Most AI tools generate a rough range by using inputs such as injury severity, age, and basic care needs. That can be useful for brainstorming, but it often misses details that matter more in local cases—like:
- How quickly you reached appropriate specialty care after the injury
- Whether the incident happened during a commute or another high-impact time when liability questions arise
- Whether your day-to-day function changed immediately (mobility, transfers, bladder/bowel care, skin risk)
- What your life-care needs realistically look like in Florida (durable medical equipment, home accessibility, transportation, and caregiver support)
In other words, an AI output can’t review your imaging, neurologic exams, therapy records, or your doctor’s prognosis. Without that, you may see a number that feels “close,” but still isn’t grounded in the proof insurers rely on.


