Most AI tools predict value using simplified categories. That can be helpful as a starting point, but it rarely captures what matters most in a local claim—especially when injuries are catastrophic.
In practice, insurers adjust their evaluation based on details like:
- How the injury occurred (rear-end collisions on commuting routes, worksite impacts, or falls in public spaces)
- Whether symptoms were immediate or delayed
- The neurological severity findings documented in the medical record
- Whether future care is realistic and already recommended by treating providers
If your estimate is built on guesses—or if key documentation isn’t available—your range can drift far from what a claim can actually support.


