Many AI tools generate a settlement range by comparing your inputs to patterns from other claims. That can be useful for orientation. The problem is that the inputs you enter are rarely the inputs that matter most later.
For example, in Shelbyville-area claims, insurers frequently focus on:
- Timing: whether symptoms were reported and whether treatment records align with the incident date
- Functional limits: whether your doctor’s work restrictions are specific enough to match real job duties
- Causation: whether the medical record ties your condition to the work event (not just “nearby in time”)
- Wage documentation: whether payroll records reflect your actual earning pattern
An AI tool can’t verify any of that. It also can’t account for how Indiana’s process treats contested issues, delays, or requests for additional evaluations.


