Why legal. Why personal injury.

Legal has an incentive problem as much as a technology problem. Under the billable-hour model, AI reduces the time a firm can charge for. Efficiency may benefit the client while reducing firm revenue.

Personal injury reverses that equation. Firms work on contingency, invest in cases, and get paid when clients get paid. Faster lead response, stronger follow-up, and fewer case delays can increase revenue.

The gap in the market

Personal injury firms already have systems for leads, matters, documents, tasks, calls, and communication. These are useful systems of record. They do not execute the work between systems.

Incumbents are adding AI features inside their products, but each feature remains confined to its product. Firms need an execution layer that works across their stack and follows firm-specific rules, escalation paths, and review standards.

Weak APIs and limited programmable interfaces make that difficult. The issue is not that lawyers lack a command line. It is that firms cannot easily control workflows that cross vendor boundaries.

Our wedge: intake revenue recovery

We start where demand either becomes a signed case or disappears: intake.

Firms spend heavily on leads, then lose cases through missed calls, slow response, weak follow-up, inconsistent qualification, broken handoffs, and unsigned retainers.

Intake can be improved without replacing the firm's case-management system. The product can connect to tools such as Lead Docket and Filevine, while performance is measured through response time, contact rate, qualified leads, and signed cases.

From one workflow to an operating layer

Intake teaches the system what the firm values: which cases it wants, where attention goes, when judgment is required, and how exceptions are handled.

That operating knowledge supports expansion into case opening, client communication, records, treatment, demands, liens, disbursement, and vendor governance. The long-term product is a firm-owned execution layer, not a bundle of disconnected AI features.

How we plan to earn distribution

We plan to earn attention by showing firms where they are losing value. Automated intake audits identify failures in calls, follow-up, handoffs, and attribution.

Free tools for after-hours coverage, website and AI visibility, and review monitoring provide an immediate benefit and create an entry point to the paid system. Forward-deployed engineers handle early integration; repeated implementation work becomes reusable product capability.

Why we believe we can win

Personal injury requires specific knowledge of lead economics, case progression, medical workflows, vendors, and risk. A narrow market focus allows us to build deeper integrations and more useful operational benchmarks.

Our deployment playbooks improve with each implementation. Documented rules, human review, audit logs, and vendor boundaries keep the resulting systems governed and owned by the firm.