Legora vs Saga: how they compare in 2026

L
Legora profile
S
Saga profile
Last verifiedOctober 13, 2026

Legora led and Saga came third among AI assistants in use in Europe in a 2026 Legaltech Hub survey, and the products overlap more than their sizes suggest. Each offers a chat and research workspace, review of large document sets in a grid, a workflow builder, and Word and Outlook add ins. Legora goes further on agents and client delivery. Its Agent plans and checks multistep work, Portal lets clients run the firm's workflows, and it holds ISO 42001. Saga goes further on local law and adoption support. Its research covers 44 jurisdictions with daily updates and Nordic and Dutch publishers, users pick from current OpenAI and Anthropic models, and Amplify legal engineers train each firm. Legora publishes no price, and Saga publishes Solo at €135 a month. Legora fits a large firm that wants an agentic system and a client portal. Saga fits a mid sized European law or tax firm that wants national law at hand and a team to help it adopt AI.

At a glance

Category
LegoraGeneral Legal Assistants
SagaGeneral Legal Assistants
Founded
Legora2023
SagaNot published
Headquarters
LegoraStockholm, Sweden
SagaAmsterdam, Netherlands
Last verified
LegoraOct 13, 2026
SagaOct 13, 2026

All 15 axes, side by side

The same grid applied to every vendor in the index, graded from public sources. Hover a grade to see what the letter means on that axis.

AI Centrality

How much of the product is actually AI. Whether the machine learning is the mechanism the buyer is paying for or a feature layered onto conventional software, and whether the vendor is specific about which is which.

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

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.

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

Each part of Saga runs on a model. Chat answers questions about documents and the law, drafts and analyzes contracts. Assistants carry custom instructions, from templates or from scratch, and can challenge an argument or simulate a scenario with a judge or a devil's advocate. Grid Review reads hundreds of documents into a table that sorts by date, number or true and false, for due diligence and mass analysis. The workflow builder chains these blocks, either by drag and drop or from a plain description, and lets the firm decide how much agency a workflow has. Research, translation of whole documents and drafting from the case file sit beside them. Projects and sharing organize the work, but no matter management or billing system stands apart from the AI.

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.

Legora
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.

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.

Saga
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.

Research answers link every point to its source. The legal research collection holds about 15 million documents, case law, legislation and regulation for 44 jurisdictions, refreshed every 24 hours, gathered by Saga itself and from partners and publishers such as Lovdata, Rettsdata and NL Fiscaal. Semantic retrieval returns results with the court, date and case number, a cited source is marked as verified, and results can be added to a Project in one step. Where no reliable source exists, the answer says so instead of offering an invented authority. No measured accuracy rate, test set or failure analysis is published.

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.

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

The 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.

Saga
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.

Firms decide how much agency each workflow gets in the workflow builder, from fixed reusable steps to agentic runs. In Word, Saga works through redlines and comments the lawyer can accept or reject. Ready made workflows ask the user to confirm the parties before generating letters, notices and reports from the same source data. Summaries, timelines and issue maps carry source references so the lawyer knows where to read in full. Saga positions judgment, confidentiality and responsibility as staying with the lawyer, and its Amplify legal engineers train firms and build workflows with them before and after rollout. No published threshold makes a workflow stop and hand back, and recovery after a wrong output is not described.

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
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.

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.

Saga
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.

More than 500 legal teams and law firms in over 25 countries use Saga, and the company reported passing €5.5M in annual recurring revenue in September 2026. Named firms are quoted by partners and managers: Nysingh, La Gro, Sherrards, Arcagna, Brækhus, DVDW, Advokatfirma Lippestad, Stek, Poelmann van den Broek and Brinkhof. DVDW describes launching Saga for legal research and document analysis, Nysingh describes its use as a law and notary firm, and Brækhus calls it central to its own transformation. Saga also announced a partnership with the Brazilian firm Madrona Advogados and reported ranking third among European legal AI assistants used by legal teams in June 2026. No customer publishes a figure for time saved or quality, and no case study with measured outcomes is published.

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.

Legora
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.

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.

Saga
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.

Customer data does not train models, and the customer remains its owner. Data is kept confidential and segregated from other customers, access is managed between user groups inside a firm, and private links and encryption protect it in transit and at rest. Abuse monitoring and content filters from the model labs are switched off, so prompts are not held by those labs for review. Sole practitioners are promised that confidentiality stays with them while the product does the groundwork. These commitments sit on Saga's security page and trust center. The service agreement and data processing agreement that govern customer data are not public, and privilege and work product are not addressed by name.

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
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.

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.

Saga
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.

Buyers include law and tax firms, legal departments, sole practitioners and public bodies, among them courts and police organizations. The material keeps judgment, confidentiality and responsibility with the lawyer and presents the product as groundwork rather than advice, with drafts started from the file for the lawyer to finish. Sole practitioners are told the product is safe to rely on because it says when no source exists. No terms of service are published, so no written disclaimer on legal advice, user eligibility or jurisdiction limits can be read. Professional rules for the bars Saga serves are not discussed, and use by courts is not tied to judicial conduct rules.

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

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.

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

Alignment with the EU AI Act is claimed, and an EU AI Act compliance document sits in the trust center behind an access request. The Amplify program offers client firms governance aware adoption, workshops on prompts, assistants and workflows, and quarterly reviews. The trust center groups more than 90 controls under infrastructure, organizational, product and data protection headings, with an internal audit program. No AI policy, release testing regime, accountable owner or analysis of uneven output across jurisdictions or languages is published.

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.

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

The 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.

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

Subprocessors are listed with their role and region. Microsoft Azure hosts in the Netherlands, Switzerland or the United States, and Weaviate holds the database in the same regions. Amazon Web Services runs models in Germany or the United States, Google Cloud runs models in the Netherlands or the United States, and DeepL translates. Data is encrypted in transit and at rest over private links, and access is managed by user group. External and internal security tests run regularly, with reports dated December 2025 and February 2026, and continuity, disaster recovery, capacity and configuration management sit among the published controls. Account data is kept while the account is active and for 30 to 90 days after deletion. No retention period for documents, prompts or outputs and no breach notice timeline are published.

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.

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

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.

Saga
DD on AI Liability and RecourseNothing published on who bears the loss when the system is wrong.

No terms of service, service agreement or limitation of liability is published. The privacy policy refers to a service agreement and a data processing agreement between Saga and each customer, and the data processing agreement is listed in the trust center behind an access request. Caps, indemnities, warranties and recourse for wrong output cannot be read before signing.

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

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.

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

A Word add in reviews and edits documents from a prompt, an email or a playbook, fills templates and marks changes as redlines and comments. An Outlook add in, launched in June 2026, drafts and summarizes email, attaches Saga documents and imports emails with attachments into a Project. Saga announced an iManage connection in August 2026, links to the Dutch document systems Epona365 and DMSforlegal in June 2026, and a September 2026 partnership with Dillien for deal data. Research results can be added straight into a Chat or a Project, and translated documents keep their comments and redlines. Single sign on is set up during onboarding. What each document system connection syncs, and in which direction, is not described.

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
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.

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.

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

Cloud hosting runs on Microsoft Azure, with regions in the Netherlands, Switzerland or the United States and the vector database in the same three regions. Model processing is listed separately from storage, on Amazon Web Services in Germany or the United States and on Google Cloud in the Netherlands or the United States. Each customer's data is segregated from the others and reached over private links, and single sign on is configured per firm at onboarding. Translation runs through DeepL. The region a given plan uses, and any on premises option, are not stated.

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.

Legora
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.

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.

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

ISO/IEC 27001:2022 is held. The certificate, the audit report and the statement of applicability sit in a trust center beside dated security test reports, a security training attestation and more than 90 controls, and documents are released through an access request. SOC 2 is pending, and GDPR compliance is stated, with an accessibility statement and the data processing agreement among the agreements on file. The certification body and the certificate dates are not shown on the public view.

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.

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

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.

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

The platform is model agnostic. Saga picks a model for each query, or the user chooses one, and new models are announced as they arrive, such as GPT-6 in September 2026, Claude Opus 5.5 that month and GPT-5 in 2025. Models run through Amazon Web Services in Germany or the United States and Google Cloud in the Netherlands or the United States, both listed as subprocessors. Saga describes the product as a glass box rather than a black box. No commitment to give notice before a model or provider changes is published.

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.

Legora
DD on Commercial TransparencyNo pricing information published at any level, including the unit of charge.

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.

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

Solo, for sole practitioners and small teams, is published at €135 a month on a 12 month term or €150 a month on a 3 month term, with a 14 day free trial that needs a card. It includes drafting, review, research and workflows across 15 million documents in 40 jurisdictions, with no setup fees and no per document charges, and prices can be shown in euros, dollars, kroner or krona. Saga Enterprise for mid sized and large firms, legal departments and public bodies is quoted after a demo.

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
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.

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.

Saga
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.

Customers range from sole practitioners and small teams to mid sized and large law and tax firms, legal departments, and public bodies such as municipalities, courts, tax authorities and police organizations. Research covers 44 jurisdictions, from the EU, the Netherlands, Norway and the UK to the United States, Brazil and Mexico, and the interface runs in English, Dutch, Norwegian, Italian, German and Turkish. Translation handles more than 50 languages for cross border files. Ready made workflows cover matter types such as letters, notices, reports and wills, and tax firms use it for tax research. Practice areas and jurisdictions outside the product's range are not stated.

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?

Legora
Never, in the contract

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.

Saga
Never, in policy only

Customers remain the owners of their data, and it is not used for training, a commitment made on Saga's security page and repeated as a control in its trust center. Abuse monitoring and content filters from the model labs are switched off. The service agreement and data processing agreement are not public, so no matching contract term can be read.

Prompt and Output Retention

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

Legora
Customer controlled, no zero option

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.

Saga
Not addressed

Core account data is kept while an account is active and for 30 to 90 days after it is deactivated or deleted. With abuse monitoring from the model labs switched off, prompts are not held by those labs for review. How long Saga itself keeps documents, prompts and outputs in Projects and Chats is not stated.

Ethical Walls and Matter Segregation

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

Legora
Claimed, not documented

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.

Saga
Claimed, not documented

Each customer's data is segregated from other customers, and access inside a firm is managed between user groups. Projects hold the documents, case law and regulations for a matter and can be shared with colleagues. How permissions on a Project are set, and whether they follow a document system such as iManage, is not described.

Third Party Request and Subpoena Notice

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

Legora
Notice committed

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.

Saga
Disclosure addressed, notice absent

The privacy policy, last updated on 13 August 2026, lists competent public authorities among the recipients of personal data where the law requires it. It makes no commitment to tell the customer about a request or to resist one, and no transparency report is published. Customer data under the service agreement is governed by a data processing agreement that is not public.

Primary Law Corpus Provenance

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

Legora
Sources named, basis unstated

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.

Saga
Sources named, basis unstated

The collection holds about 15 million case law, legislation and regulation documents for 44 jurisdictions, refreshed every 24 hours. Part of it is gathered directly and the rest comes from partners, with the publishers Lovdata, Rettsdata and NL Fiscaal named among them. Coverage runs from the Court of Justice of the EU and national courts in the Netherlands, Norway, the UK and Germany to the United States, Brazil and Mexico. Which sources serve each jurisdiction, and the rights basis for each, are not listed.

Good Law Verification

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

Legora
Own treatment signal

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.

Saga
Not addressed

Cited sources carry a verified label and show the court, date and case number, and legislation is refreshed every 24 hours. A verified label confirms that the cited document exists. No flag for a decision that has been overturned or a provision that has been amended is described.

Refusal and Uncertainty Behavior

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

Legora
Not addressed

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.

Saga
Documented

Answers come from real, cited sources, and where none exists the product says there is no reliable source rather than inventing an authority. The research view marks such a citation as no source found beside the verified ones. No published evaluation shows how often this happens.

Fabricated Citation Record

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

Legora
None located

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.

Saga
None located

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 Saga or Saga International. Saga links every research answer to its source and marks a missing source as such.

Bar Guidance Alignment

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

Legora
Not addressed

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.

Saga
Generic reference

Judgment, confidentiality and responsibility stay with the lawyer in Saga's material, and its Amplify training is described as helping firms adopt AI responsibly, with professional development points available. No ethics opinion or bar guidance from the Netherlands, Norway or any other market it serves is discussed, and no mapping of the product to professional rules is published.

Billing and Fee Posture

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

Legora
Savings claims only

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.

Saga
Savings claims only

Law and tax firms are the main buyers, and the product is pitched on understanding a case in minutes and researching in seconds, while customer partners describe working more efficiently. Saga's own commentary argues that usage based pricing suits large firms rather than smaller ones. No guidance on billing clients for AI assisted work or disclosing it is published, and no record of AI work by matter is described.

Outside Counsel Guideline Readiness

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

Legora
Subprocessors listed

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.

Saga
Subprocessors listed

Subprocessors are listed with role and region on the security page and in the trust center: Microsoft Azure, Weaviate, Amazon Web Services and Google Cloud for model inference, and DeepL for translation. The data processing agreement, the ISO report and an EU AI Act compliance note are released through an access request. No client facing disclosure pack is published.

Court Disclosure Support

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

Legora
Partial record

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.

Saga
Partial record

Every research answer links to its source, Projects keep the documents and authorities behind a piece of work, and the user can see or choose which model answered. Word edits arrive as redlines and comments, and summaries and timelines carry references back to the source documents. No export records the model, the sources and the person who verified a filing, and no court disclosure template is published.

Which one fits

Choose Legora if

  • You want an agent that plans and checks its own work. Legora's Agent proposes a plan, executes across documents and tools, and verifies the result before handing it back.
  • Clients should use your workflows directly. Portal gives them a branded space for the firm's workflows and cited answers.
  • You need AI governance certified now. Legora holds ISO 42001, while Saga lists SOC 2 as pending.

Choose Saga if

  • Your work runs under Dutch, Norwegian or other European law. Saga's research refreshes 44 jurisdictions every 24 hours and draws on Lovdata, Rettsdata and NL Fiscaal.
  • You are a sole practitioner or a small team. Saga Solo has a published monthly price and a 14 day trial, with research, review, drafting and workflows included.
  • You want people to help you adopt it. Amplify legal engineers run onboarding, training, workshops and quarterly reviews.

In summary

Legora

Legora offers aOS to law firms, in house teams, mid sized firms and the public sector, covering M&A, litigation, banking, tax and insurance work. Its Agent, Tabular Review, Workflows and Legal Research run alongside Word and Outlook add ins, an editor and a mobile app. According to the AI Legal Index, Legora holds ISO 42001, ISO 27001 and SOC 2 Type II and states that customer data never trains or fine tunes any AI model.

Source: AI Legal Index, 2026

Saga

Saga, made in Amsterdam with Norwegian roots, gives lawyers Projects, legal research across 44 jurisdictions, Grid Review, custom assistants and a workflow builder on a model agnostic platform. Its Amplify team supplies legal engineers for onboarding and training. According to the AI Legal Index, Saga keeps customer data out of training and hosts on Azure in the Netherlands, Switzerland or the United States. It holds ISO 27001:2022, with SOC 2 pending.

Source: AI Legal Index, 2026

Questions buyers ask

Is Saga a smaller Legora?

The feature sets overlap: chat and research, grid review of document sets, workflows, and Word and Outlook add ins. Legora is larger and adds an agent that checks its own work and a client portal. Saga leans on national law coverage across Europe, model choice and hands on adoption support. From the AI Legal Index, based on each vendor's own published materials as of October 13, 2026. No vendor pays for placement.

Which one covers more jurisdictions?

Saga lists 44 jurisdictions of case law, legislation and regulation, refreshed every 24 hours. Legora offers agentic research across jurisdictions for tax and other practice areas. From the AI Legal Index, based on each vendor's own published materials as of October 13, 2026. No vendor pays for placement.

How do Legora and Saga protect client data?

Legora will not use customer data to train or fine tune models and offers customer managed keys. Saga does not use customer data for training, segregates each customer's data, and has abuse monitoring by the model labs switched off. From the AI Legal Index, based on each vendor's own published materials as of October 13, 2026. No vendor pays for placement.

Which security certifications do they hold?

Legora holds ISO 27001, ISO 42001 and SOC 2 Type II. Saga holds ISO/IEC 27001:2022, with SOC 2 pending and its certificate, audit report and statement of applicability available through its trust center. From the AI Legal Index, based on each vendor's own published materials as of October 13, 2026. No vendor pays for placement.

Disclosure

Neither vendor paid for inclusion, placement or a grade, and neither reviewed this page before it published. Everything on it comes from public material on the dates shown. How the index grades.

Legora's earlier name was Leya, from its 2023 start in Stockholm. Saga International B.V. raised a seed round of more than €1.5M in October 2025, and the survey ranking comes from Saga's own report of Legaltech Hub's findings. Neither vendor reviewed this page.

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.
© 2026 AI Legal Index
3801 N Capital of Texas Hwy, Ste E240 · Austin, TX 78746