Docura Health is an AI-native med-legal firm that reduces settlement time in workers' compensation cases by automating medical record review, chronologies, and report drafting with AI. The platform transforms extensive medical records into structured, compliant summaries for evaluators, claim adjusters, insurers, and legal teams. Docura Health was founded in 2026 and is part of Y Combinator's Winter 2026 batch.
Docura Health
ActiveAI-Native Med-Legal Firm
Total raised
$500K
1 round
Stage
Seed
Jan 2026
Team
1-10
since 2026
Pricing
—
Founded
2026
San Francisco, United States
Agent-ready
—
Automated medical record review for workers' compensation cases
AI-generated medical chronologies from extensive records
Automated report drafting for evaluators and adjusters
Turns large medical record sets into structured summaries
Compliance-oriented output for med-legal use
Serves evaluators, claim adjusters, insurers, and legal teams
Aims to reduce settlement time on claims
AI-native med-legal firm model combining software with domain expertise
12/100
Early
MCP server
Public API
Webhooks
OAuth 2.0
SDKs
No public agent surfaces detected yet.
Jan 2026 Seed $500K ● Y Combinator
Capital network
$500K raised ·1 backer·10 network links
- Backers1
- Shared portfoliocompanies these backers also fund
- Extended networkfunds that co-invest alongside them
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- What does Docura Health do?
- It is an AI-native med-legal firm that automates medical record review, chronology building, and report drafting for workers' compensation cases, turning extensive records into structured, compliant summaries.
- Who uses Docura Health's output?
- Its summaries and reports are intended for evaluators, claim adjusters, insurers, and legal teams working on workers' compensation matters.
- How does it speed up settlements?
- By automating the labor-intensive review of large medical record sets and drafting structured reports, it aims to shorten the time needed to assess and settle claims.
- Is the AI output the final word?
- The output is structured to be compliant and usable in med-legal contexts, but given the stakes, professional review remains important for accuracy.
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