Industries

Two industries, learned properly.

I would rather be genuinely useful to a narrow set of businesses than plausible to everyone. These are the two I know how the work actually runs.

Litigation, personal injury, and general practice

Law firms

ClioOutlook / Microsoft Graphn8nDocument AI

Legal work is high-volume, deadline-bound, and unforgiving of error — which is exactly why so much of it is still done by hand. The automation that survives in a firm is the kind that respects privilege, keeps an attorney in the loop, and fails loudly rather than quietly.

What I automate here
  • Client, court, and counsel email triage and drafting
  • Matter context pulled from Clio and equivalents
  • Personal-injury demand letter assembly
  • Intake packet generation from source records
  • Precedent and policy retrieval over the firm's own files
Agencies, consultancies, and operations-heavy teams

Professional services

AirtableStackern8nWebhooks

Service businesses run on a pipeline that lives in three tools at once, and on the human glue between them. The glue is the automatable part: the sync, the follow-up, the enrichment, the status update nobody has time to write.

What I automate here
  • CRM and pipeline sync across tools
  • Lead enrichment and routing
  • Follow-up sequences triggered by real pipeline events
  • Proposal and report generation from existing records
  • Internal assistants over process documentation

Not in either bucket? The same systems fit any business drowning in repetitive email, intake, and document work — the industry knowledge just takes a little longer to build. Tell me about the process.

Losing hours to work an AI system could handle?

Tell me about the process. I'll tell you straight whether it's worth automating — no pitch, no obligation.

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