Every small business that lives on enquiries knows the same problem: a lead comes in, and someone has to stop what they’re doing to type it into another system before anyone can even pick up the phone. That gap is where deals go cold, and it’s exactly what one US law firm decided to close.
Louisiana firm Rozas has built a two-minute lead response system using Zapier, according to a case study the automation company published this week. The firm, which handles immigration, criminal defence and family law cases, takes around 1,800 calls a week and between 30 and 70 new leads a day on top of that. Law firms exploring similar AI tooling can also see how Actionstep’s AI built for law firms compares.
Before the rebuild, a new enquiry landed as an email and someone on the intake team had to read it, key the name, phone number and case type into the firm’s practice management tool, Clio Grow, then send a response and make a call. COO Matthew Rozas estimated that took at least a minute per lead, which at 50 leads a day added up to more than 50 minutes of pure data entry before any actual conversation began.
The new setup uses AI by Zapier to read an incoming message, identify the case type, and draft a first reply with relevant questions. Businesses comparing automation platforms beyond Zapier can see how n8n’s comparison of Workato alternatives stacks up on cost. It then pushes the lead into Clio Grow and fires off a text and email through RingCentral and Gmail, while also calling the lead and notifying the intake team. The whole sequence takes about two minutes from form submission to first contact. Firms exploring similar AI integrations can also see Vestd’s MCP server launch for Claude and ChatGPT.
The results Rozas reports are worth pausing on. The firm says it now saves more than 66 hours of administrative time a month, and its conversion rate has climbed from 11.06% to 13.58%, a gain similar to what firms report after adopting Zoho’s conversational expense workflows, a roughly 23% improvement. Call answer rates within the firm’s benchmark window have also improved, because intake staff are no longer trying to juggle a ringing phone and manual data entry at the same time.
What this means for a UK small business
This is a US law firm’s case study, not a UK small business one, so treat the numbers as illustrative rather than a benchmark to hit. What transfers is the principle: any business fielding enquiries by phone, form or text has the same gap between “someone asked” and “someone responded”, and every minute in that gap is a minute a competitor can fill instead.
The tools involved are not exotic. Zapier connects everyday apps like Gmail and RingCentral without custom development, and firms already using AI assistants such as Claude or ChatGPT for drafting could plug similar logic into their own intake process. Our guide to writing an AI usage policy for a small business is worth reading before switching anything on, particularly on the point that AI can draft a client-facing message, but a person should still check it before it goes out.
The pattern also matches what other AI adopters are finding. Research covered in our piece on which UK SME AI front-runners save the most time found the biggest gains come from automating the repetitive handoffs between systems, not from any single flashy tool. Firms exploring conversational automation elsewhere in the business, such as the approach detailed in our look at Zoho Expense’s conversational expense workflows, will recognise the same underlying idea: let AI handle the typing, and let people handle the judgement calls.
What to do next
If your business is losing leads to slow follow-up, start by mapping exactly where a new enquiry sits before someone acts on it, whether that’s an inbox, a voicemail or a text to a number nobody monitors. Then look at whether a tool like Zapier, or the automation features already built into your CRM, can close that gap without needing a developer. Small changes to response speed tend to move conversion rates more than most marketing spend does.
