google and OpenAI as AI model and hosting providers with their purpose, data categories and residency, and offers email updates. Its general terms, data processing agreement, security measures annex and acceptable use policy are published without a gate. No client facing consent or notice pack is offered, and trust center documents come through a request.

Source: Vendor PublishedAs of Oct 13, 2026Evidence

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.

Full audit trails record every tool call, file access and agent action, Tabular Review cells link to their source documents, and Portal answers cite the exact source. No export for each document records the model used and the human verification, and no court disclosure template is offered.

Source: Vendor PublishedAs of Oct 13, 2026Evidence
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 430 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 14, 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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