Customer support · Production

Grolman LLP replaces after-hours human attendant with Upfirst AI receptionist

The problem

Grolman LLP's small law firm relied on a traditional human attendant for after-hours calls, resulting in interactions as long as three minutes just to leave a message. Clients calling about time-sensitive legal matters wanted a fast, professional experience, and the firm wanted to avoid missed calls without sinking hundreds a month into basic message-taking.

Workflow diagram · grounded in source

After-hours call forwarded

trigger

“moved to a digital phone system that could forward calls to Upfirst at set times”

AI receptionist handles call

ai_action

“Upfirst's AI receptionist let him customize call handling with the exact knowledge, questions, and rules his firm needed. Unlike rigid scripts or generic bots, Upfirst let Grolman LLP's virtual receptionist reflect their expertise. Ira c…”

Call summary delivered to inbox

output

“Messages and call summaries landed in Ira's inbox with full transcripts”

Attorney follow-up or delegate

human_review

“making it easy to follow up or delegate”

Reported outcome

Grolman LLP gained 24/7 AI receptionist coverage, with clients reaching a knowledgeable, polite receptionist without waiting, messages and call summaries with full transcripts delivered to the inbox, and reduced costs while improving call quality.

Reported metrics

Time to leave a message (old system)three minute interaction

Monthly cost for human after-hours attendanthundreds a month

After-hours messaging costsreduced costs

Receptionist availability24/7

Reported stack

Upfirst

Source

https://upfirst.ai/customers/grolman-llp

Read source ↗

Frequently asked questions

What did this team achieve with this AI workflow?

Grolman LLP gained 24/7 AI receptionist coverage, with clients reaching a knowledgeable, polite receptionist without waiting, messages and call summaries with full transcripts delivered to the inbox, and reduced costs…

What tools did this team use?

Upfirst.

What results were reported?

Time to leave a message (old system): three minute interaction; Monthly cost for human after-hours attendant: hundreds a month; After-hours messaging costs: reduced costs; Receptionist availability: 24/7 (source-reported, not independently verified).

How is this customer support AI workflow structured?

After-hours call forwarded → AI receptionist handles call → Call summary delivered to inbox → Attorney follow-up or delegate.