AI tools usually work by taking the information you type in—injury description, treatment timeline, and sometimes work impact—and matching it to generalized outcomes from past cases. That can be helpful for understanding the categories of damages.
It often breaks down when your situation has local, case-specific friction, such as:
- Lane merges and turning conflicts on busy corridors, where fault may be contested.
- Delayed symptoms after a crash (common with concussions, soft-tissue injuries, and aggravation of existing conditions).
- Documentation gaps caused by rushed medical follow-up—especially when riders are trying to get back to work quickly.
In Alabama, insurers will look closely at whether the medical records support the story of causation. If your treatment notes don’t line up cleanly with the crash timeline, an AI number can be misleadingly optimistic or undervalued.


