7 sourced use cases from firms of 1 to 200 people. Filter the full archive by Claude to combine it with a category, region or search.
One-person tax practice, Richmond, Virginia
Keeps a Claude project per client and has it draft tax workpapers from redacted documents, which he then checks and keys in by hand.
Result A corporate tax workpaper fell from six or seven hours to about one.
Sole practitionerUS
Solo lawyer for small businesses and fintechs, Oakland, California
Connected an AI assistant to his practice management system, email and calendar so it drafts NDAs and does first-pass contract reviews before he opens each request.
Result He estimates he does the same work in 20% of the time it used to take.
Sole practitionerUS
Three-lawyer venture capital and M&A law firm, New York
The managing partner talks through legal drafting on walks using a chatbot's voice mode, then edits the first draft at his desk.
Result Three to four minutes of dictation on a walk gives him a first draft by the time he's back.
At least 3 staffUS
Solo founder of a small business AI coaching firm
Runs month-end invoicing, overdue reminders and a monthly income and spending summary through a chatbot.
Result A whole month's invoicing now takes about ten minutes with Claude.
Sole practitionerUS
Bakery selling online and on TikTok Shop
When a staff member left, the owners used Claude to automate printing orders, gift tags and labels and to download topper templates. Claude also helped build a tool in three hours that works out daily production numbers.
Result The owners believe a one-button label printing tool saves 86 hours a month.
21 staffUK
Managed IT service provider
An AI coworker called Belle triages every ticket, filters out noise and duplicates, writes up investigations and closes routine tickets. Anything risky needs human approval, and people handle outages.
Result Average first response time fell by 80%, from 5.5 hours to 1.1 hours.
Not statedAustralia
Wellness brand selling direct and through retail
Someone pastes a screenshot of an inbound shipment into Slack. Claude reads it, matches each item to live inventory IDs, builds the warehouse receiving order, checks the read-back and posts the box labels back. B2B orders are held for a person to review.
Result Creating warehouse receiving orders now saves about 6 hours a month.
Not statedUK
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