Vendor-reported figures — source: www.lawmatics.com
Levinson & Stefani, an intentionally boutique Chicago personal injury firm focused on auto and trucking cases, historically relied on attorney referrals for 80–90% of matters. Over two years, internet-driven inquiries rose sharply, but intake-to-onboarding still required 8–12 manual touchpoints—review, agreement sending, follow-ups, onboarding triggers, and case creation—most of which did not need legal judgment.
Every inbound lead interrupted attorneys for accept/reject/refer decisions, creating cognitive drag during active litigation. Without structured intake tracking and reporting, the firm also lacked visibility into conversion by lead type and source performance needed to refine marketing while scaling without adding intake headcount.
The firm implemented Lawmatics alongside QualifyAI to build a fully integrated intake-to-onboarding engine from first contact to signed client. QualifyAI scores every inbound lead against firm-defined criteria—flagging strong cases, auto-routing clear rejects, and escalating only edge cases for attorney review.
When a lead qualifies, Lawmatics automatically sends the retainer, follows up on unsigned agreements, delivers a welcome message within seconds of signing, creates case files, assigns onboarding tasks, and captures source attribution—reserving human judgment for cases that truly need it.
The firm reported a 75% reduction in manual intake tasks, with 80% of the intake process now automated. Non-referral (online) case volume grew approximately 2X—nearly a 100% increase—without adding intake staff.
Managing Partner Jay Stefani credited the system with nearly doubling non-referral cases while preserving a high-touch client experience and freeing attorneys from routine interruptions.
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