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Legau

Legau is a legal drafting platform that runs inside Microsoft Word and Outlook, covering research, planning, creation, review and translation across all document types rather than contracts alone. It was founded in 2021 by attorneys in Lisbon and launched in the United States at ILTACON in August 2024. The product connects to a firm's document management system, with support published per pricing tier for SharePoint, OneDrive, iManage, NetDocuments, Google Drive and Dropbox, and retrieves from its own court decisions database and legal papers engine alongside the firm's own documents.

An add on called the Advanced AI Layer runs a firm specific model inside the firm's own infrastructure. Five law firm customers are displayed by logo on the homepage, including PLMJ and Morais Leitao, two of the largest firms in Portugal. No parent company is stated on the estate.

Vendor siteLisbon, PortugalFounded 2021
Last verifiedSeptember 15, 2026
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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.

Generative AI drives all five product functions: research, planning, creation, review and translation. The vendor brands the underlying system Legau.AI and offers no conventional mode of the product alongside it. The clearest evidence is commercial rather than editorial: AI Assistant requests are the metered unit on every pricing tier, at 10, 50 and unlimited per user per month, so the machine learning is literally what the buyer is charged for.

Source: Vendor Published
BB on Citation Accuracy and Hallucination DisclosureGrounding is real and documented, with linked primary sources and a described retrieval method, short of published accuracy figures an outsider can test.

Citation Accuracy and Hallucination Disclosure

Whether the vendor publishes measured accuracy on citations and assertions, grounds output to primary sources, and says plainly what its system does when it does not know. Legal has a documented public record of fabricated citations reaching filed briefs, so an untested claim of accuracy is not evidence.

Grounding is documented at feature level. The product retrieves from a court decisions database, an enriched layer carrying similar decisions and mentions, a legal papers engine and the firm's own document management system, and an Automatic Quoting feature places retrieved authority into the draft. No accuracy rate, hallucination rate, benchmark or evaluation is published on any located surface. The band is the no published number case; documented grounding is what separates it from C.

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

Autonomy and Oversight Model

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

The vendor positions the product as assistance with the attorney retaining oversight of drafting, which is a general assurance of human review rather than a stated boundary. No named plan or mode carries a limit on what its output may be used for, and no review checkpoint is described in the product flow. A general assurance is the B shape.

Source: Vendor Published
BB on Operational and Outcome EvidenceReal deployment evidence with substance, short of full attribution or measurement: a named customer without figures, or figures without the named customer.

Operational and Outcome Evidence

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

Three figures are published: 22.1 percent of time gained back per attorney on average, 91 percent of attorneys who used the product saved time, and 75 percent reporting more satisfaction at work. All three are attributed to attorneys who used Legau, with no sample size, measurement period or method published. Five law firm customers are displayed by logo, including PLMJ and Morais Leitao. Named customers are customer evidence rather than outcome evidence, and a figure with no method behind it holds the row at B.

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

Privilege and Confidentiality Posture

How client confidences are handled: attorney client privilege and work product treatment, segregation of one client matter from another, whether client data trains any model, and what the vendor commits to in writing rather than in marketing.

The security page documents real architecture. Each customer has its own storage container, external access is restricted to Legau's compute infrastructure, access keys are rotated, and access runs on a need to know basis. The data page states that data is never sold or used beyond providing the service, and marketing surfaces state that client documents are never used to train any AI. Neither attorney client privilege nor work product appears anywhere on the located estate, and no matter level segregation is described.

This is confidentiality architecture without the two terms of art that attach a professional duty to it, which holds the row at B.

Source: Vendor Published
DD on UPL and Professional Responsibility PostureNothing published on the advice line for a product that produces legal work, including where it is sold to people who are not lawyers.

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.

Checked 15 September 2026: homepage, the five product pages, both solutions pages, the AI legal assistant page, security, data, pricing, try, and all four documents linked in the footer, being the privacy policy, terms of use, cookies policy and data processing agreement. No statement that the product supplies a tool rather than legal advice, no reference to ABA Formal Opinion 512 or to any bar or ethics guidance, and no jurisdiction limitation located.

The published terms of use disclaim accuracy of website content, which is a website disclaimer and not a professional responsibility posture. The audience is attorneys and legal departments throughout, which is recorded here as the mitigating fact rather than credited as a posture.

Source: Operator Verified
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 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.

Checked 15 September 2026 across the marketing estate, both trust pages and the four footer legal documents. No governance owner, no pre release testing description, no evaluation practice and no statement on output variation across document types, jurisdictions or parties. Nothing located either way.

Source: Operator Verified
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.

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.

Substantive for the band. Encryption in transit at TLS 1.2 or above with forward secrecy and at rest, per customer storage containers, rotating access keys, zero trust firewall, SSO, injection and cross site prevention, plus published deletion and data portability on request. The gaps that hold it below A are a subprocessor list, an incident response practice and any retention statement covering customer documents, none of which is located.

The architecture detail is credited here rather than on Security Certifications, where the question is independent attestation.

Source: Vendor Published
DD on AI Liability and RecourseNothing published on who bears the loss when the system is wrong.

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.

Checked 15 September 2026. The only published agreement is a website terms of use, which excludes liability to the fullest extent permissible for use of the website and says nothing about product output. The pricing page names the governing agreement for each tier as Legau Standard for the two lower tiers and Custom for enterprise, and no document under either name is published anywhere on the estate. So no indemnity, no cap, no carve out and no insurance position is reachable, and the agreement that would carry them is named but not published.

Source: Operator Verified
AA on Practice Systems Integration DepthDocumented, verifiable integrations into the systems legal work already lives in, with the depth described: what syncs, in which direction, and what a firm must configure.

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.

Among the strongest in the lane. The product is a Word and Outlook add in rather than a separate application, so drafting, research, planning, review and translation all run in the client's existing environment, and every function has a stated Outlook variant. Document management support covers SharePoint, OneDrive, iManage, NetDocuments, Google Drive and Dropbox, and the pricing table states which systems each tier reaches, with SharePoint and OneDrive at Starter and the full set from Business upward.

A DMS Advanced Layer Sync is published with volume limits of 5,000 and 10,000 documents. Publishing integration depth by tier rather than as a logo wall is what earns the A.

Source: Vendor Published
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.

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.

Two deployment shapes are published with named regions. The hosted product runs on Microsoft Azure in East US or the EU, and the data page states that data is stored in the United States or Europe depending on the client's jurisdiction, so region follows the buyer rather than being an enterprise negotiation. The Advanced AI Layer add on runs inside the firm's own infrastructure with the firm owning the model. Published option plus named region plus a customer infrastructure path is the A shape.

Source: Vendor Published
DD on Security Certifications and Trust CenterNo independent security attestation located.

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.

Checked 15 September 2026. The security page is substantive and describes architecture at length, but it names no certification at all: no SOC 2, no ISO 27001, no penetration test summary, no trust portal and no audit of any kind, claimed or attested. There is also no self serve request route, so the three tier treatment does not reach even its middle tier. This axis measures independent attestation a buyer can pull, and none exists.

The architecture the page does publish is credited on AI Safety and Data Stewardship so that it is not lost. Worth noting for context that the vendor is deployed at two of the largest firms in Portugal, which means procurement has asked these questions and the answers are simply not public.

Source: Operator Verified
DD on Model Supply Chain DisclosureNothing published about the model supply chain a customer inherits.

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.

Checked 15 September 2026 across the marketing estate, the security and data pages and the data processing agreement. No model is named, no model provider is named, and no subprocessor list is published. Legau.AI and Advanced AI Layer are product brand names rather than disclosure. The data processing agreement defines a sub subcontractor category and governs their appointment but publishes no list of who they are. A legal buyer cannot learn from any public surface whose model reads its drafts.

Source: Operator Verified
AA on Commercial TransparencyA buyer can learn what this costs without entering a sales process: published rates, the unit being charged, and what implementation adds.

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.

Three tiers carry published monthly rates of 79, 99 and 139 US dollars, with a full feature comparison matrix across research, creation, review, planning, translation and support. The unit of charge is published rather than implied: AI Assistant credits at 10, 50 and unlimited requests per user per month, documents segmented at 300 and 600, and DMS sync at 5,000 and 10,000 documents. SSO type, interface languages, support channel, onboarding format and reporting cadence are all stated by tier.

Two add ons, the Advanced Layer and electronic signature, are request only and that is stated plainly. The one qualifier recorded rather than penalised is that every tier reads From, and the page says pricing is tailored to setup complexity, adoption and organisation size, so the published figure is a floor.

Source: Vendor Published
BB on Firm and Practice CoverageSegment and practice coverage is described with substance, short of the boundaries: what is supported is clear, what is not is left open.

Firm and Practice Coverage

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

Practice coverage is enumerated rather than claimed: twelve areas across a transactional page covering corporate and M&A, commercial, banking and finance, real estate, capital markets and securities and intellectual property, and a non transactional page covering litigation, tax, regulatory and compliance, labour and employment, antitrust and competition, and government and public. The buyer is stated as a law firm or legal department.

What holds the row below A is firm size: no band is stated anywhere, and the three pricing tiers are the only proxy for whether this is sold to solos, midlaw or the large firms whose logos appear on the homepage.

Source: Vendor Published
Sources on file

5 public documents

The public pages on file for Legau, 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?

Never, in policy only

A public policy or trust page states no training on customer content, with no matching term located in the published agreement.

Vendor surfaces state plainly that customer documents, templates and client data are not used to train any AI, and the AI legal assistant page repeats the commitment for the Advanced AI Layer, adding that the firm owns its own model. No matching term is located in the published data processing agreement, which governs personal data processing and does not address training in either direction. The commitment names the thing, so this is not silence, but it lives in policy rather than in an agreement a client could hold the firm to.

Source: Vendor Publishednever shared or used to train any AIAs of Sep 15, 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.

The data processing agreement bounds storage of personal data to the life of the contract. That clause does not reach prompts and drafts, because the vendor defines its personal data footprint narrowly as the name, title and email of users, while uploaded documents are handled separately as Customer Assets on the security page. No located material states how long prompts, outputs or uploaded documents persist, or whether a customer can set that period to zero.

Source: Vendor Publishedonly for the duration of the ContractAs of Sep 15, 2026Evidence

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.

Per customer storage containers separate one firm from another, which is tenancy rather than an ethical wall. Nothing located addresses walls or matter level segregation inside a firm, and no material states whether retrieval inherits document management system permissions at query time. The question is live for this product specifically, because it indexes the firm's own document management system and answers out of it.

Source: Vendor PublishedEach customer has their own containerAs of Sep 15, 2026Evidence

Third Party Request and Subpoena Notice

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

Disclosure addressed, notice absent

Published terms or policy address disclosure to authorities or in response to legal process, and no commitment or reservation regarding customer notice is located anywhere. The vendor has told the customer that data can leave and has said nothing about whether the customer hears of it.

The privacy policy states that personal data may be disclosed to third parties to comply with applicable law or legal process, and gives responding to a subpoena as its worked example. No commitment to notify the customer is located, and no discretion over notice is reserved either way. The vendor has told the customer that data can leave and has said nothing about whether the firm hears of it. No transparency report is published.

Source: Vendor Publishedwhen responding to a subpoena or similar legal processAs of Sep 15, 2026Evidence
Accuracy and Authority

Primary Law Corpus Provenance

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

Not addressed

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

The product is described as drawing on a court decisions database, an enriched court decisions layer and a legal papers engine, plus knowledge banks of court decisions and doctrine. No jurisdiction, court, publisher or licence basis is identified for any of it, and no update cadence is stated. The only rights related phrase located is a carve out on the pricing page describing the legal papers engine as excluding publishers. Checked 15 September 2026 across the marketing estate and the four footer legal documents.

Source: Operator VerifiedAs of Sep 15, 2026

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.

The enriched court decisions layer surfaces similar decisions, mentions and related legal papers, which is a citation network rather than a treatment signal. No located material states whether authority the product returns is checked for subsequent history, and no citator is named. Checked 15 September 2026 across the marketing estate and the footer legal documents.

Source: Operator VerifiedAs of Sep 15, 2026

Refusal and Uncertainty Behaviour

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.

No located material describes what the product does when it cannot ground an answer. No abstention path is documented, no confidence or grounding score is exposed in published material, and no evaluation is published. Checked 15 September 2026 across the marketing estate and the footer legal documents.

Source: Operator VerifiedAs of Sep 15, 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 addressing fabricated or hallucinated legal citations in output from this product was located as of 15 September 2026. The tracker searched was the AI Hallucination Cases database maintained by Damien Charlotin, alongside a general search of the public record. This is a statement about the public record on that one subject as of that date. It is not a finding about the product, and this signal is not a litigation history.

Source: Bar Guidance or Court RecordAs of Sep 15, 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.

No located public material engages with bar or ethics guidance. ABA Formal Opinion 512 is not referenced, no state or national bar opinion is named, and no risk committee facing material is published. Checked 15 September 2026 across the marketing estate, both trust pages and the four footer legal documents.

Source: Operator VerifiedAs of Sep 15, 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.

The vendor markets time savings to the buyer, publishing 22.1 percent of time gained back per attorney and 91 percent of attorneys saving time, and the product sits inside a fee relationship between a law firm and its clients where compressed hours change the invoice. No located material addresses billing treatment, fee disclosure, or what a firm should tell a client about AI assisted work. The savings claim is published and the client side of it is not.

Source: Vendor PublishedAs of Sep 15, 2026

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.

No subprocessor list, no model provider list and no client facing disclosure material located. The data processing agreement defines a sub subcontractor category and governs how they are appointed, but publishes no list of who they are, so a firm facing an AI clause in a client's outside counsel guidelines has nothing here it can forward. Checked 15 September 2026.

Source: Operator VerifiedAs of Sep 15, 2026

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.

No located material addresses court disclosure obligations, judicial standing orders or verification certification, and no export covering model used, sources retrieved and human verification is described. Checked 15 September 2026 across the marketing estate and the footer legal documents.

Source: Operator VerifiedAs of Sep 15, 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 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
September 15, 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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