Datasaur

Est. 2019 HQ United States Employees 68 Funding $9.2M Updated 2026-02-10
#276 / 1,674 rlegaltech 500 · overall
Rank trajectory2024-02 → 2026-06 · 29 months
FELL -44From #232 (2024-02) to #276 today
#201#224#247#269#2922024-02: #2322024-03: #2252024-04: #2252024-05: #2272024-06: #2372024-07: #2462024-08: #2352024-09: #2232024-10: #2152024-11: #2122024-12: #2222025-01: #2322025-02: #2472025-03: #2412025-04: #2262025-05: #2252025-06: #2142025-07: #2302025-08: #2392025-09: #2522025-10: #2552025-11: #2502025-12: #2642026-01: #2642026-02: #2672026-03: #2722026-04: #2812026-05: #2782026-06: #276 #276 now Q2 24Q3 24Q4 24Q1 25Q2 25Q3 25Q4 25Q1 26Q2 26Jun 26

How this is computed · one composite score, recomputed across all 29 months, ranked on a 3-month moving average

What it is Overview

Datasaur is best understood as legal-AI infrastructure, not broad front-line law-practice software. The company now markets two related products: a secure private-LLM/services layer for regulated enterprises and a Data Studio product for long-form text labeling, search, QA, and automation. The legal signal is real but narrower than the TLTF summary suggests. Datasaur maintains a dedicated legal vertical page that says its NLP labeling tools are built for LegalTech, claims teams can automate 80% of labeling and cut project times by 10X, and features named legal customers including Ontra and Ironclad. The strongest corroborated workflow evidence comes from case studies: Ontra says Datasaur reduced legal-document-annotation timelines by 66%, and Law Offices of Lawrence D. Rohlfing says Datasaur’s AI-assisted search cut targeted medical-record review time by 50%. Best fit: legal innovation teams, ALSPs, contract-ops groups, and document-heavy plaintiff/disability practices that need secure custom AI, legal-text labeling, or fast search/review over large private corpora.

Company Info

  • Founded: 2019
  • Team size: 11-50 employees
  • Funding: $9.2M
  • HQ: United States
  • Sector: Miscellaneous

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.

Integrations 8 platforms

Platforms Datasaur integrates with. Depth — where curated — reflects how native the connection is. Uncurated entries render without a depth dot.

  • Amazon Web Services (AWS)
  • Azure OpenAI
  • CyberArk
  • Model Context Protocol (MCP)
  • OpenAI
  • SAML
  • SCIM
  • Webhooks

Deep — bi-directional API Medium — one-way sync / webhook Shallow — middleware / Zapier-class

Community ratings Coming soon
Alternatives 6 in Document Management

Other Document Management vendors in the directory. "Compare" pages are editorial and coming as we build them.

Founders
Funding
  • 9.2MTotal funding reported by the TLTF directory · founded 2019 · as crawled 2026-02-09source ↗

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

Webinars

We haven't found any webinars offered by Datasaur yet — see all legal tech webinars.

Events to see Datasaur at

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