AI tools usually generate a range based on inputs like injury severity, age, and whether care needs are expected to be long-term. That can be useful as a starting point, but it often misses the details that matter most in real settlement discussions—particularly for catastrophic injuries.
In Florida, insurers commonly focus on how well the medical record supports:
- Causation (that the crash caused the neurological damage)
- Functional impact (how the injury changes mobility, bladder/bowel function, transfers, and daily living)
- Prognosis and stability (how long recovery may take and what “maximum medical improvement” means for future care)
- Documentation quality (consistency between EMS reports, ER notes, imaging, specialist findings, and follow-up exams)
If your inputs are even slightly off—such as using an incorrect injury level or assuming care needs without medical support—the estimate can drift far from what negotiations would realistically support.


