Legal AI

Checkbox

Est. 2016 HQ United States Employees 77 Funding $6.9M Updated 2026-02-10
What it is

No-code AI intake and workflow automation platform built for in-house legal teams. Captures business requests from Slack, email, Teams, and web forms, triages them via an AI chatbot trained on company policies, and routes to the correct workflow — what Checkbox brands as the ‘Legal Front Door.’ Core capabilities include no-code form and workflow builder (drag-and-drop, no developer resources needed), matter lifecycle tracking, automated approval routing, customizable dashboards with cycle-time and workload analytics, and self-service tools for business stakeholders. Founded in Sydney, Australia in 2016 by school friends Evan Wong and James Han (Forbes 30 Under 30). Bootstrapped for years before raising $6.3M pre-Series A, then $23M Series A (Jan 2026) led by Touring Capital with Peak XV Partners — valued at ~$100M. 100+ enterprise customers including SAP (30+ min saved daily, 3 workflows consolidated), Telstra (6,000+ hours saved annually), Hitachi (83% of routine legal/compliance requests automated), PepsiCo, Woolworths, Coca-Cola Europacific Partners, Macquarie Group, Hines. Enterprise-only pricing ($15K+ annually). Not suitable for solo/small firms. AI chatbot model and accuracy metrics not publicly documented.

Company Info

  • Founded: 2016
  • Team size: 11-50 employees
  • Funding: $6.9M
  • HQ: United States
  • Sector: In-House Automation

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

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

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

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