Case Study

AI-Powered Client Intake Automation for a Mid-Size Family Law Firm

Industry: Legal — Family Law
Timeline: 6 weeks
Team: 3 engineers
Tech: Python, GPT-4, Next.js, Twilio
152%
Lead Increase
25+ hrs
Saved per Week
58%
Conversion Rate

The Challenge

A 12-attorney family law firm was losing potential clients due to a slow, manual intake process. When someone called or submitted a website form, it took an average of 4-6 hours for a return call. By then, many prospects had already contacted another firm.

The firm's lead-to-consultation conversion rate was just 23%. The office manager spent 25+ hours per week on intake-related tasks: returning calls, collecting basic information, scheduling consultations, and checking conflicts.

The Solution

  • AI-powered web intake that captures leads 24/7, asks qualifying questions specific to family law (custody, divorce, property division), and collects necessary documents
  • Automated conflict checking against the firm's existing client database
  • Smart lead scoring that prioritizes high-value cases and routes to the appropriate attorney based on practice area and availability
  • Automated follow-up sequences via email and SMS for leads that don't immediately book
  • Integration with the firm's case management system (Clio) and calendar

The Results

  • Lead-to-consultation rate: 23% → 58% (152% increase)
  • Average response time: 4-6 hours → under 2 minutes
  • Office manager time saved: 25+ hours per week redirected to higher-value work
  • After-hours leads captured: 40% of all leads now come outside business hours (previously lost)
  • Conflict check time: Reduced from 15 minutes manual to instant automated

Key Takeaway

The biggest impact was speed. Responding to inquiries in under 2 minutes — even at midnight — meant the firm was almost always the first to connect with a potential client. In family law, where clients are often in emotional distress, being the first firm to respond and show empathy is a massive competitive advantage.

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