Legal Services

Conversational AI Front Desk for a Mid-Sized Law Firm

Conversational AI Front Desk for a Mid-Sized Law Firm

44%

44%

Of routine calls deflected from lawyer time

< 4 min

< 4 min

First response time, down from a nine-minute average wait

About

The firm set out to free its lawyers from routine phone calls and raise service consistency. FAQs, bookings, and document requests made up 57% of call volume, average wait time ran nine minutes, and lost context on transfer created real malpractice risk. We built a conversational AI front desk that answers, books, and hands off with full context attached.

Industry

Legal Services

Company size

100 – 500 employees

Founded

1994

The Company

A firm where routine calls were consuming billable time

The firm is a mid-sized law firm whose intake line fielded a high volume of calls that had nothing to do with substantive legal work — appointment bookings, document status requests, and answers to frequently asked questions were absorbing meaningful attorney and paralegal time.

With FAQs, bookings, and document requests making up 57% of total call volume, the firm's most expensive resource — lawyer time — was routinely spent on calls that required no legal judgment at all.

The challenge

Nine-minute waits and context lost on every transfer

Average wait time before a call was answered ran nine minutes, and when a call did need to be transferred to the right attorney, the context from the original conversation was frequently lost — the client had to re-explain their situation from scratch, and any detail the client mentioned but the transferring staff member forgot to relay simply didn't make it through.

Beyond the service-quality cost, lost context on transfer carried genuine malpractice risk: a detail a client mentioned early in a call that didn't reach the attorney handling the matter was a detail that could matter later.

The Solution

Whisper transcription, GPT-4 handling, and full-context handoffs

We built a conversational AI front desk where Whisper transcribes incoming speech, GPT-4 answers routine questions directly or books appointments where appropriate, and Elastic APM logs every step for audit and quality review. When a call genuinely needs an attorney, the system hands off through CRM integration with the full conversation context already attached.

The system was scoped deliberately to routine categories — FAQs, bookings, document status — rather than attempting to handle substantive legal questions, keeping the boundary between automated and attorney-handled work clear and appropriate for a law firm's risk profile.

The Results

44% deflection, four-minute response, 25% lower cost per contact

44% of routine calls are now handled without attorney or paralegal involvement, and first response time fell from a nine-minute average wait to under four minutes for calls that do need a human. Cost per client contact fell 25% as routine-call handling moved off billable staff time entirely.

Because every escalated call now carries its full conversation context, attorneys picking up a transferred call start from where the client actually left off rather than asking the client to re-explain — closing the malpractice-risk gap that lost-context transfers had been creating.

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ABOUT Seven Billion

Seven Billion is an Applied AI company — a team of data scientists and AI engineers who build and deploy AI systems that run in production. Founded in 2020. Offices in Boston, USA and Bengaluru, India.

OFFICE

Boston, USA
Bengaluru, India

The lowest-risk way to find out if AI is right for your business.

Whether you are mapping your first AI use case or scaling AI across the enterprise, we will help you cut through the noise and build something that actually ships.

ABOUT Seven Billion

Seven Billion is an Applied AI company — a team of data scientists and AI engineers who build and deploy AI systems that run in production. Founded in 2020. Offices in Boston, USA and Bengaluru, India.

OFFICE

Boston, USA
Bengaluru, India