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Robin AI

Contract review, drafting and negotiation platform for in house legal teams and law firms handling high volumes of incoming contracts. Delivered through a Microsoft Word add in with Ask, Draft, Edit and Research modes alongside a browser application with a searchable repository of executed contracts. Reviews against customer playbooks, with the vendor's own legal team building and maintaining those playbooks as a managed service, including separate heavy and light markup positions for the same contract type.

Also sells Managed Services as a distinct line, combining the software with human legal review. Founded in London in 2019, with offices in New York and Singapore. Partners with Anthropic and AWS, and is backed by Google, Temasek and PayPal Ventures among others.

Compared with

Robin AI, head to head

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

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Capability grades

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

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

AI Centrality

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

The models are the product. Review, redlining, the Word add in's Ask, Draft, Edit and Research modes, clause level risk analysis and repository search are all generative or machine learning capabilities. The vendor states a training base of more than 4.5 million legal documents and 100 million legal clauses. One qualification applies: the company also sells Managed Services combining the software with human legal review, so part of what it sells is people. The software product itself is model driven throughout.

Source: Vendor Published
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.

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.

Accuracy is asserted without measurement. Grounding exists in outline. The Word add in's Research mode is described as enhancing answers with authoritative, current information from a curated set of trusted legal sources on the web, and review output is clause level with risk flags tied to company standards. No accuracy figure, hallucination rate, test set or evaluation method is published, and nothing describes how retrieval reaches those trusted sources or how a reader opens and verifies one.

The headline claim across vendor material is a speed figure, 80 to 85 percent faster review, rather than an accuracy figure.

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

Autonomy and Oversight Model

What the system decides on its own, what a lawyer must approve, and whether the vendor documents where the review point sits. A tool that drafts under review and a tool that files without one are different products and different risks.

A real published commitment has the models working alongside a supervising lawyer, with documented review surfaces and no full control structure. The Word add in surfaces clause level recommendations as tracked changes, comments or highlighted text based on company standards, which a lawyer accepts or rejects in place. The four modes separate asking from drafting from editing, so the user chooses the level of intervention.

The Managed Services line puts the company's own legal professionals in the loop as a paid option, a literal form of oversight. Not located: any threshold at which the system defers, what it does on its own, and what the vendor commits to when an output is wrong.

Source: Vendor Published
CC on Operational and Outcome EvidenceCustomer logos and unattributed testimonials stand in for evidence, or results are quoted with no basis stated.

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.

Customer logos and press mentions stand in for evidence, with results quoted from an internal source. A customers page exists and press logos including the Financial Times, Bloomberg, Forbes and CNBC are displayed prominently, alongside investor logos including Google, Temasek and PayPal. The most specific published figure, review completed over 85 percent faster, is attributed to the vendor's own internal legal team testing its own add in rather than to a customer.

Searched the site, the customers page, the news and blog indexes and the guides and reports index and located no named customer deployment carrying figures, a date and an assessable method. Press coverage and investor backing are not deployment evidence.

Source: Vendor Published
CC on Privilege and Confidentiality PostureConfidentiality is asserted in general terms, or the commitment lives only in a sales conversation and cannot be read in advance.

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.

Confidentiality is asserted in general terms, and the one commitment that matters carries a qualifier that changes it. The security page states that customer data will not be used for model training, fine tuning or other feature development without express consent. That is permission gated by consent rather than a prohibition. Real controls are published: AES-256 at rest, current TLS in transit, and a statement that data never leaves the vendor's AWS environment.

Not located: handling of attorney client privilege or work product, any segregation model between customers, users or matters, and any retention or deletion terms. For a product whose core use is taking in counterparty contracts at volume, the absence of a segregation statement is material.

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

UPL and Professional Responsibility Posture

Whether the vendor is clear that it supplies a tool rather than legal advice, who its audience is, and how it addresses unauthorized practice of law, competence and supervision duties, and jurisdiction limits. ABA Formal Opinion 512 is the reference point. Where the advice line is not the duty a product raises, the axis is read through the nearest professional duty it does raise: judicial conduct rules and the reviewing duty for products sold only to courts, and the duty to bill for time actually spent for products that draft time entries.

The audience is lawyers and legal teams, and the terms carry a standard structure, but no position on the advice line is published. The site, the platform and services pages, the published terms and the privacy policy, searched, showed no statement on advice versus tooling, no treatment of competence or supervision duties, and no jurisdiction limits. That is despite the company operating across the UK, US and Singapore and marketing to multiple jurisdictions.

The Managed Services line, in which the vendor's own legal professionals review work for customers, raises the advice question more sharply than a pure software product would, and nothing published says how that service is scoped or supervised.

Source: Vendor Published
DD on AI Governance and Bias DisclosureNo governance position published for a system whose output affects legal outcomes.

AI Governance and Bias Disclosure

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

No governance position for model behavior is published: no named internal owner, no pre release testing regime, no published responsible AI or AI governance framework, no AI specific certification such as ISO 42001, and nothing on uneven output across matter types, parties or populations. The vendor publishes real security governance, which is a different subject.

Source: Operator Verified
CC on AI Safety and Data StewardshipA generic privacy policy covers the product without addressing what happens to documents and prompts after processing.

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.

A generic security posture covers the product without addressing what happens to documents and prompts after processing. Published and real: AES-256 at rest, current TLS in transit, security built into the development lifecycle, data replication across geographic locations with disaster recovery exercises and automated failover, and named monitoring tools in AWS CloudWatch, CloudTrail and Datadog. That is operational security described in useful detail.

Not located: any retention period for documents or prompts, any deletion control, a named subprocessor list, and an incident or breach notification practice. Anthropic and AWS are named as partners on the security page, which partly discloses the supply chain but is not a subprocessor list.

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

AI Liability and Recourse

What the vendor stands behind contractually when its output is wrong. Indemnities, caps, carve outs, insurance, and whether any of it is published or only reachable through a negotiated agreement.

Liability is addressed only through published terms carrying a standard limitation structure. Terms and a privacy policy are published openly, so a buyer can read the allocation of loss before entering a sales process, which keeps this above a pure absence. Searched those documents, the security page and the trust center entry point 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.

Worth noting that the Managed Services line involves the vendor performing legal review work, which raises a distinct recourse question that published material does not address.

Source: Vendor Published
CC on Practice Systems Integration DepthIntegrations are listed as logos or marked as coming, with no documentation an implementer could use.

Practice Systems Integration Depth

How deeply the product reaches into the systems legal work already lives in: document management such as iManage and NetDocuments, Word and Outlook, contract lifecycle management, matter management, e-billing, and court filing systems.

Integrations are claimed without documentation an implementer could use. The Microsoft Word add in is real, documented at user level in Robin University, and is the primary surface, alongside a browser application with a searchable executed contract repository. Beyond Word, third party sources describe CRM and CLM integration but no vendor integrations page is published, and no named connector for document management, contract lifecycle or e signature is published on the property.

A third party review notes limited file format support beyond Word documents. Nothing published describes what any integration moves, in which direction, or what an administrator configures.

Source: Vendor Published
CC on Deployment Model and Data ResidencyCloud delivery is implied and neither the tenancy model nor the region is stated.

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.

Cloud delivery is stated, and neither the tenancy model nor the region is. The vendor says data never leaves its AWS environment and is replicated across multiple geographic locations for disaster recovery. That is a resilience statement rather than a residency one, and it arguably cuts against a customer wanting data confined to one jurisdiction. Not located: any named region, any residency the customer can choose, any tenancy model, and any statement of where processing happens as distinct from storage.

Other sources mention private cloud deployment options, which is not vendor material. For a UK founded vendor selling into the UK, US and Singapore, published residency options would be expected.

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

Security Certifications and Trust Center

Independent attestation a buyer can pull without a sales call: SOC 2, ISO 27001, penetration test summaries, a trust center with current reports and named scope rather than a badge image.

Certification is real and stated with an open access route, without scope or evidence. ISO 27001 and SOC 2 are both named as certified and GDPR compliance is stated. A trust center is published at a stable URL as a self serve route rather than a sales gate. Not located: any coverage period, audit scope, report date, SOC 2 type or named auditing firm. The security page writes ISO without a number in one place and ISO27001 in another.

The certification is stated clearly enough elsewhere that this reads as loose copy rather than a problem with the claim.

Source: Vendor Published
CC on Model Supply Chain DisclosureThe vendor refers to advanced or proprietary models without identifying what sits underneath.

Model Supply Chain Disclosure

Which models sit underneath, whose they are, where they run, and whether the vendor commits to telling customers when that changes. A legal buyer inherits every dependency it cannot see.

The vendor names a partner without disclosing the supply chain. Anthropic and AWS are both named as partners on the security page, and other coverage describes collaboration with Anthropic and AWS to build secure models, so a reader can infer the likely model provider. But naming a partnership is not the same as stating which model serves which task. Not located: which models are used in production, where they run, whether any other provider is involved, a subprocessor list, or any commitment to notify customers when the supply chain changes. The partner logo invites an inference that the published material does not confirm.

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

Commercial Transparency

Whether a buyer can learn what this costs without entering a sales process: published rates, the unit being charged, what sits behind an enterprise tier, and what implementation adds.

No pricing page exists, no rate is published, no unit of charge is stated and no tier structure appears. Every commercial path ends in a demo request. Vendor material refers to a free account with add in access and paid accounts with playbook customization, and tells buyers to speak to a member of the team to learn what paid accounts include, so even the split of features between free and paid is not published. Other sources describe subscription pricing without figures.

Source: Operator Verified
CC on Firm and Practice CoverageCoverage is claimed broadly, for all firms or all practice areas, without evidence that the breadth is real.

Firm and Practice Coverage

Who the product is actually built for. AmLaw, midlaw, small firm and solo, in house departments, government and courts, and which practice areas are supported rather than merely claimed.

Coverage is claimed broadly without evidence that the breadth is real. Vendor material addresses in house legal teams, law firms and corporate clients across multiple jurisdictions. The practice focus is clearly contract work: review, drafting, negotiation and tracking obligations after signature, with other sources naming NDAs, service agreements, procurement and employment agreements. Offices are published in London, New York and Singapore.

No segmentation a buyer could use is published. There are no pages by firm size, industry or role, no statement of which practice areas or team sizes the product is built for, and no statement of what it is not built for. The customers page exists but does not resolve the segments claimed.

Source: Vendor Published
Sources on file

5 public documents

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

Legal Signals

What each signal means

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

Confidentiality and Privilege

Client Data in Training

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

Opt in

Training occurs only where the customer has affirmatively enabled it.

The security page states that customer data will not be used for model training, fine tuning or other feature development without express consent. Read precisely, that is a commitment not to train without consent rather than a prohibition, so training becomes possible where consent is given. No material was located describing how consent is sought, at what level it is given, or whether it is a contract term or a product setting.

The vendor's trust center separately states that data is never used to train other AI models, which addresses outside models rather than its own. The qualifier and the ambiguity are stated here and left unresolved.

Source: Vendor Publishednot be used for model training, fine-tuning, or other feature development without express consentAs of Aug 29, 2026Evidence

Prompt and Output Retention

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

Not addressed

No located public material states how long prompts and outputs are retained.

Searched the security page, the trust center entry point, the published terms, the privacy policy and the help center entry point on 29 Aug 2026. No public material states how long documents, prompts or outputs are retained, whether a customer controls the window, or whether deletion is available. The vendor does publish that data never leaves its AWS environment and that data is replicated across multiple geographic locations for disaster recovery, which describes where copies sit rather than for how long.

The browser application maintains a searchable repository of executed contracts, so the product is designed to retain documents, with no published terms attached.

Source: Operator VerifiedAs of Aug 29, 2026

Ethical Walls and Matter Segregation

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

Not addressed

No located public material addresses walls or matter level segregation.

Searched the security page, the trust center entry point, the platform pages, the published terms and the help center entry point on 29 Aug 2026. No vendor material addresses segregation of any kind: not between customers, not between users, not between matters. Third party sources refer to sophisticated user permissions and single sign on, which is not vendor material and was not treated as evidence. No document management integration was located whose permissions retrieval could inherit.

The product ingests counterparty contracts at volume and maintains a shared searchable repository, which makes the absence of any published segregation model a live question rather than an academic one.

Source: Operator VerifiedAs of Aug 29, 2026

Third Party Request and Subpoena Notice

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

Not addressed

No located term or policy addresses third party requests for customer data.

Searched the published terms, the privacy policy, the security page and the trust center 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.

Source: Operator VerifiedAs of Aug 29, 2026
Accuracy and Authority

Primary Law Corpus Provenance

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

Not addressed

No located public material identifies the corpus behind the product’s answers.

Two bodies of content are described and neither is identified. The training base is quantified as more than 4.5 million legal documents and 100 million legal clauses, with no statement of where those documents came from or on what rights basis they were assembled. That matters more for a collection of contracts than for public case law. Separately, the Word add in's Research mode is described as drawing on a curated set of trusted legal sources on the web, with none of those sources named. No license basis, jurisdiction list or update schedule was located for either as of 29 Aug 2026.

Source: Vendor PublishedAs of Aug 29, 2026Evidence

Good Law Verification

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

Not addressed

No located public material addresses whether authority is checked for subsequent history.

Searched the site, the platform pages, Robin University and the help center entry point on 29 Aug 2026. No material was located addressing whether authority carries a treatment signal or whether subsequent history is checked, and no commercial citator license was located. Noted for context: this is a contract review product whose grounding is customer playbooks and contract language rather than case law, so a citator is largely outside its design, though the add in's Research mode does reach legal sources on the web.

Source: Operator VerifiedAs of Aug 29, 2026

Refusal and Uncertainty Behavior

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

Not addressed

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

Searched the site, the platform pages, Robin University, the blog and the help center 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 was located. Review output carries risk flags at clause level, which ranks how serious a flagged issue is rather than how confident the system is that it found one, and was not treated as a confidence signal for this purpose.

Source: Operator VerifiedAs of Aug 29, 2026

Fabricated Citation Record

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

None located

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

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 is a contract review product rather than a litigation or research tool, so its output is unlikely to reach a court filing as cited authority, and note that the database is weighted toward US filings while this vendor is UK founded.

Source: Operator VerifiedAs of Aug 29, 2026Evidence
Professional Responsibility

Bar Guidance Alignment

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

Not addressed

No located public material engages with bar or ethics guidance.

Searched the site, the blog, the news index, Robin University, the guides and reports index and the webinars page on 29 Aug 2026. No engagement with any named ethics opinion or professional guidance was located, including ABA Formal Opinion 512, US state bar guidance, and Solicitors Regulation Authority or Law Society guidance given the company's London base and UK founding. The vendor publishes substantial educational content about contract workflows and legal AI adoption, which addresses practice efficiency rather than the professional responsibility obligations its buyers are bound by.

Source: Operator VerifiedAs of Aug 29, 2026

Billing and Fee Posture

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

Savings claims only

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

Savings are claimed prominently with nothing published on the client's side of the equation. The headline claim across vendor material is contract review 80 percent faster, with an internal figure of over 85 percent faster from the vendor's own legal team. Searched the site, the platform and services pages, the blog and the guides and reports index 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. The vendor sells to law firms as well as in house teams, so the firm side of that question applies here.

Source: Vendor PublishedAs of Aug 29, 2026Evidence

Outside Counsel Guideline Readiness

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

Not addressed

No located public material supports a client side disclosure obligation.

A trust center is published at a stable URL and can be reached without a sales conversation, which is a real access route, and the security page names Anthropic and AWS as partners. But the documents a client's AI clause asks for were not located as of 29 Aug 2026. There is no subprocessor list, no statement of which model providers see customer content, and no consent or notification material a firm could forward to its own client. A partner logo is not a disclosure of model providers, and no list exists to point to.

Source: Operator VerifiedAs of Aug 29, 2026Evidence

Court Disclosure Support

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

Not addressed

No located public material addresses court disclosure or verification certification.

Searched the site, the platform pages, the security page and Robin University on 29 Aug 2026. Third party sources describe exportable audit logs and reports, which is not vendor material and was not treated as evidence. On the vendor's own property no per document export covering model used, sources retrieved and human verification together was located, and the model used is not identifiable from published material in any case.

Noted for context: this is a contracting product rather than a litigation product, so a judicial AI disclosure order is less likely to reach its output.

Source: Operator VerifiedAs of Aug 29, 2026
Contact

Correct a record, or ask how something was graded

Every grade and every signal on this index is drawn from public sources and dated. If a record is wrong, out of date, or missing an artifact the index did not locate, send the source and it will be reviewed and the record redated. Vendors are welcome to submit documentation. Nothing on this index is for sale, including a listing, a placement, or a grade.

AI Legal Index

The AI Legal Index is an independent index that tracks changes to AI vendors in legal. It holds 430 vendors across 9 categories, each graded on the same 15 capability axes and recorded against 12 legal signals, from public sources. No vendor pays for inclusion, placement, or rating.

Index Status
Last index update
October 14, 2026
The AI Legal Index is an editorial reference. It is not a regulatory body, not a law firm, and nothing published here is legal advice or a recommendation to retain or avoid a vendor. Records are verified against published sources, bar guidance and public court records. Where a record reads not addressed, the material was not located in public sources on the date shown. See the Methodology page for evaluation standards and limitations.
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