Every in-house legal team has the same quiet problem: no one really knows how much work is coming through the door. Requests arrive by email, by Slack message, in a hallway, buried in a Salesforce record. Some are trivial - an NDA, a routine approval. Some are genuinely hard. Almost none of it is measured. Checkbox was built to fix that entrance.
The company describes its core product as the "AI Legal Front Door" - a single point of entry that captures legal requests wherever they start, then uses AI agents to sort them. Routine matters like contract drafting and conflict-of-interest checks can be resolved through self-service or automation. The complicated ones get routed to the right lawyer, with context attached.
What it actually does
Checkbox sits across a company's communication channels - email, Slack, Microsoft Teams, Jira, Salesforce and intranet portals - and converts incoming conversations into structured workflows. Its no-code, drag-and-drop builder lets legal operations teams design automations for repeatable work without writing code or filing an IT ticket. Matter management then keeps documents, emails, tasks, approvals and conversations for each request in one place.
The payoff, according to the company, is visibility. "Our customers go from operating in the dark and spending time on things they shouldn't be, to working on what matters and getting visibility into demand, workload, and cycle times," says co-founder and CEO Evan Wong.
Who is using it
More than 100 enterprises run legal operations on Checkbox, including SAP, PepsiCo, Hitachi, Telstra, Woolworths, Coca-Cola Europacific Partners, Telefonica and Xero. At Hitachi, the company says 83% of routine legal and compliance requests are now partially or fully automated - a figure that captures the platform's core pitch in a single number.
The model is deliberate: automate the repeatable, escalate the judgment calls. Rather than trying to replace lawyers, Checkbox aims to reduce a legal team's dependence on outside counsel by capturing institutional expertise from every request and making it reusable. "This institutional expertise can then be leveraged by AI to help teams move faster, deliver more consistent work, and reduce dependency on outside counsel," says co-founder and Chief Product Officer James Han.