Automated Site Scorer for Legal
A forecasting model that handles site selection end to end and hands a human the exceptions rather than the queue. Aimed at legal solo practitioners, at a tenth of what the enterprise suite charges.
4,441 ideas match, averaging 73/100 on the opportunity score. Subscription and licence models where revenue compounds instead of resetting.
A forecasting model that handles site selection end to end and hands a human the exceptions rather than the queue. Aimed at legal solo practitioners, at a tenth of what the enterprise suite charges.
A document parser that handles invoicing end to end and hands a human the exceptions rather than the queue. Aimed at legal partners, finding what the inspector would find, first.
Point a document parser at reconciliation, and let people review output instead of producing it. Aimed at legal partners, catching the error before it becomes a change order.
Point an anomaly detector at payroll verification, and let people review output instead of producing it. Aimed at legal partners, closing the loop while everyone is asleep.
Reconciliation handled by an anomaly detector, with a human signing rather than writing. Aimed at legal paralegal teams, catching the error before it becomes a change order.
A narrow workflow engine scoped to grant & funding tracking alone — no platform, no migration, no six-month rollout. Aimed at legal paralegal teams, charging only when it actually works.
A narrow document parser scoped to document review alone — no platform, no migration, no six-month rollout. Aimed at legal ops teams, holding service constant on a smaller team.
A reconciliation engine that sits beside the existing system, reads what it already produces, and closes payroll verification. Aimed at legal ops teams, holding service constant on a smaller team.
A voice agent that sits beside the existing system, reads what it already produces, and closes field reporting. Aimed at legal ops teams, so the work stops following people home.
Document review handled by a retrieval engine, with a human signing rather than writing. Aimed at accounting firm owners, taking the phone queue off a human entirely.
A document parser that sits beside the existing system, reads what it already produces, and closes pricing. Aimed at legal partners, unbundling the one module people actually use.
A narrow document parser scoped to field reporting alone — no platform, no migration, no six-month rollout. Aimed at legal partners, unbundling the one module people actually use.
An optimisation engine that handles route planning end to end and hands a human the exceptions rather than the queue. Aimed at legal partners, finding what the inspector would find, first.
A forecasting model that handles route planning end to end and hands a human the exceptions rather than the queue. Aimed at legal partners, surfacing the exposure nobody has priced.
Point an autonomous agent at scheduling, and let people review output instead of producing it. Aimed at legal paralegal teams, starting from data the business already produces.
A retrieval engine that handles document review end to end and hands a human the exceptions rather than the queue. Aimed at legal paralegal teams, closing the loop while everyone is asleep.
A document parser that sits beside the existing system, reads what it already produces, and closes onboarding. Aimed at legal paralegal teams, so the work stops following people home.
Quality control handled by a forecasting model, with a human signing rather than writing. Aimed at legal paralegal teams, replacing the spreadsheet that currently holds it together.
A narrow voice agent scoped to intake & triage alone — no platform, no migration, no six-month rollout. Aimed at legal ops teams, built for one person, not a department.
An optimisation engine that sits beside the existing system, reads what it already produces, and closes dispatch. Aimed at legal ops teams, holding service constant on a smaller team.
A forecasting model that handles training & competency end to end and hands a human the exceptions rather than the queue. Aimed at legal ops teams, taking the phone queue off a human entirely.
Point a long-context reviewer at RFP response, and let people review output instead of producing it. Aimed at legal ops teams, replacing the spreadsheet that currently holds it together.
Point a workflow engine at warranty & returns, and let people review output instead of producing it. Aimed at legal ops teams, going after the low-value tail everyone else skips.
A retrieval engine that handles risk assessment end to end and hands a human the exceptions rather than the queue. Aimed at legal ops teams, catching the error before it becomes a change order.