Personal injury lead qualification has five components. Injury type — is this within the firm's practice area? Statute of limitations — has the filing deadline passed? Liability — is there an identifiable at-fault party? Insurance — does the at-fault party carry insurance or does the client have uninsured motorist coverage? Medical documentation — has the client sought and documented treatment? An AI system can evaluate all five criteria in the first 90 seconds of a call or SMS conversation, before a paralegal has opened their email.
The Manual Qualification Problem
Most PI firms qualify leads through a combination of paralegal phone screening and attorney review. This process takes hours for routine inquiries and consumes significant paralegal time on cases that will ultimately be declined. A firm receiving 50 inquiries per month and accepting 15 is spending paralegal hours on 35 inquiries that produce no revenue. AI pre-qualification moves the filter earlier — to the intake conversation itself — so only the 15 viable leads reach a paralegal's desk.
How AI Qualification Works in Practice
The AI qualification engine receives the inquiry — from a web form, a phone call, or an SMS — and evaluates it against the firm's configured criteria. The criteria are set once by the firm and applied consistently to every inquiry: auto accidents require a police report and an identifiable at-fault party; slip-and-fall cases require documented hazardous conditions on identifiable property; medical malpractice requires a departure from the standard of care with documented injury. Cases that meet all criteria are classified as high-priority and routed immediately. Cases with uncertainty on one criterion are routed to paralegal review with the specific uncertainty flagged. Cases that clearly fail are auto-declined.
The Qualification Score
The Injury Law AI Intake System produces a qualification score from 0 to 100 for every lead — built from the five criteria weighted by the firm's intake standards. A score above 75 routes to immediate attorney notification. A score between 50 and 75 routes to paralegal review. Below 50 triggers an automated decline message. The score, along with all extracted case details, appears in the CRM before any staff member reviews the inquiry.
What This Does to Paralegal Workload
A firm with AI pre-qualification changes the paralegal's intake role from screening calls to reviewing pre-screened summaries and making the human judgment call on borderline cases. The routine qualification work — checking dates against statute deadlines, confirming the presence of a police report, verifying that medical treatment was sought — is done by the AI before the paralegal sees the case. The paralegal's time goes to the cases that actually require human assessment.