Illustrative example. This is based on real methodology and a realistic scenario — not a specific named client. Figures are indicative of the kind of outcome the approach targets, not a claimed client result.
Legal & Professional Services

Workflow automation for a professional-services firm

The challenge

A growing professional-services firm was capping its own growth with manual back-office work. New-client intake, document collection, and data entry across disconnected tools ate hours that should have been billable, and slow responses meant some prospective clients went elsewhere.

Our approach

We mapped the intake-to-onboarding process, quantified where the hours actually went, and automated the slow parts. Intake details and documents are now collected and filed automatically, records sync between the firm’s tools, and consultations are scheduled with automated confirmations — with exception handling so the automation fails loudly, not silently.

What we built

  • Automated client intake with structured data capture
  • Document collection and filing wired into existing storage
  • Integrations syncing records across the firm’s tools, no re-keying
  • Automated consultation scheduling with confirmations and reminders
  • Exception handling and monitoring the team can run without us

Outcomes the approach targets

Repetitive intake and data entry removed
Manual admin
Hours returned to client-facing work
Billable time
New inquiries handled and booked faster
Response speed
Fewer errors from manual re-keying
Accuracy

Services used

More on this: AI for Legal & Professional Services

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