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Marveri
Marveri is an AI due diligence platform for transactional legal work. It is sold to M&A and venture lawyers at law firms and to companies and deal teams on either side of a transaction. It takes a whole data room, organizes and renames the files to the user's conventions, and detects duplicates, missing signatures and gaps such as absent board approvals. It then produces the work product deal teams deliver: diligence memos, responses to request lists, disclosure schedules exported to Word, cap table reconciliations and clause tables for terms such as change of control.
There is no chat and no prompting, and every output links back to its source document with checks on exact quotes and calculations. The company was founded in 2023 by a former Morrison Foerster corporate associate and machine learning researchers from MIT, and is based in Cambridge, Massachusetts. It raised a 3.5 million dollar seed round led by Alven in May 2025. Marveri states SOC 2 Type I and Type II compliance, encryption in transit and at rest, and that customer data is never used for training. It publishes a privacy policy and no customer agreement, and pricing is by demo.
Marveri, 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 Marveri
Vendors in the same categories as Marveri whose graded profiles look most alike, with a line on what each product does.
Similar is not the same, so check that each one does the job you need. No vendor pays for placement.
- PPramataPramata is an AI contract intelligence platform for enterprise legal, procurement and finance teams that turns a whole contract portfolio into structured, validated business data.
- AAloiAloi is a decision intelligence product for law firms from Aloi AI AB in Stockholm, founded by former Roschier partner Johan Häger.
- CCentariCentari is a deal intelligence platform for transactional law firms and investment funds.
- IIvoIvo is an AI contract review platform for in house legal teams at large enterprises.
- SSyntractsSyntracts is a contract intelligence platform from Syntracts Inc. of Washington, DC, built to run inside a law firm's or legal department's own environment.
- WWorkday Contract Lifecycle ManagementWorkday Contract Lifecycle Management and Workday Contract Intelligence form an enterprise contract lifecycle platform, both powered by Evisort AI.
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.
The machine learning is what the buyer pays for. The product reads an entire data room and produces diligence memos, responses to request lists, disclosure schedules, cap table reconciliations and clause tables. Remove the models and what remains is a file organizer. The company was founded in 2023 around this capability and has no product line without AI.
Citation Accuracy and Hallucination Disclosure
Whether the vendor publishes measured accuracy on citations and assertions, grounds output to primary sources, and says plainly what its system does when it does not know. Legal has a documented public record of fabricated citations reaching filed briefs, so an untested claim of accuracy is not evidence.
Grounding is real and documented with links to source, but no accuracy figure can be tested. Every output is stated to link back to its source document. The law firms page lists verification of exact quotes, verified math calculations and references across documents, and exports to Word and Excel carry citations. The vendor positions the product on verifiable results rather than conversational answers. No accuracy figure, test set or evaluation is published, and no hallucination statement was found. Grounding to primary law does not apply to a tool that reads the customer's own documents.
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 modes are published and the review surface is the cited output, but the full control structure is not. The product runs structured analysis automatically without prompting, producing cited work product a lawyer verifies and delivers, with role based access control and tracking of document status. The vendor describes results as auditable and ready for review before a first call. Nothing published sets a threshold at which an output is treated as final without review, or a route back after a wrong finding beyond the reviewer checking the citation.
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.
Figures appear without a named customer. The law firms page states that client onboarding time was cut by seventy percent, with no attribution. User quotes reproduced by a third party directory praise the product without naming a firm. The seed round announcement states that a syndicate of early users invested. No named customer with a figure was found on the pages read.
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 addressed through general assurance with one specific commitment. The security page states that customer data is never used for training, along with encryption in transit and at rest and SOC 2 Type I and II. The law firms page lists role based access control. No customer agreement is published, so nothing binds the training statement. No retention or deletion commitment was found, the model providers behind the platform are not named, and nothing addresses privilege or work product for a tool that handles deal data rooms. The site's page list shows no terms of service.
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.
No advice line or supervision statement is published. The product is marketed to lawyers and deal teams as producing the cited work product they are responsible for delivering, which positions it as a tool for professionals, but no surface read states that outputs are not legal advice, who should use them, or how the product supports a supervising lawyer's duties; no terms of service exists on the site to carry such a statement and the privacy policy PDF was not opened.
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.
The security page offers assurance language without a governance framework, testing regime or accountable owner. It states that systems are continuously audited by trusted third parties for transparency and security, which is a security assurance. The product cites every output to its source, which is a control on hallucination rather than a governance disclosure. No responsible AI framework, ISO 42001 or equivalent, description of testing before release or statement about uneven output is published.
AI Safety and Data Stewardship
Retention, deletion, access control, and what happens to prompts and documents after they are processed. Whether the vendor states its subprocessors and its incident practice, or leaves the buyer to assume.
Some of the ground is covered. Role based access control and encryption in transit and at rest are stated. No retention period or deletion commitment, subprocessor list or practice for notifying incidents was found. The trust center link on the security page leads back to the security page itself. The privacy policy PDF on the application domain was not opened and may say more.
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.
No liability position is published. The site's page inventory, taken from the navigation and footer on 6 September 2026, carries Security, Contact, Solutions and a privacy policy PDF and no terms of service, customer agreement or trust center document; the security page describes controls and makes no warranty, indemnity, cap or insurance statement. This is an absence on the vendor's surfaces rather than a retrieval limit.
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 named without documentation an implementer could use. The law firms page lists Google Drive integration, SharePoint and OneDrive sync and local folder sync, along with Word and Excel export with citations. A third party profile states there is no API. Nothing read describes what syncs, in which direction or what a firm must configure, and no document or matter management system is named.
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 product runs as a hosted application, and neither tenancy nor region is stated. It runs at an application subdomain, and the security page states encryption and GDPR compliance. Nothing read names a hosting provider, region, residency option or tenancy model.
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 stated on the vendor's own page, without scope, date or a way to get the report. The security page states SOC 2 compliance, Type I and Type II, with a badge, along with GDPR compliance, encryption in transit and at rest, and continuous auditing by trusted third parties. The law firms page repeats that Marveri is SOC 2 Type II certified. No auditor, coverage period or report route is published, and the View Our Trust Center link leads back to the security page itself.
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.
No disclosure of what sits underneath was found on any page read. The vendor describes AI built by machine learning researchers and states that data is never used for training. It names no model, provider or inference location, and makes no commitment to notify customers of changes. The privacy policy PDF was not opened and may say more.
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. The site offers a demo and a login and carries no pricing page, unit of charge, plan or figure. A third party profile states there is no public pricing.
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.
The segment and coverage are described with substance, and the vendor states the boundary. Solutions pages address M&A lawyers, startup and venture lawyers, companies preparing for a deal and companies evaluating targets, naming private equity, investment banks and corporate development. Document coverage spans commercial agreements, IP, board minutes, financing documents and HR materials, with support for more than a hundred languages. The vendor states its focus is M&A and investment diligence only, which is a stated limit. No jurisdiction is named.
3 public documents
The public pages on file for Marveri, 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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marveri.com/solutions/law-firms4 signals
Ethical Walls and Matter Segregation, Refusal and Uncertainty Behavior, Billing and Fee Posture and 1 more
Read Sep 6, 2026
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Fabricated Citation Record
Read Sep 6, 2026
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marveri.com/security1 signal
Client Data in Training
Read Sep 6, 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?
A public policy or trust page states no training on customer content, with no matching term located in the published agreement.
Public material states that customer content is not used for training, and no agreement exists to carry a matching term: the security page states under the heading Zero Training that customer data is never used for training, and the site's page inventory taken on 6 September 2026 shows no terms of service or customer agreement, only a privacy policy PDF on the application domain, which was not opened. The statement is unqualified and unbound. Surfaces checked 6 September 2026.
Prompt and Output Retention
How long does the product keep what a lawyer typed, and can that be set to zero?
No located public material states how long prompts and outputs are retained.
Uploaded documents and generated work product are kept for no stated period. The security page addresses encryption and training only, and no customer agreement is published. The privacy policy PDF was not opened and may say more. A third party profile notes that the retention policy is not public. Security page, home page and footer checked 6 September 2026.
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.
Segregation is claimed without documentation. The law firms page lists role based access control among the platform's features, and the security page describes robust access controls in general terms. Nothing describes how one deal's data room is walled off from another within a firm or how the analysis respects those permissions. No document management system's access model is inherited. Surfaces checked 6 September 2026.
Third Party Request and Subpoena Notice
If someone subpoenas the vendor for a firm’s data, does the firm hear about it first?
No located term or policy addresses third party requests for customer data.
A customer whose data is demanded by a third party has no stated right to be told. No customer agreement is published on the site, and the security page is silent. The privacy policy PDF was not opened and may say more. Security page, home page and footer checked 6 September 2026.
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.
Data room documents, not a body of legal content, are what the product reads, so licensing does not come up. It analyzes the customer's own data room and cites its findings to those documents, citing no law. Home page and solutions pages checked 6 September 2026.
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.
Subsequent history is moot for diligence findings cited to documents. The product does not retrieve or cite primary law. Its output is diligence work product cited to the customer's own documents, and it has no citator function. Surfaces checked 6 September 2026.
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.
The product documents how it surfaces what it cannot find, rather than what it does when it cannot answer. The law firms page states that missing documents, signatures and approvals are flagged and a supplemental request list generated. It also states that figures which do not reconcile across sources are flagged. That is a documented path for gaps in the record. No confidence signal or abstention behavior for uncertain findings is described. Law firms page checked 6 September 2026.
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.
No court order, opinion or disciplinary record naming Marveri was found as of 6 September 2026. The AI Hallucination Cases database maintained by Damien Charlotin was searched on the name, along with a general search for court findings. Results returned sanctions involving general purpose chatbots and commentary, none of which names this product. This is a statement about the public record, not a finding about the product. Marveri is a diligence tool that cites the customer's own documents rather than case law.
Bar Guidance Alignment
Has the vendor engaged in public with the ethics opinions its buyers are bound by?
No located public material engages with bar or ethics guidance.
No located public material names an ethics opinion, bar rule or professional responsibility framework. The product is built by former transactional lawyers for lawyers, but no guidance from any bar or regulator on lawyers' use of AI is named on the surfaces read, and no terms of service exists to carry one. Home page, solutions pages and security page checked 6 September 2026.
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.
Law firms are a named buyer segment, and the published position on the bill is a savings claim: client onboarding time cut by seventy percent and diligence completed in days rather than weeks. Nothing addresses how diligence done with AI is recorded or disclosed on a client's bill. The vendor's own founder describes diligence as consuming over half of transaction legal budgets. Law firms page and coverage checked 6 September 2026.
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.
No subprocessor list, model provider list or AI disclosure material for clients was found. The security page states SOC 2 and assurances that data is not used for training without naming any processor. The trust center link leads back to the security page, and no customer agreement or DPA is published. The privacy policy PDF was not opened and may say more. Surfaces checked 6 September 2026.
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.
Some elements of a verification record are available, and no record of the model or the human check is described. Every output links to its source document, exports to Word and Excel carry citations, and verification of exact quotes and calculations is listed. That gives a reader a record of sources for each finding that they can check. Nothing states that the model used or the human verification step can be exported, and diligence work product is not filed with a court. Law firms page checked 6 September 2026.