← Back to Case Studies
    April 14, 2026·6 min read

    Case Study: 64% of Calls Auto-Handled at a Law Firm

    KEY RESULT

    64%

    of inbound calls handled automatically in week 1

    Client: 12-attorney boutique civil-litigation firm, Central Europe

    A 12-attorney civil-litigation firm in Central Europe was receiving 72+ inbound calls per day. Nearly half were FAQ-type questions: office hours, document requirements, consultation fees, case status checks. Yet paralegals and attorneys—some billing $300–$600 per hour—were answering "What are your office hours?" repeatedly throughout the day.

    What was the problem?

    When we audited their call flow, the numbers were stark. The firm was handling 72+ calls per day, with roughly 50% being simple FAQ calls that didn't require attorney judgment. A paralegal and attorney combined were spending 38 hours per week answering questions that a well-trained voice agent could resolve in under 10 seconds.

    At paralegal rates (~€60–80/hour) and attorney time (~€300–600/hour), that 38 hours per week was costing €3,000–€4,500 weekly in billable time diverted to administrative call-answering. The firm wasn't recovering this cost from clients. It was pure overhead.

    More expensive: calls were sometimes going unanswered during brief periods when staff was on other calls or in meetings. Prospects hung up. Potential cases walked.

    How did ClearCall AI deploy?

    We started with one use case: front-line FAQ handling + intake qualification. We trained the voice agent on the firm's standard questions:

    • → Office hours and location
    • → What documents to prepare for a consultation
    • → Consultation fee and payment terms
    • → Case assessment intake (type of issue, timeline)

    The agent answered these questions immediately, in the caller's language, with the firm's specific information. If a caller needed legal advice or wanted to book a consultation, the agent collected details and escalated to the paralegal with full context—no need to repeat information.

    Deployment took two weeks. No IT lift. The system integrated with their existing voicemail and CRM intake process.

    What were the results?

    Week 1: 64% of inbound calls were handled entirely by the voice agent, with zero escalation. Callers got instant answers to FAQ questions. The agent handled ~46 calls per day automatically. For the remaining 26 calls per day (more complex inquiries), the paralegal had context from the agent intake and could spend time on actual qualification, not repeating basic information.

    Month 3: Results held steady. The firm was now freeing 30+ paralegal hours per week that previously went to call-answering. Those hours went back to actual case qualification, document review, and client relationship work. Staff reported less phone fatigue. Attorneys stopped being interrupted for "what are your hours?" calls.

    Bonus: after-hours calls were now answered. Prospects calling at 6 PM got immediate responses instead of voicemail. Several after-hours callers scheduled consultations directly.

    Why this worked

    Law firms have a clear FAQ layer—the same questions arrive repeatedly. The firm's staff was already trained to answer them consistently. We didn't need to teach the agent legal reasoning. We just needed to automate the gate-keeper function and escalate appropriately.

    The agent handled one job extremely well: qualifying whether the caller's issue matched the firm's practice area and collecting intake information. That narrow focus meant 64% automation on day one, not the 15-20% you see with over-ambitious agents trying to do five things at once.

    And the biggest win: paralegals went from call-answering to case-building. That's not just hours saved. That's a staff retention win and a quality win for the firm's actual casework.

    Find out what your call audit would reveal

    A free 20-minute call analysis to identify your biggest call-handling bottleneck.

    Client identity anonymized at their request. Outcome metrics validated against deployment telemetry.