AI tools typically work off generalized patterns. That can be a problem when your claim depends on specifics like:
- Your commute and shift schedule: If your work time changes (common in service, maintenance, and shift-based roles), wage-loss assumptions can be thrown off.
- Tourism-season staffing and overtime: If you earned extra income during peak periods, an estimate may not reflect the way your pay actually fluctuated.
- Documentation timing: In Florida, gaps between the injury date and the first detailed medical notes can become a focus for insurers. An AI range can’t tell you whether your records look “tight” or “loose” in the way adjusters expect.
The result: you may walk away with a number that feels “reasonable,” but doesn’t match the evidentiary story your insurer will argue.


