What it sells
Legal AI for document analysis.
Business model breakdown
Buyer: who owns the budget?
UnverifiedGeneral counsel/legal ops at in-house departments, litigation partners at law firms, or heads of legal service providers (white-label).
Trigger: what makes them buy now?
High cost and slowness of manual document review and legacy TAR in eDiscovery; site claims 90% faster review, 70% lower cost, ~99% accuracy.
Workflow: what inputs become what output?
Upload documents, AI is applied during ingestion, natural-language search and first-pass tagging of millions of documents in days with explained decisions, then second-pass human review.
Economics: what it saves and how it charges
Priced per matter or annually rather than per GB or per hour, positioned as cutting review cost about 70% versus human reviewers.
Distribution: how it reaches customers
Demo/meeting-led sales to law firms, corporate legal and LSP resellers; deploys on-prem, cloud or hybrid.
Funding history and coverage
| Round date | Stage | Amount | Investors | Source |
|---|---|---|---|---|
| 2026-08-26 | — | $2.5M | — | news.google.com |
Profiles summarize public reporting and company websites. Business-model notes are MaxBC's reading of that material, not confirmed facts; unknowns are left blank rather than guessed. Updated 2026-10-12.