Legora vs Spellbook: how they compare in 2026

These two are often shortlisted together and they are not really the same purchase. Spellbook lives inside Microsoft Word, which for transactional drafting is the deepest integration available rather than a connector alongside the work. Legora is a separate collaborative workspace the matter team moves into. On the grid Spellbook is ahead, in the top two bands on twelve of fifteen axes against nine, and it wins the axes that decide a confidentiality review: it names its model providers, describes zero data retention precisely enough that a reader can see the mechanism, and takes the top grade on model supply chain disclosure while Legora does not name its providers at all. Spellbook also explains why its architecture reduces hallucination rather than only claiming it does. Legora's counter is contractual openness and a working surface built for teams rather than individuals.

Legora profileSpellbook profile
Last verifiedAugust 30, 2026

At a glance

Category
General Legal Assistants
Contract Review & Drafting
Founded
2023
2018
Headquarters
Stockholm, Sweden
St John's, Newfoundland and Labrador, Canada
Last verified
Aug 29, 2026
Aug 29, 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.

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

The models are the product. The workspace is AI native rather than a document system with a model attached, and every surface the vendor sells, review, drafting, research and workflows, is a generative capability. Remove the models and nothing remains to sell.

Spellbook

The models are the product. Review, Draft, Ask, Compare and the Associate agent are all generative capabilities delivered through a Word add in that exists to carry them. The company pivoted its whole business to generative AI in 2022, rebranding from Rally to Spellbook. Remove the models and there is no product, only an empty add in.

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.

CC on Citation Accuracy and Hallucination DisclosureAccuracy is asserted without measurement, or grounding is claimed while output cites sources the reader cannot open and verify.
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.
Legora

Grounding is claimed in vendor material, which describes reliable and verifiable answers and cells linked to their source. Searched the vendor site, blog, newsroom and trust center on 29 Aug 2026 and located no published accuracy measurement, no evaluation framework, no hallucination rate and no description of the retrieval method. Third party directories describe a citation verification capability, which is not vendor material and does not move this axis.

Spellbook

Grounding is real and documented with the method described, short of published figures. The vendor states its architecture explicitly and unusually: it does not fine tune, it connects general purpose models to proprietary market data and requires them to fetch and cite rather than rely on learned patterns, on the stated reasoning that putting documents into a model's long term memory encourages hallucination. Compare benchmarks a clause against a stated corpus of more than 2,300 contract types and explains why differences matter, and Ask is published as producing answers with citations. The vendor also publishes educational material on hallucination risk aimed at its own users. Not located as of 29 Aug 2026: any accuracy figure, hallucination rate, test set or evaluation for its own product. Worth noting the CEO has publicly questioned third party benchmarking studies of legal AI tools while the company publishes no measurement of its own.

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.

CC on Autonomy and Oversight ModelAutonomy is claimed and oversight is asserted without a mechanism. Human in the loop appears as a phrase rather than a described control.
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.
Legora

Human oversight is asserted as a governing principle in vendor material and is covered in the abstract by an ISO 42001 certification of the AI management system. What is not published is the mechanism: where the review point sits, what an agentic workflow does on its own, at what threshold it stops, and what a supervising lawyer must approve. Searched the vendor site, blog and trust center on 29 Aug 2026. Oversight appears as a stated principle rather than a described control.

Spellbook

A real written commitment that the models work alongside a supervising lawyer, with a genuine review surface, short of the full control structure. Associate is described as the first AI agent that can work through multi document legal matters with your oversight, which states the oversight position in the product's own headline claim. The delivery model is itself the review mechanism: output arrives as tracked redlines inside a Word document the lawyer accepts or rejects clause by clause, which is a more concrete control point than most of this market publishes. Not located as of 29 Aug 2026: what the agent decides on its own within a matter, the threshold at which it stops, and what happens after an output is wrong.

Operational and Outcome Evidence

Named, dated evidence that the product works in production at real firms or legal departments. Case studies with figures and identified customers count. Unattributed testimonials and launch announcements do not.

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.
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

Named customers appear in vendor material, including a published Grant Thornton UK forensic investigations story, and the vendor states more than 1,000 customers across 50 plus markets. Additional named users including Cleary Gottlieb, Goodwin, Linklaters, White and Case, Dentons and Barclays appear in vendor recruiting material. Not located as of 29 Aug 2026: dated outcome figures with a method a reader could assess, which is what separates this from an A.

Spellbook

Real deployment evidence with substance, short of the full A bar. Multiple named customer stories are published with individually attributed detail, including Dropbox with a named associate general counsel on video, Panasonic on saving three weeks building an RFP process, KMSC Law with a named partner, Alturas Capital Partners, Elevare Law and Westaway with a named managing partner. The logo wall names large enterprises including eBay, Fender, Crocs, Franklin Templeton, Hapag Lloyd, Valentino and DirecTV, and the vendor states more than 4,500 legal teams across 80 plus countries. Figures appear but attach loosely: a named partner states Spellbook helps him bill an extra hour a day, and Panasonic's three weeks is a stated saving. Not located as of 29 Aug 2026: a dated case study carrying figures with a method a reader can assess.

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.

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.
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.
Legora

Substantive published commitments, and unusually for this market they sit in openly published contract documents rather than only on a trust page: general terms and conditions in EU and US versions, a data processing agreement, and a security measures annex covering least privilege access, personnel confidentiality obligations, authorization controls and retention on customer instruction. The security page states the vendor will not use customer data to train or fine tune models. Two gaps hold this off an A. Attorney client privilege and work product handling is not addressed directly in located material, and matter level segregation between users is not documented.

Spellbook

Substantive published commitments, short of the full picture. Zero data retention agreements are stated as negotiated with both named model providers, OpenAI and Anthropic, with the mechanism described precisely: customer data in requests and responses is not persisted and exists only in memory to process a request. That is a stronger and more specific statement than most of this market publishes. Encryption, SSO through Microsoft Entra with enforced MFA, and audit controls are stated. Two gaps hold this off an A. Attorney client privilege and work product handling is not addressed directly in located material. Segregation between users or matters inside a customer is not documented, and for a firm facing product the applicable standard under the amended band is matter level walls.

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.

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.
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

The intended audience is unambiguously lawyers, firms and in house teams, and vendor material describes the product as working with lawyers rather than replacing them. Searched the vendor site, the published acceptable use policy, the general terms and the blog on 29 Aug 2026 and located no published position on the advice line, no treatment of competence and supervision duties, and no statement of jurisdiction limits.

Spellbook

The audience is unambiguous, transactional lawyers at firms and in house teams, with a signup form that asks a prospect to confirm they are a legal professional and offers no path for non lawyers. The vendor publishes educational material engaging with a lawyer's duty of competence and the obligation to verify AI output. What was not located, after checking the site, the solutions pages, the published terms of service and the learning hub on 29 Aug 2026, is a published position on the advice line, on supervision duties as distinct from competence, or on jurisdiction limits, despite the product being sold in more than 80 countries.

AI Governance and Bias Disclosure

Published governance over model behaviour: who owns it inside the vendor, what is tested before release, and what is disclosed about disparate output across matter types, parties, or populations.

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

Holds an ISO 42001 certification covering 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 named as the operating principles. That is a published governance framework with real substance and independent validation, which is rare in this market. Not located as of 29 Aug 2026: a named internal owner of AI governance, published pre release testing results for model behaviour, or any disclosure about uneven output across matter types, parties or populations.

Spellbook

A published governance framework with real substance and independent validation, short of testing results or a named owner. The vendor commissioned and publishes an independent legal opinion from CMS Law on its classification under the EU AI Act, states it was assessed as low risk, and makes the full opinion letter downloadable from its trust portal along with the controls implemented for that classification. Commissioning an outside law firm to classify your own AI system and then publishing the letter is a governance artifact rather than a principles page, and no other vendor on this index has published one. Not located as of 29 Aug 2026: a named internal owner of model governance, published pre release testing results for model behaviour, or any disclosure about uneven output across matter types, parties or populations.

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.

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.
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.
Legora

The published security measures annex covers access on a least privilege and role based model, centrally stored logs traceable to unique usernames with security logs retained at least 12 months, data integrity signing, personnel background checks and confidentiality agreements, and retention set by customer instruction. The published data processing agreement commits the vendor to assist with the customer's own breach notification obligations, so incident practice is addressed. ISO 27001:2022 is audited yearly. Not located as of 29 Aug 2026: a current named subprocessor list, which is the remaining element of the A bar.

Spellbook

Substantive published policy covering most of the ground, short of the full set. Published and specific: zero data retention at the model layer with both providers named and the mechanism described, a complete third party subprocessor list with processing locations in the trust portal, AWS named as primary cloud provider, storage and processing locations stated as Canada and the US, access control through Microsoft Entra so a customer enforces its own authentication and MFA policy, breach notification addressed through implemented HIPAA Breach Notification rule controls with signed business associate agreements downloadable, and a published vulnerability disclosure policy. What holds this off an A is deletion, which the A band requires alongside the rest: searched the security page and FAQ, the published terms of service, the privacy policy and the trust portal entry point on 29 Aug 2026 and located no stated retention period for the vendor's own storage of documents, prompts and outputs, no customer control over that window, and no deletion commitment. This record's own prompt-and-output-retention signal row records the same gap.

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.

BB on AI Liability and RecourseA real published position on liability, short of the full picture: commonly a stated indemnity without scope or caps.
CC on AI Liability and RecourseLiability is addressed only through a standard limitation clause that disclaims the exposure the product creates.
Legora

A real published position, which is uncommon here. General terms and conditions are published openly in EU and US versions and carry numbered liability clauses, aggregate caps that apply across the subscriber and its affiliates, a separate cap of 100,000 Euro on beta features, and a carve out concept the terms call an Enhanced Claim. A buyer can read the allocation of loss before entering a sales process. Not located as of 29 Aug 2026: indemnity scope for third party claims arising from output, any warranty on output, and any insurance position, so the full picture is short of an A.

Spellbook

Liability is addressed only through published terms a buyer can read in advance, without a position on the exposure the product creates. Terms of service, a privacy policy and a refund policy are all published openly, which is more than several vendors on this index manage, and the refund policy is an unusual published commercial commitment. But searched those documents, the security page and the trust portal entry point on 29 Aug 2026 and located no indemnity running to the customer for third party claims arising from output, no warranty on output, no stated liability cap figure and no insurance position. The vendor will sign a business associate agreement for protected health information, which is a regulatory undertaking rather than recourse for wrong output.

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.

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

Real and named integrations: an iManage technology partnership working through iManage APIs with an announced expansion, SharePoint, Box, a Microsoft Word add in for drafting and redlining, Outlook, EDGAR, and import from virtual data rooms and contract lifecycle systems. The vendor is explicit that it integrates with document management systems rather than replacing them. Not located as of 29 Aug 2026: implementer level documentation describing what each integration moves, in which direction, and what an administrator must configure, which is what the A bar asks for.

Spellbook

Real integrations exist and are documented, short of depth. The product is delivered as a Microsoft Word add in and also runs in Google Docs, which is the deepest possible integration into the surface where transactional drafting actually happens rather than a connector alongside it. A dedicated integrations page is published, and the ACM product describes contracts arriving from email, Slack and Salesforce. Authentication integrates with Microsoft Entra. Not located as of 29 Aug 2026: legal specific document management connectors such as iManage or NetDocuments, and per integration documentation describing what moves in which direction and what an administrator configures.

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.

CC on Deployment Model and Data ResidencyCloud delivery is implied and neither the tenancy model nor the region is stated.
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.
Legora

The claim is made and the detail is not published. Vendor material states flexible storage options matched to data sensitivity, and separate EU and US contract documents indicate region specific arrangements, with the technical team in Sweden operating under GDPR. Searched the vendor site, the security pages and the published legal documents on 29 Aug 2026 and located no list of available regions, no tenancy model, and no statement of where processing happens as distinct from where data is stored.

Spellbook

Deployment model is stated clearly with partial residency detail. The vendor publishes that AWS is the primary cloud provider and that customer data is stored and processed in data centres in Canada and the US, with a full list of subprocessors and their locations in the trust portal. That is a real residency statement naming both jurisdictions. What is missing is customer choice and tenancy: no selectable region, no single tenant or private deployment option, and no statement of the tenancy model was located as of 29 Aug 2026. For a vendor selling into more than 80 countries, the absence of an EU or UK processing option is a live buyer question the site does not address.

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.

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.
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.
Legora

Three current independent certifications, ISO 27001:2022 audited yearly, SOC 2 Type II, and ISO 42001 for AI management, with a public trust center at security.legora.com carrying a resources section and a data flow diagram, plus security whitepapers and a security measures annex published openly with no gate at all. The open publication of the security annex is full credit rather than a request flow. The certifying auditor is not named in located material, which is the one thing a peer in this category does publish.

Spellbook

Certification is real and stated with an open route to the evidence, short of published scope. SOC 2 Type II and HIPAA are both named, and the badges on the home page link directly to named, dated resources in the trust portal rather than sitting as decorative images, which is a materially better pattern than most of this market and is why this is not a C. The trust portal is at a stable URL and carries downloadable documents including business associate agreements and the EU AI Act opinion letter. Under the three tier test this is a self serve request flow rather than a sales gate. What was not located as of 29 Aug 2026 is the audit coverage period, the scope, or the name of the auditing firm.

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.

CC on Model Supply Chain DisclosureThe vendor refers to advanced or proprietary models without identifying what sits underneath.
AA on Model Supply Chain DisclosureThe models underneath are named, their providers identified, where they run is stated, and the vendor commits to notifying customers when any of that changes.
Legora

Vendor material refers to how it implements, supervises and evolves AI without identifying what sits underneath. Searched the vendor site, the trust center, the published general terms, the data processing agreement and the security measures annex on 29 Aug 2026 and located no named model provider, no subprocessor list and no commitment to notify customers when the supply chain changes. Third party sources describe a multi model approach running on Microsoft Azure, which is not vendor material and does not move this axis.

Spellbook

The models underneath are named, their providers identified, where they run is stated, and the commercial terms binding them are disclosed. The vendor names GPT-5 and Claude Opus as the models powering the product on its own home page, names OpenAI and Anthropic as the providers, states the zero data retention agreements negotiated with each and what that means technically, names AWS as the primary cloud provider, states processing locations as Canada and the US, and publishes a complete third party subprocessor list at a stable trust portal URL. Naming the specific model versions in marketing copy is rare and is what a customer inheriting the dependency actually needs. Short of the very top only in that no explicit commitment to notify customers before the model supply chain changes was located, though the subprocessor list is the mechanism through which such a change would surface.

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.

DD on Commercial TransparencyNo pricing information published at any level, including the unit of charge.
CC on Commercial TransparencyPricing is gated behind a demo request while tier names and feature splits are published, so the shape is visible and the number is not.
Legora

Searched the vendor home page, product pages, newsroom and legal pages on 29 Aug 2026. No pricing page, no published rate, no stated unit of charge and no published tier structure located. The only commercial entry point is a demo request, which is sales gated and earns no credit. Several independent third party pricing analyses state the same, and one reports a consumption based tier that was not located on the vendor site. Third party per seat estimates are not vendor published and do not move this axis. Note that the vendor does publish its general terms openly, which is transparency of terms rather than of price and is graded on the liability axis instead.

Spellbook

Pricing is gated behind a demo request while tier names and feature splits are published, so the shape is visible and the number is not. The pricing page publishes two named tiers, Law Firms and In House Teams, itemises what each includes, states that pricing is structured around the number of team members on a licence, and confirms a 7 day free trial with extended trials available for larger organisations. Free access for academic institutions is published. So a buyer learns the unit of charge and the packaging without a sales call. No figure appears at any tier, and the only route to one is a demo booking. Checked the pricing page, the home page and the footer on 29 Aug 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.

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.
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

Segment coverage is described with substance: large law firms, in house legal departments, and professional services including a published forensic investigations customer story, spanning more than 1,000 customers across 50 plus markets with multi jurisdiction and cross border work as a stated strength. Practice coverage spans review and diligence, research, drafting and investigations. Not located as of 29 Aug 2026: any statement of the boundaries, meaning which firm sizes or practice areas the product is not built for.

Spellbook

Segment and practice coverage is described with substance, short of the boundaries. Two buyer segments carry dedicated pages, law firms and in house legal, and six industries have their own: energy, healthcare, financial services, technology, manufacturing, and retail and consumer goods. Firm size is addressed in the trial form from 1 to 10 through 200 plus, and the vendor states more than 4,500 teams across 80 plus countries. Practice focus is stated clearly and repeatedly as transactional and commercial legal work rather than claimed broadly, which is a real self limit. Short of an A because litigation appears as an option in the signup form while nothing on the site describes litigation support, and because no statement of which practice areas or firm sizes the product is not built for was located.

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 policy only

The vendor home page and security page both state that customer data is not used to train or fine tune any AI models. The vendor publishes its general terms and conditions and its data processing agreement openly, and a training prohibition was searched for in those documents on 29 Aug 2026 and not located, so the commitment as recorded rests on the security and marketing pages rather than on a located contract term. The full agreement text was not read end to end.

Spellbook
Never, in policy only

The vendor states plainly that zero data retention means its model providers never learn from, train on or store customer data, and the security FAQ describes the mechanism: agreements negotiated with OpenAI and Anthropic under which customer data in requests and responses is not persisted and exists only in memory to process a request. The commitment as located covers the model providers specifically and sits on a public security page and pricing page rather than in a term of the published customer agreement, which was searched on 29 Aug 2026. No separate statement was located as to whether the vendor itself trains on customer content, as distinct from its providers.

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

REGRADED 29 Aug 2026 after the value set was amended; previously recorded at disclosed without a period, following an earlier correction that established the customer control exists. Rechecked against the source document. Section 17 of the published security measures annex, dated 31 Jan 2025, states that during the term of the data processing agreement personal data is subject to the retention requirements the subscriber instructs from time to time, and that after termination or expiry clause 11 of that agreement governs. Retention is therefore customer instructed and the commitment sits in a contract document rather than a policy page, which is the contractual form of control this value describes and is enforceable in a way a policy page is not. Recorded at customer controlled rather than the top value because no retention period is published and no zero retention setting was located. Also confirmed on the same document and worth factoring in as a retention floor: subscriber environments are logically separated at all times, and full production backups are taken every four hours.

Spellbook
Disclosed without a period

At the model provider layer the answer is specific and zero: data in requests and responses is not persisted and exists only in memory. That is a real published retention position for the part of the pipeline buyers ask about most. What was not located as of 29 Aug 2026, after checking the security page, the published terms of service, the privacy policy and the trust portal entry point, is any statement of how long the vendor itself retains prompts, documents and outputs in its own systems, whether a customer controls that window, or whether deletion is available. Recorded at the middle value because retention is acknowledged and answered for one layer without a period for the other.

Ethical Walls and Matter Segregation

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

Legora
Not addressed

Searched the vendor site, the iManage partnership announcement, the security page, the published security measures annex and the trust center on 29 Aug 2026. No vendor material was located addressing whether retrieval enforces document management system permissions at query time per user, or how ethical walls and matter level segregation are handled. The security annex documents least privilege access for vendor personnel, which is a different question. A partner case study describes per query authentication, which is not vendor material.

Spellbook
Not addressed

Searched the security page, the integrations page, the published terms of service and the trust portal entry point on 29 Aug 2026. No vendor material addresses ethical walls or segregation between users or matters. Authentication runs through Microsoft Entra, so a firm enforces its own identity policy at sign in, but that governs who can open the add in rather than what the product may retrieve per user. No legal document management integration was located whose permissions retrieval could inherit at query time. For a product sold to law firms this is the applicable standard and it is not addressed.

Third Party Request and Subpoena Notice

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

Legora
Not addressed

Searched the published EU and US general terms and conditions, the data processing agreement, the security measures annex and the acceptable use policy on 29 Aug 2026. No clause addressing government or law enforcement requests for customer data was located, and no transparency report was located. This records a search that did not surface the clause rather than a reading of the full agreements end to end.

Spellbook
Not addressed

Searched the published terms of service, the privacy policy, the security page and FAQ, and the trust portal entry point on 29 Aug 2026. No clause committing to notify a customer of a government or law enforcement request for their data was located, and no transparency report was located. This records a search across the published documents that did not surface the clause rather than a reading of every document end to end.

Primary Law Corpus Provenance

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

Legora
Jurisdictions only

Research coverage is described by jurisdiction, reported at twelve, and the vendor announced the acquisition of Qura, a Stockholm legal database covering case law, legislation and regulation, which it is extending to larger markets. What is not identified is the corpus itself: which publishers or public sources the law comes from, the licence or public domain basis for each, and the update lag. Searched the vendor site, newsroom and product pages on 29 Aug 2026.

Spellbook
Jurisdictions only

The corpus here is contract market data rather than primary law, which is the right shape for a transactional product and reads differently against a signal written for case law. Coverage is quantified: Compare benchmarks a clause against a stated more than 2,300 contract types and thousands of similar agreements, and the vendor describes the architecture as fetching from proprietary market data sources and citing them. What is not published is where that market data comes from, on what rights basis it was assembled, or how current it is. Searched the Compare feature page, the clause index, the state of contracts report page and the security pages on 29 Aug 2026.

Good Law Verification

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

Legora
Not addressed

Searched the vendor site, product pages, newsroom and blog on 29 Aug 2026. No vendor material was located addressing whether authority returned by the product carries a treatment signal, whether subsequent history is checked, or whether any commercial citator is licensed. A third party directory describes a citation verification capability, which is not vendor material and was not treated as evidence.

Spellbook
Not addressed

Searched the site, the Ask and Compare feature pages, the learning hub and the help centre entry point on 29 Aug 2026. No material was located addressing whether authority returned carries a treatment signal or whether subsequent history is checked, and no commercial citator licence was located. Noted for context: this is a transactional contract product whose grounding corpus is contract market data rather than case law, so a citator is largely outside its design. The absence is recorded as found, and a reader should weigh it against what the product is for.

Refusal and Uncertainty Behaviour

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

Legora
Not addressed

Searched the vendor site, blog, newsroom and trust center on 29 Aug 2026. No published material was located describing what the product does when it cannot ground an answer, whether an explicit no answer path exists, or whether any confidence or grounding signal is exposed to the user.

Spellbook
Not addressed

Searched the site, the feature pages, the learning hub and the help centre entry point on 29 Aug 2026. No published material describes what the product does when it cannot ground an answer, and no explicit no answer path or confidence signal exposed to the user was located. The vendor publishes a clear architectural position that models should fetch and cite rather than rely on learned patterns, which is about how an answer is grounded rather than what happens when nothing supports one.

Fabricated Citation Record

Does a public court record exist involving output from this product?

Legora
None located

No court order, opinion or disciplinary record naming this product has been located as of 29 Aug 2026. Instrument searched: the AI Hallucination Cases database maintained by Damien Charlotin, which tracks court decisions worldwide involving AI generated hallucinated content and records the AI tool implicated where it is known. Also checked published 2026 sanctions summaries and secondary sanctions trackers. The entries located name filers, and in some rows other products, rather than this one. This is a statement about the public record on the date shown and not a clearance, and it is bounded by what that database covers.

Spellbook
None located

No court order, opinion or disciplinary record naming this product has been located as of 29 Aug 2026. Instrument searched: the AI Hallucination Cases database maintained by Damien Charlotin, which tracks court decisions worldwide involving AI generated hallucinated content and records the AI tool implicated where it is known. Also checked published 2026 sanctions summaries and secondary sanctions trackers. The entries located name filers, and in some rows other products, rather than this one. This is a statement about the public record on the date shown and not a clearance. Note that this vendor publishes its own editorial content about AI hallucination sanctions, which surfaces in searches for its name and is not a record about the product. Note also that the product is transactional rather than litigation facing, so its output is less likely to reach a court filing in the first place.

Bar Guidance Alignment

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

Legora
Not addressed

Searched the vendor site, blog, newsroom and resource pages on 29 Aug 2026. No engagement with any named ethics opinion was located, including ABA Formal Opinion 512 and state or national bar guidance. The vendor publishes substantial governance and certification material, which addresses its own AI management system rather than the professional responsibility obligations its buyers are bound by.

Spellbook
Generic reference

Public materials refer to professional responsibility in general terms without naming guidance. The vendor publishes substantial educational content on hallucination risk that engages with a lawyer's duty of competence and candour to the court and the obligation to verify AI output, and it is named exclusive AI partner of the Canadian Bar Association, which is a relationship with a bar association rather than engagement with its guidance. Searched the site, the learning hub, the blog and the guides and reports index on 29 Aug 2026 and located no engagement with a named ethics opinion, including ABA Formal Opinion 512, any state bar guidance, or any Canadian law society guidance.

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

Vendor material is framed around speed and volume, describing analysis of thousands of documents in minutes and teams moving faster. Searched the vendor site, blog and legal pages on 29 Aug 2026 and located no per matter record of AI assisted work intended for fee purposes, and no published guidance on billing, fee or client disclosure treatment.

Spellbook
Savings claims only

Savings are claimed with nothing published on the client's side of the equation, and unusually the framing runs the other way. A published customer quote from a named partner states the product probably helps him bill an extra hour a day, and the pricing page is headed on boosting profitability, alongside a published return on investment calculator and repeated ten times faster drafting claims. Searched the site, the pricing page, the customer stories and the learning hub on 29 Aug 2026 and located no per matter record of AI assisted work intended for fee purposes, and no guidance on billing, fee or client disclosure treatment. A published claim about billing more hours, in a market where ethics guidance is direct that a lawyer bills for time actually spent, is the sharpest version of this signal on the index so far.

Outside Counsel Guideline Readiness

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

Legora
On request only

Read against the artifacts this signal turns on, the picture is mixed and the value understates one half of it. Openly published with no gate and forwardable to a client today: general terms and conditions in EU and US versions, a data processing agreement, a security measures annex and an acceptable use policy. Not located as of 29 Aug 2026: a current subprocessor list, any statement of which model providers see client content, and any client facing consent or notification pack. The trust center carries a resources section that routes document access through a request.

Spellbook
Subprocessors listed

A firm can assemble most of what a client AI clause asks for without a sales conversation. Published through a trust portal at a stable URL: a complete third party subprocessor list with processing locations, named model providers with the zero data retention terms binding them, a dated SOC 2 Type II resource, a HIPAA resource, signed business associate agreements from vendors handling protected health information, and an independent EU AI Act classification opinion from CMS Law. Short of the top value because the material is a self serve portal rather than a client facing consent or notification pack the firm could forward as assembled, and no such pack was located as of 29 Aug 2026.

Court Disclosure Support

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

Legora
Not addressed

Searched the vendor site, product pages and published legal documents on 29 Aug 2026. Partner material describes citations being preserved when work is exported to Word, and the security annex documents security logging traceable to unique usernames, which is an infrastructure control rather than a record of AI assisted work. No per document record covering model used, sources retrieved and human verification was located.

Spellbook
Not addressed

Searched the site, the feature pages, the security page and the help centre entry point on 29 Aug 2026. The vendor states audit controls exist and Ask is published as returning answers with citations, but no per document export covering model used, sources retrieved and human verification together was located, and no disclosure or certification support material was located. Noted for context: this is a transactional drafting product whose output is contracts rather than court filings, so a judicial AI disclosure order is less likely to reach it. Recorded as found.

What neither one publishes

The questions both sides leave open

Derived from the records above rather than written, so it cannot favour either vendor. Take these into both conversations and ask each side the same question.

Signals neither addresses in public material
  • Ethical Walls and Matter Segregation
  • Third Party Request and Subpoena Notice
  • Good Law Verification
  • Refusal and Uncertainty Behaviour
  • Court Disclosure Support

Which one fits

Choose Legora if

  • Your work is document review and diligence across a matter team rather than clause level drafting by one lawyer. Tabular Review turns large document sets into a structured grid with every cell linked to its source, which is a different job from redlining in Word.
  • You want the contract before the conversation. Legora publishes general terms in EU and US versions, a data processing agreement and a security measures annex openly, which is more than most vendors in this market put in front of a buyer.
  • Your matters are cross border and you want a vendor that states multi jurisdiction work as a design strength rather than a supported case.

Choose Spellbook if

  • Your lawyers draft in Word and will not move. Spellbook is delivered as a Word add in and also runs in Google Docs, so output arrives as tracked redlines in the document rather than in a separate application to copy from.
  • You need to know which models touch your client data. Spellbook names OpenAI and Anthropic, states zero data retention agreements with both and describes the mechanism precisely. Legora does not publish its model providers, and the AI Legal Index grades the two accordingly.
  • You want the vendor's own explanation of why its architecture is less likely to hallucinate. Spellbook states that it does not fine tune, and requires models to fetch and cite rather than rely on learned patterns, on the stated reasoning that putting documents into long term memory encourages fabrication.

In summary

Legora

Legora is a collaborative AI workspace for law firms and in house legal teams, built around a shared surface where the matter team and the AI work together, with Tabular Review linking every review cell to its source. The AI Legal Index grades it in the top two bands on nine of fifteen capability axes. Its strongest feature for a buyer is contractual openness: general terms in EU and US versions, a data processing agreement and a security measures annex are published rather than gated, alongside an ISO 42001 certification and a stated base of more than 1,000 customers across 50 plus markets. It publishes no accuracy measurement, does not name its model providers, and does not describe where the review point sits in an agentic workflow.

Source: AI Legal Index, 2026

Spellbook

Spellbook is AI contract review and drafting for transactional lawyers, delivered primarily as a Microsoft Word add in and also working in Google Docs, with Review, Draft and Playbooks as core features. The AI Legal Index grades it in the top two bands on twelve of fifteen capability axes and awards it an A on model supply chain disclosure, the strongest in its category: it names OpenAI and Anthropic as providers and states zero data retention agreements with both, describing the mechanism precisely enough to verify. It publishes its architectural reasoning openly, stating that it does not fine tune and instead requires models to fetch and cite. It states more than 4,500 teams across 80 plus countries, and publishes tier names without a rate.

Source: AI Legal Index, 2026

Questions buyers ask

Legora vs Spellbook: which should a firm choose?

They are not the same purchase. Spellbook is a drafting surface inside Microsoft Word and Google Docs, aimed at transactional lawyers redlining contracts. Legora is a separate collaborative workspace built for a matter team doing review and diligence together. On the AI Legal Index grid Spellbook is ahead, in the top two bands on twelve of fifteen axes against nine, with the gap concentrated in what each publishes about models and measurement.

Which one names the AI models it uses?

Spellbook does. It names OpenAI and Anthropic as its model providers and states negotiated zero data retention agreements with both, describing the mechanism precisely: customer data in requests and responses is not persisted and exists only in memory to process a request. Legora does not publish its model providers, and the AI Legal Index grades the two differently on model supply chain disclosure as a result.

Does Spellbook work inside Microsoft Word?

Yes, and that is the point of the product. Spellbook is delivered primarily as a Word add in and also runs in Google Docs, so review output arrives as tracked redlines in the document a lawyer is already working in. Legora also ships a Word add in for drafting and redlining, but its main surface is its own collaborative workspace rather than the document.

Do either of them publish a price?

Partly. Spellbook publishes two named tiers, Law Firms and In House Teams, itemises what each includes, states that pricing is structured around the number of team members on a licence, and confirms a seven day free trial, but does not publish a rate. Legora publishes no pricing page, no rate, no unit of charge and no tier structure. Spellbook therefore grades higher on commercial transparency, though neither reaches the top band.

What do Legora and Spellbook both leave unpublished?

Neither publishes a position on liability or recourse when an output is wrong. Neither publishes a position on the advice line, on competence and supervision duties, or on jurisdiction limits, despite both selling to lawyers. And neither states which firm sizes or practice areas the product is not built for, which is the boundary statement that separates a good coverage disclosure from an excellent one.

Disclosure

A fair caution on comparability. These products overlap on contract work but are not built for the same unit of work, so a feature by feature reading will mislead: Spellbook is a drafting surface inside Word, Legora is a review and collaboration workspace. Both are graded on the same fifteen axes anyway, which is what makes the disclosure gap visible, but the fit question should be settled on how your team works before the grid is consulted. Note also that Legora's lower grades on citation accuracy and model supply chain record absence of published material as of 29 August 2026, not a finding that the capability is missing. 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.

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 61 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
August 29, 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