AI tools typically generate a “range” based on inputs you provide. That can be helpful when you’re trying to understand which damages categories commonly matter.
In Reno, however, many spinal injury cases turn on issues that an AI model can’t truly evaluate, such as:
- How the crash happened (speed, lane dynamics, visibility, weather conditions, and braking distance)
- Whether symptoms were documented immediately or appeared after a delayed period
- Functional findings (mobility, transfers, bowel/bladder involvement, skin risk, respiratory issues)
- Consistency of the medical timeline—especially where multiple providers treated you
An AI estimate can’t review the imaging, neurological exams, therapy notes, and life-care planning needed to support future damages. If those records don’t exist yet—or if they’re incomplete—an AI number may mislead you.


