Auto accident pre-qualification has six deterministic criteria that AI evaluates reliably: was the other driver at fault, was a police report filed, were there physical injuries, was medical treatment sought and documented, does the other driver carry insurance, and is the incident within the statute of limitations. These are yes/no questions with objective answers. An AI model, given the intake conversation transcript or web form data, evaluates all six criteria and produces a qualification summary in seconds — before a coordinator has opened the inquiry.
The Pre-Screening Conversation
For phone-based intake, the AI phone agent conducts a brief pre-screening conversation that covers all six criteria in under 4 minutes. The conversation is structured to cover the most common disqualifiers first — statute of limitations and liability — so that clearly unqualified inquiries are identified early and the conversation ends before consuming the time needed for full intake of a viable case.
The Pre-Qualification Summary
The AI delivers a pre-qualification summary to the intake coordinator: which criteria were met, which were unclear, which were failed, and a recommended routing — high priority, review, or decline. The coordinator reviews the summary, applies human judgment to any uncertainty flags, and makes the accept/decline decision. The AI handles the information gathering and preliminary assessment. The coordinator handles the judgment call.
The Injury Law AI Intake System runs this pre-qualification process on every inquiry — web forms, calls, and texts — producing pre-screened case summaries before any coordinator time is spent.