AI tools typically work from generalized inputs (injury severity, age, and a few assumptions about future care). That can be useful as a starting point, but it usually doesn’t account for the things that matter most in local claims:
- Crash and scene documentation gaps. In many Florida injury cases, key evidence depends on what was captured quickly—photos, dashcam footage, witness statements, and maintenance logs.
- Prognosis depends on records, not labels. Two people can share a diagnosis and still have very different functional outcomes based on imaging findings, neurological testing, complications, and response to early treatment.
- Settlement value is tied to proof quality. Insurers often negotiate based on whether medical causation and future care needs are supported with credible documentation.
An AI calculator can’t review hospital imaging, neurological exams, therapy notes, or a life-care plan. In catastrophic cases, that’s where the case is won—or delayed.


