Marveri

Est. 2023 HQ United States Employees 14 Funding $6.5M Updated 2026-02-10
Rank trajectory2024-02 → 2026-05 · 28 months
FELL -27From #378 (2024-02) to #405 today
#372#384#397#409#4212024-02: #3782024-03: #3782024-04: #3852024-05: #3872024-06: #3832024-07: #3852024-08: #3832024-09: #3852024-10: #3922024-11: #3902024-12: #3902025-01: #3882025-02: #3972025-03: #4062025-04: #4102025-05: #4152025-06: #4052025-07: #4002025-08: #4022025-09: #4082025-10: #4112025-11: #4072025-12: #4032026-01: #4022026-02: #4002026-03: #4062026-04: #4072026-05: #405 #405 now Q2 24Q3 24Q4 24Q1 25Q2 25Q3 25Q4 25Q1 26Q2 26May 26

How this is computed · one composite score, recomputed across all 28 months, ranked on a 3-month moving average

What it is

Marveri is an emerging legal AI product built for corporate and transactional lawyers rather than general-purpose chat use. Its pitch is narrow and concrete: ingest a data room or document set, automatically rename and organize files, surface missing materials, run an initial review for provisions such as assignability and expiration, and generate supplemental request lists early in a deal. The strongest independent coverage comes from Business Insider’s May 2025 funding story, which described Marveri as trying to cut months of manual diligence to minutes and reported adoption across dozens of firms from Big Law to smaller practices, though customer names were mostly withheld. Marveri’s website adds specificity the coverage lacks: it targets M&A lawyers, startup/venture lawyers, and corporate-development teams; emphasizes verifiable results instead of chat prompting; and positions itself as a way to create order in messy data rooms on day one. Security posture is a positive signal for an early-stage vendor: SOC 2 Type I and II, GDPR, encryption in transit and at rest, independent monitoring, and an explicit promise that client data is never used for training. Pricing is not public, integrations are not documented, and community/review-site proof is effectively absent. Best fit: transactional teams facing messy diligence rooms, short deal timelines, and repeated first-pass review work that still needs attorney judgment after AI triage.

Company Info

  • Founded: 2023
  • Team size: 1-10 employees
  • Funding: $6.5M
  • HQ: United States
  • Sector: Gen, AI

What We Haven’t Verified

This page was assembled from publicly available information. Feature claims and workflow mappings are based on what the vendor and third-party listings publish — not hands-on testing or practitioner feedback.

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Funding
  • 6.5MTotal funding reported by the TLTF directory · founded 2023 · as crawled 2026-02-09source ↗

Round-by-round data (dates, round names, investors) is not in our source crawl — only the total is shown.

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