LegalAI Assist
LegalAI Chatbots

LegalAI Assist

AI chatbot reducing legal intake time by 70%

Duration

10 weeks

Team

3 engineers

Year

2024

Overview

A mid-size law firm with 45 attorneys was losing potential clients during the intake process. Their reception staff could only handle 15-20 intake calls per day, and 60% of callers who couldn't reach someone never called back. The firm was leaving significant revenue on the table.

The Challenge

Legal intake is nuanced. The chatbot needed to ask the right questions to triage case types, identify conflicts of interest, assess urgency, and collect sufficient details for an attorney to evaluate the case — all while being empathetic and professional. A single wrong classification could mean a missed deadline or a conflict violation.

Our Approach
01

Trained a fine-tuned GPT-4 model on 5,000 anonymized historical intake transcripts provided by the firm

02

Built a multi-turn conversational flow that adapts questioning based on case type detection

03

Integrated with the firm's practice management software for automatic conflict checking and case assignment

04

Implemented human-in-the-loop escalation for high-value or urgent cases with immediate attorney notification

Results

The numbers tell the story.

Intake Time-70%

Average intake conversation from 25 minutes to 7 minutes

Lead Capture+180%

24/7 availability tripled the number of potential clients captured

Attorney Time-45%

Attorneys spend less time on initial case screening

The chatbot is better at intake than most of our junior associates. And it never takes a lunch break.

Sarah Mitchell

Managing Partner

Tech Stack
PythonGPT-4LangChainNext.jsSupabaseVercel

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