A solo personal injury attorney in Phoenix used AI intake instead of hiring staff: it answers after hours, logs every lead in the CRM and scores it. Over three months, leads went from 42 to 78 a month, signed cases from 6 to 11, and missed calls from 27% to 3%.
Month 1 to month 3: leads 42, 60, 78; signed cases 6, 8, 11; missed-call rate 27%, 10%, 3%. The vendor reports a 21x yearly return. No intake staff were hired. (as reported by the source)
Guide: AI receptionist for small business: real examples and how to set one up
Our own prompt for copying this setup. Swap in your details. Not quoted from the source.
You handle intake for [Law Firm], a personal injury practice. Ask what happened, when and where, whether anyone was hurt and got treatment, and if they already have a lawyer. Collect name, phone and email, log the lead in our CRM, score it hot, warm or cold using our rules, and book hot leads into the next open consult. Never give legal advice.
A law firm uses an AI intake agent so no calls are missed. It reports about 15 hours saved a week and good results from passing qualified callers straight to staff.
A Charlotte, NC traffic and criminal defense firm swapped its answering service for a Retell AI voice receptionist that screens callers and creates matters in Lawmatics. From Feb 23 to May 17, 2026 it created 108 qualified traffic matters; 57 got a quote and 14 signed.
A Texas HVAC and plumbing company swapped voicemail for an AI agent on after-hours and overflow calls, plus instant replies to web leads and follow-ups on old estimates. It reports 90+ bookings a month by AI.