« All work
[ Case study ] Legal

Voice notes that become billable time for solo lawyers

A lawyer speaks for 30 seconds after a hearing or call; it becomes billing-ready time entries, tasks and deadlines in Clio.

VocketOwn productMobile appAndroid beta · iPhone in progress2026
Vocket product screenshot
Vocket: product screenshottryvocket.com
ClientOwn product
IndustryLegal
ProductMobile app
RoleFounder & product owner
[ 01 / 07 ] About the client

Who it’s for

Solo and small-firm lawyers in the US bill by the hour, but on average only about 2.9 hours of an 8-hour day make it onto the bill. The rest is real work that never gets written down. Most of them run their practice on Clio.

[ 02 / 07 ] The challenge

What needed to change

Rebuilding the day from memory at night loses hours, and the deadlines promised on calls live only in someone’s head. Lawyers needed to capture work in seconds, even from the parking lot, and no AI could be allowed to file anything they hadn’t approved.

[ 03 / 07 ] The build

What we built

  1. [01]
    One-press voice capture that works offline, so a recording is never lost
  2. [02]
    A capture engine that turns speech into time entries in tenth-hours, matter notes, tasks, deadlines with reminders, calendar entries and expenses
  3. [03]
    New clients created by voice, with a duplicate check that can’t be skipped
  4. [04]
    If a matter or amount is unclear, the app asks a quick tap-to-answer question rather than guessing
  5. [05]
    Review, edit and confirm: big items start unticked, and nothing is filed without the lawyer’s OK
  6. [06]
    Clio integration that files each item exactly once, reconciles anything stuck and offers undo
  7. [07]
    Deadline reminders at a sensible local hour, an evening close-out and a full audit trail
  8. [08]
    Privacy built in: audio deleted after transcription, encrypted Clio access, full export and delete, and a hallway mode that hides transcripts in public
[ 04 / 07 ] How it works

How it works, step by step

  1. [01]

    Press and speak

  2. [02]

    Speech becomes text, tuned to the lawyer’s own matters

  3. [03]

    AI proposes entries and turns unclear items into questions

  4. [04]

    The lawyer reviews and confirms

  5. [05]

    Each item is filed to Clio exactly once

[ 05 / 07 ] Results

Results so far

$0.0074

AI cost per capture

~10 s

from speaking to proposed entries

28

end-to-end checks against real Clio

[ 06 / 07 ] Key decisions

Decisions that mattered

  1. [01]
    A niche over a general assistant: solo lawyers were chosen after scoring nine professions.
  2. [02]
    Accuracy came first. The stronger AI model won because a wrong date is unacceptable in a deadline product, and prompt caching brought the cost back down.
  3. [03]
    Built as a filing tool: the lawyer confirms everything, and only their own voice is captured.
[ 07 / 07 ] Under the hood

The technology

React Native (Expo)Over-the-air updatesNode.js on RailwaySupabase (PostgreSQL, row-level security)Speech-to-text + Claude with prompt cachingClio API (OAuth, encrypted tokens)Automated evals

For anyone curious about the tools. You don’t need to know any of this to work with us.

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