Datasaur

Est. 2019 HQ United States Employees 68 Funding $9.2M Updated 2026-02-10
#283 / 1,697 rlegaltech 500 · overall
Rank trajectory2024-02 → 2026-05 · 28 months
FELL -46From #237 (2024-02) to #283 today
#208#230#253#275#2972024-02: #2372024-03: #2312024-04: #2312024-05: #2322024-06: #2422024-07: #2512024-08: #2412024-09: #2282024-10: #2202024-11: #2212024-12: #2282025-01: #2422025-02: #2522025-03: #2462025-04: #2312025-05: #2302025-06: #2192025-07: #2342025-08: #2432025-09: #2572025-10: #2602025-11: #2552025-12: #2692026-01: #2692026-02: #2722026-03: #2772026-04: #2862026-05: #283 #283 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 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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