Marveri vs Kira for M&A due diligence
Kira, now part of Litera, extracts and analyzes contract clauses at scale. Marveri takes the same data room and delivers the full work product your deal team needs.
Kira, now part of Litera, extracts and analyzes contract clauses at scale. Marveri takes the same data room and delivers the full work product your deal team needs.
You are reviewing tens of thousands of commercial contracts for simple provisions.
You want cap table tie-outs, diligence memos, fully drafted disclosure schedules and more end work product, all cited and exportable to Word.
Kira extracts and classifies clauses across large contract sets. Marveri does that extraction and then drafts the deliverables the deal needs: request-list responses, the diligence report, the disclosure schedules, and more, with every claim cited to its source document.
| Capability | ![]() Marveri | Kira (Litera) |
|---|---|---|
| What it is | Legal AI that analyzes the entire data room and transaction agreement to create ready-to-review work product | Contract intelligence: clause extraction and analysis, part of Litera |
| Built for | Boutique and mid-market deal teams | Deals with tens of thousands of similar commercial contracts |
| Core motion | Purchase agreement and data room in; cited reports, schedules, and tie-outs out | Documents in; extracted clauses, summaries, and review workflows out |
| Clause extraction | Reads every document in the data room and surfaces any clause type across the set | 1,400+ pre-built smart fields, plus fields you train yourself |
| Custom clause models | Tuned for M&A diligence out of the box; nothing to train | Train your own provision models on your own documents, without code |
| Cross-document questions | Ask any question about the target and get a cited report back | Grid Chat answers a question across a deal and cites the source clause |
| Document comparison | Compare 2 documents or 20 at once | Handled by Lito, a separate Litera product included with a Kira subscription |
| Languages | Support for 100+ languages | Fields can be created in any language by prompt; no language list published |
| Deployment | Cloud | Cloud, or customer-hosted on-premises |
| Security | SOC 2 Type II and GDPR compliant; client data never used for model training | See Litera's site for its current security program |
| Disclosure schedules | Fully cited first draft, keyed to the reps in your agreement | NA |
| Diligence request list | Responds to every item on the list, each answer cited to the underlying documents | NA |
| Missing document detection | Names the board approvals, amendments and signatures that should exist and do not | NA |
| Duplicates and unsigned files | Duplicate files and unsigned documents are flagged automatically | NA |
| Cap table tie-outs | Verifies every grant against its board consent and flags missing 83(b) elections | NA |
| Data room organization | Renames and re-sorts every file to your naming convention, or to a diligence request list | NA |
| Diligence report | Full cited report across governance, capitalization, contracts, IP and employment | NA |
NA means Litera does not describe the capability on its public pages. Kira details verified August 30, 2026. We build Marveri, so check the sources; tell us if anything is out of date. Source: litera.com/capabilities/review
Marveri is a superpower for experienced attorneys. What used to require a handful of associates sifting through piles of documents over days and weeks can now be done with a single, well-trained lawyer managing the prompts and vetting the outputs.

Marveri has genuinely changed the cadence of our engagements. When I can walk a client through key contractual risks and governance gaps in our first substantive conversation instead of our third, it resets the entire relationship.


Rename and organize every document based on your firm's convention or any diligence request list.
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Marveri reviews every request and searches the entire data room, populating documents and responding to every question.
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Marveri names the board approvals, amendments and signatures that should exist and do not.
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Entity status, charter provisions and capitalization, each written from the underlying documents with a citation to every source.
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Ask a question about the target and get a structured answer with a citation behind every fact.
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Compare executed agreements against your template or against each other, and see every deviation in one place.
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For many deals, yes. Like Kira, Marveri can extract clauses across the whole data room. However, Marveri also goes further to rename and organize the entire data room, flag missing documentation, draft disclosure schedules, create a full narrative diligence report, answers to the entire diligence request list, and more. If your primary goal is only to review tens of thousands of commercial contracts for simple clauses like assignments and governing law, Kira may be a better choice.
Yes. Marveri reads every document in the data room and surfaces any clause type across all of them. Marveri delivers the next steps after bulk extraction.
Every statement in a Marveri output links to the document it came from. An attorney opens the source beside the draft and checks it before anything leaves the platform.
It depends on deal size, contract volume, and automation preferences. At tens of thousands of commercial contracts, an extraction platform like Kira may be beneficial. For lower-middle market deals, Marveri delivers what Kira can as well as a number of other dedicated legal M&A workflows.
No. Kira extracts and analyzes clauses, and Litera's generalized drafting tool is in its separate Lito and Transact products. Marveri drafts full disclosure schedules directly from the representations in the purchase agreement and cites every disclosure to the exact rep and data room document.
Customer Stories
From boutique startup counsel to corporate M&A teams, attorneys nationwide are using Marveri to deliver faster, sharper work.

Founder, Darwin Legal
Giving startups the legal function they actually need.
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Managing Partner, Nexus Venture Counsel
Building the most efficient law firm in the world.
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Founder, Harvey Esquire APC
Delivering institutional-grade VC due diligence.
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Partner, Optimal Counsel LLP
Cutting client onboarding time by 70%.
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Managing Partner, Duncan Bergman Mandell
Bringing AI-driven diligence to corporate and M&A.
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Founding Attorney, Proviso
Bringing big-firm diligence to lean M&A practices.
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