AI tools typically work by asking for inputs like your diagnosis, injury date, body part, treatment history, and time missed from work. From there, they output a “range” based on patterns they’ve seen.
The problem is that Batavia claim files often hinge on details that aren’t captured well by a generic form—like:
- Whether your restrictions were documented consistently by your treating provider (especially if you returned to limited duty or had gaps in care).
- How your wage loss is proven when your schedule includes variable hours or regular overtime.
- Whether the insurer disputes causation—for example, when symptoms resemble issues that existed before the work incident.
An AI estimate can’t reliably review the evidence that actually matters in New York: the credibility and consistency of the medical timeline, the clarity of work restrictions, and how the insurer frames disputed issues.


