Most AI tools generate ranges using inputs like injury severity, length of recovery, and general categories of damages. That can feel reassuring—until you realize the model is blind to the details that usually decide cases.
In Cudahy and across Wisconsin, claims frequently turn on:
- What was actually documented in the chart (and what wasn’t)
- Whether an expert can explain the deviation from the standard of care
- Whether causation is medically supported (the mistake caused the harm, not just coincided with it)
- How damages are substantiated with bills, wage proof, and treatment plans
If those pieces aren’t in the calculator’s assumptions, the estimate may be too low—or too high.


