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Mary Technology
Mary builds the factual record for a litigation matter and keeps it reviewable. A team hands over the case files as they are, including scans, old formats and material from connected document systems. Mary reads every page and extracts individual facts rather than storing documents as embeddings, tagging each with people, dates and events and linking it to its source page. The result is a single record the whole team works from to build timelines, issue analysis and financial analysis.
Coverage is explicit, so a user can see what was processed, what informed an entry, what was reviewed but unused and what has not been processed. Contradictions are kept side by side rather than resolved, and every entry carries a status of supported, contradicted or unconfirmed that a user can check against the source in a click. Proposed updates stay pending until a person approves them. It is built for commercial litigation, family law, personal injury and in house disputes and investigations, with customer data isolated by matter and never used to train models.
The product is operated through Mary Legal USA, Inc. in San Francisco, with the platform terms carried by the Australian company DEA Technology Pty Ltd.
Mary Technology, 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.
Alternatives to Mary Technology
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Similar is not the same, so check that each one does the job you need. No vendor pays for placement.
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Ordered by how closely the graded profiles match across the 15 capability axes, inside the same categories. See how each axis is graded in the methodology.
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.
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.
Remove the models and nothing remains to sell. The product is a reading and extraction engine. It takes case files as they arrive, including poor scans and old formats, reads every page, and extracts each fact rather than storing documents as embeddings. Each fact is tagged with people, dates and events, linked to its source page and given a status of supported, contradicted or unconfirmed. The engine also surfaces contradictions, unexplained periods and material referenced elsewhere but missing from the production.
There is no document management system, review platform or matter management layer underneath that would be licensed alone. Documents are uploaded or pulled from systems the firm already has, and Mary adds the structured factual record and everything built from it. The vendor's own architectural claim contrasts extraction of each fact, with a traceable link to source, with approaches based on compression.
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.
The verification design is documented in detail, and none of it is measured. Grounding works fact by fact rather than answer by answer. Every extracted fact traces to its source page, plain language questions return answers with one click citations to the exact facts and pages, and the original source can be opened against any entry. Each entry also carries a published status of supported, contradicted or unconfirmed, and competing accounts are kept separate rather than merged into one answer, with contradictions and unexplained periods left visible.
Coverage is reported too: what was processed, what informed an entry, what was reviewed but unused and what remains unprocessed. That combination addresses hallucination by design. No accuracy figure, evaluation, test set or error rate is published. The nearest item is a preference study in which eight of nine litigators preferred Mary's output in a matter review at an unnamed global firm, undated and with no method, which measures preference rather than accuracy.
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 control structure is published in full, and there is no autonomous mode. Proposed updates stay pending until a person approves them, stated as a product mechanism rather than a promise. The published workflow makes human review its own numbered stage: the team inspects sources, reviews contradictions and gaps, sets status and approves changes before anything becomes work product. What the system does alone is stated: reading every page and structuring people, dates, events and facts.
Its limit is stated plainly. Mary does not decide the case; it shows the record, including what is missing and what does not add up, so the lawyer can, and legal judgment stays with the lawyer. The review surfaces are the product's core, since every entry can be opened against its source and its status set by hand. Clause 11(d) of the agreement requires all outputs to be reviewed and approved by a qualified legal professional before any action is taken.
Nothing describes what happens when an entry is wrong, or how a firm would detect a document set that has been misread throughout.
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.
Aggregate scale claims and unattributed quotations stand in for a named deployment. The published figures are counts rather than outcomes: more than four thousand lawyers and more than one hundred and fifty firms, neither dated nor tied to any organization. One comparative claim comes closer: eight of nine litigators preferred Mary's output in a matter review at a global law firm. The firm is unnamed, and there is no date, matter description or method for assessing preference.
Testimonials on the self serve site carry no name, role or firm, including one saying work that took half a day to a full day now takes under fifteen minutes. No customer is named, and no dated deployment or measured outcome is published. A customer stories page sits in the navigation. Trade press names Australian firms as customers, but that is third party material.
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.
Separation is published at the level this buyer needs, and privilege is not addressed. The security commitment is specific and stated on the product page. Customer data is isolated by matter, with separate access and data boundaries for each, encrypted in transit and at rest, with access following the firm's own permissions and single sign on. Documents, matter content, prompts and outputs are never used to train AI models.
Isolation by matter is what a litigation practice with screened matters needs. Clause 19 of the terms carries part of this contractually, describing tenanted AI services under which confidential client information is not accessible for model training or to unauthorized personnel. Three gaps remain. No privilege or work product treatment appears, on a product built to hold the factual record of contested matters. No model provider is named, so nothing addresses what any third party retains. And the isolation claim has no supporting documentation, since the security page defers detail to a trust center.
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.
A real published position, stated in the agreement and repeated across the site. Clause 11(d) says the software helps with legal tasks but is no substitute for professional legal advice, analysis or judgment. All outputs and recommendations must be reviewed and approved by a qualified legal professional before any action is taken or decision made, and the vendor disclaims liability for actions taken without legal review.
It also declines to guarantee the accuracy, completeness or suitability of output for any purpose. Every page carries the same idea: lawyers remain responsible, and legal AI should make its work easy to check before they sign. The product material repeats that Mary does not decide the case and that legal judgment stays with the lawyer. That is a coherent account of where the product stops. The professional layer is absent: no bar association, rule of professional conduct or ethics opinion is named, no jurisdiction is identified, and nothing addresses a firm's supervision or competence duties.
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 is published. There is no responsible AI page, principles statement, accountable owner for model behavior, evaluation regime before release, management system or certification such as ISO 42001, and nothing addresses uneven output. The vendor publishes an editorial position on verification: that verification in legal AI is a design problem, and that legal work should be easy to check before a lawyer signs.
That position is held across the product, but it is a design philosophy rather than a governance framework, and it names no reviewer, criteria or results. A system that assigns each fact a status of supported, contradicted or unconfirmed makes a judgment on every entry. Nothing published says how that classifier was evaluated or how it behaves across document types, jurisdictions or the poor scans the product advertises handling.
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.
Access and testing are addressed; retention, deletion and suppliers are not. Published: client data encrypted throughout its lifecycle, annual penetration tests and continuous vulnerability assessments, background checks and access reviews for staff, mobile device management, a cybersecurity training program, data boundaries at matter level, and access governed by the firm's own permissions with single sign on. Most of the rest is missing.
No retention period is stated for documents, extracted facts, prompts or outputs, only that data is kept as long as necessary and securely purged in line with best practices. No deletion or return of data commitment for customer material is published. No subprocessor list exists; the only third parties named are Stripe for payments and Meta among advertising networks, neither of which touches matter content. Clause 5 of the terms says the privacy policy covers the vendor's obligations on security breaches, but the privacy policy, last updated 22 August 2026, has no breach notification provision.
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.
The allocation of loss is published, readable before signing, and leaves almost nothing behind it. Clause 12(a) limits total liability, however arising and under any theory, to resupplying the services, a remedy of performing again with no monetary ceiling behind it rather than a capped one. Clause 12(b) excludes direct, indirect, incidental, special, consequential and exemplary damages alike. Clause 11(c) provides everything as is and as available without warranty of any kind, with a long list of losses disclaimed, including loss of data and unauthorized access to records.
Clause 14 runs the indemnity one way from the user, covering their content and any use of the service. There is no indemnity from the vendor, no warranty on output, no service level commitment and no insurance position. One real floor exists: clause 11(a) preserves the guarantees of the Australian Consumer Law that cannot be excluded, a real statutory backstop for an Australian buyer that does not reach a US litigation customer at all.
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.
Integration is described by category throughout and no counterparty is named anywhere. The product material states that a team can upload or connect the documents it already has, shows a document system and a supported AI tool feeding the same factual record, and offers to let approved AI tools and drafting workflows build from that record. The privacy policy confirms the mechanism, recording that data is collected from third party applications connected to the platform, such as document management systems, when authorized by the user, and shared back with those integration partners.
That is a real and reciprocal connection, and it is described only as a class. No document management system, review platform, matter management system or ediscovery tool is named, no API or developer documentation is published, and nothing states what data moves, in which direction or on what trigger. For a product whose value proposition is being the single factual record several tools build from, the absence of a named counterparty is the most visible gap.
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.
The isolation model is stated precisely, and the region is not stated at all. Customer data is described as isolated by matter, with separate access and data boundaries for each, and clause 19 of the terms says the platform runs on tenanted AI services under which confidential client information is not accessible to unauthorized personnel. Boundaries at matter level are finer than separation by tenant and imply separation between customers.
No region is named for storage or processing, no cloud provider is identified, and no residency commitment appears in the terms, the privacy policy or the security page. That is a live question for a product run through Australian and United States entities, with an application host on a country specific subdomain and a trust center on an Australian one. No on premises or self hosted option is mentioned.
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.
A real trust portal and a claim of recognized controls, with no standard named in text. The security page says the program is built around internationally recognized controls and independently tested safeguards, and links to a trust center on a third party compliance platform. No standard or assessor is named in the page text: no SOC 2 of either type, ISO certification, examination period, scope statement, certificate or report summary appears.
Annual penetration testing is asserted without naming the testing firm or publishing results. Nothing published says whether the trust center releases documents on an email address or requires a sales conversation.
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 describes its AI architecture and identifies nothing underneath it. The terms speak of a platform powered by industry leading AI processes and of tenanted AI services, and the product material contrasts extraction of each fact, linked to source, with systems that store documents as embeddings in vector databases. No model, version, provider or hosting arrangement is named, and no commitment to notify customers of changes is published.
The only third parties named are Stripe as payment processor and Meta among advertising networks, neither of which processes matter content. The question matters here because the material is the whole factual record of contested litigation, including privileged work product. The tenanted AI services claim in clause 19 cannot be traced to a named provider.
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 information is published at any level, including the unit of charge. The navigation carries only security, resources and company, and every route on the site is a demo request. The terms describe payment without a charging model. Clause 7 requires a subscription and a fee for a subscription period, clause 8 lets the vendor vary the fee at any time with effect from the end of the current subscription, and clause 9 offers refunds only under the Australian Consumer Law or at the manager's absolute discretion.
Nothing says whether the subscription is charged per user, matter, document or firm, and no rate, band, tier, term length or implementation cost appears. A self serve entry point is advertised as free to start, with nothing published about what it includes or what the paid tier costs.
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.
Four practice areas are described with substance, and the boundary is left open. Commercial litigation is framed as rebuilding the sequence across contracts, emails, board materials, witness accounts and the production. Family law is framed as tracing finances, communications and parenting events across disclosures, bank statements, messages and filings. Personal injury is framed as rebuilding treatment, symptoms, diagnoses, work capacity and prior history across the medical file.
In house disputes and investigations are framed as keeping one reviewable record across investigations, business teams, outside counsel and changing tools. Each names the material that practice generates. Partners, associates and litigation support are named as working from the same record. No jurisdiction is stated, no firm size band is given, nothing says which matter types or document sets the product handles poorly, and supported languages are not addressed.
5 public documents
The public pages on file for Mary Technology, 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.
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marytechnology.com/us3 signals
Ethical Walls and Matter Segregation, Refusal and Uncertainty Behavior, Court Disclosure Support
Read Sep 5, 2026
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Client Data in Training, Bar Guidance Alignment
Read Sep 5, 2026
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Fabricated Citation Record
Read Sep 5, 2026
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Prompt and Output Retention
Read Sep 5, 2026
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Third Party Request and Subpoena Notice
Read Sep 5, 2026
Legal Signals
What each signal meansA 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.
Client Data in Training
Can material a lawyer puts into this product be used to train a model?
The published terms prohibit training on customer content. Not a policy page, the agreement.
The commitment sits in the published terms and is unqualified in its main limb. Clause 19(a) says the platform runs on tenanted AI services, so confidential client information, including personal data, is not accessible for model training or to unauthorized personnel. Clause 19(b) adds that the platform processes and analyzes data only to generate its output and makes no external use of client data for model training.
No consent exception, opt out or setting appears. The product pages say the same without qualification: documents, matter content, prompts and outputs are never used to train AI models, and the security page opens with that line. One qualifier: 19(b) refers to no external use, while 19(a) is unqualified, so the two limbs are drawn differently. Separately, the privacy policy says publicly available information such as judgments or public filings may be used to develop and train the platform; that concerns public material, not customer content.
Prompt and Output Retention
How long does the product keep what a lawyer typed, and can that be set to zero?
Retention is acknowledged in public materials with no stated period.
Retention is acknowledged, and no period is stated. Under a data lifecycle heading, the security page says only that data is kept as long as necessary and securely purged in line with best practices and legal requirements, with no duration, trigger or setting. The privacy policy uses the same wording for the personal information it covers, and expressly excludes input to the platform, output generated by it and documents uploaded to it, referring instead to the terms.
The terms contain no retention provision, so the chain leads nowhere specific. No deletion or return of data commitment for matter content is published, and no export route on termination is described.
Ethical Walls and Matter Segregation
Does retrieval respect the firm’s ethical walls, or can the model read across them?
Segregation is asserted in public materials with no published detail on how it is enforced.
Separation by matter is claimed in specific terms, and no mechanism is published. The product page says customer data is isolated by matter, with its own heading for matter isolation and separate access and data boundaries for each matter, and that access follows the firm's own permissions with single sign on. That is the level a litigation practice needs, since a screened matter requires a wall inside the firm, not only between firms.
Clause 19(a) of the terms supports it indirectly, describing tenanted AI services under which confidential client information is not accessible to unauthorized personnel. Nothing describes how the boundary is enforced. No tenancy architecture, permission or role model is documented, nothing says whether isolation is logical or physical, and no administrator documentation or security whitepaper is published. The security page defers detail to a trust center.
Third Party Request and Subpoena Notice
If someone subpoenas the vendor for a firm’s data, does the firm hear about it first?
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.
Disclosure to authorities is addressed and customer notice is addressed nowhere. The privacy policy lists law enforcement and government authorities among the recipients it shares information with, in response to a legal process or a legal obligation, and separately lists complying with a legal process among its processing purposes. No commitment to notify, no reservation of discretion over notifying and no transparency report appears anywhere on the estate, and the terms contain no confidentiality or compelled disclosure provision at all, which is where this evidence normally sits.
One scope limit is material: the privacy policy states in its own opening that it does not apply to input, output or documents uploaded to the platform, so the provision that addresses law enforcement reaches account and website information and not the factual record of a client's matter. Nothing published addresses what happens when that record is subpoenaed.
Primary Law Corpus Provenance
Where does the law in this product come from, and does the vendor have the right to use it?
No located public material identifies the corpus behind the product’s answers.
No corpus stands behind the product's output. The platform reads the customer's own matter file, and its outputs are facts, timelines and analysis traceable to those documents, so there is no case law database, statutory source or licensed reference set behind an answer. Separately, the privacy policy says publicly available information may be used to develop and train the platform, giving judgments and public filings as examples.
That names a category of training material but goes no further: no source, publisher, database or jurisdiction is identified, no licensing position is stated, and nothing describes how the material was obtained or whether any rights attach to it.
Good Law Verification
Does the product tell you when the authority it just cited has been overruled?
No located public material addresses whether authority is checked for subsequent history.
Nothing addresses checking authority for subsequent history, and the product neither retrieves nor cites primary law to a user. Its citations point to pages of the customer's own documents, and its outputs are extracted facts, chronologies, issue analysis and financial analysis. The privacy policy's statement that judgments and public filings may be used to develop and train the platform concerns training material, not authority shown to a user. No currency, subsequent history or good law check is described.
Refusal and Uncertainty Behavior
What does the product do when the answer is not in the corpus?
The vendor describes refusal or abstention behavior in public materials.
Uncertainty is a published property of every output rather than a internal state. Each entry in the factual record carries a status of supported, contradicted or unconfirmed. The vendor says this is never hidden, that competing accounts are not merged into one answer, and that gaps and unresolved material stay explicit in the record. Coverage reporting does the same for the document set, showing what remains unprocessed and keeping visible material referenced elsewhere but missing from the production.
When evidence is insufficient or conflicting, the system marks the state and shows it rather than producing a confident answer. The mechanism is not published: nothing says how a status is assigned, what evidence moves an entry from unconfirmed to supported, whether a confidence score sits beneath the three labels, or how the classifier handles the poor scans and handwritten material the product advertises handling.
Fabricated Citation Record
Does a public court record exist addressing fabricated or hallucinated legal citations in output from this product?
No court order, opinion or disciplinary record addressing fabricated or hallucinated legal citations produced by this product has been located as of the date shown. This is a statement about the public record on that one subject, not a finding about the product, and this signal is not a litigation history.
The AI Hallucination Cases database maintained by Damien Charlotin records no court order, opinion or disciplinary record naming the product Mary or Mary Technology, or the companies Mary Legal USA and DEA Technology.
Bar Guidance Alignment
Has the vendor engaged in public with the ethics opinions its buyers are bound by?
Public materials refer to professional responsibility in general terms without naming guidance.
Professional responsibility is engaged in general terms, and no authority is named. Clause 11(d) of the terms requires all outputs and recommendations to be reviewed and approved by a qualified legal professional before any action is taken. It says the software is no substitute for professional legal advice, analysis or judgment, and disclaims liability for actions taken without legal review. The site repeats on every page that lawyers remain responsible and that legal AI should make its work easy to check before they sign.
Defining the reviewer by professional qualification, and building an approval step into the product to match, is real engagement with the duty. No bar association, rule of professional conduct, ethics opinion or regulator guidance is named. No jurisdiction is identified, although the business spans Australian and United States entities, and nothing maps supervision or competence obligations.
Billing and Fee Posture
Does the vendor address what happens to the bill when the work takes an hour instead of six?
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.
Time claims are published, and nothing addresses the billing consequence. The site offers less repeated fact work and fewer competing versions of events, and an unattributed customer says work that took half a day to a full day now takes under fifteen minutes. That is a claim about compressing exactly the work a litigation practice bills for. Nothing follows from it. No per matter record of work done with AI is described, no guidance on fees or disclosure is published, and nothing addresses what a client is told when the factual record behind their matter was built by machine.
The product does record coverage, sources, status and review history for each entry, so the raw material for a billing or disclosure record exists, but it is offered for case preparation rather than for that purpose.
Outside Counsel Guideline Readiness
Can a firm get this vendor through a client’s AI clause without a bespoke negotiation?
No located public material supports a client side disclosure obligation.
Nothing published would let a firm answer a client's AI clause. No subprocessor register is published, no model, model provider, cloud or hosting provider is named, and no data processing addendum or client notification pack exists or is offered on request. The only third parties named are Stripe as payment processor and Meta among advertising networks, neither of which touches matter content. The privacy policy lists other recipients only by category: professional advisers, data analytics providers, cloud storage providers and security providers.
A trust center sits on a third party compliance platform. What a firm could forward today is the security page's commitment on training and matter isolation, which is useful but does not say who processes the client's material.
Court Disclosure Support
If a judge’s standing order requires an AI disclosure, can the product produce one?
Some elements of the record are available, short of a document level export.
Much of a record exists as part of the product, and none of it is presented for disclosure. Coverage reporting shows what was processed, what informed an entry or output, what was reviewed but unused and what remains unprocessed. Every entry links to its source page and carries a status of supported, contradicted or unconfirmed. Sources, status, coverage and review history are kept consistent across the record, and proposed updates stay pending until a person approves them, so human review is captured rather than merely required.
What is missing is the model and the export. No model or version is recorded against any entry, nothing marks which text the machine produced once it reaches work product, and no export is described for producing any of it to a court, a client or an opponent. No disclosure template or guidance is published.