AI tools usually work like this: you enter injury details, treatment timing, and work limitations, and the tool returns an estimated range based on patterns from other cases.
The problem is that Michigan claims are not “pattern-matching only.” Two workers in Garden City can report similar symptoms after a workplace event—yet see very different results because of details such as:
- Whether your first medical visit clearly connects symptoms to the work event
- Whether your restrictions are consistent and supported by objective findings
- Whether your wage loss is documented in a way the insurer accepts
- Whether the claim is being resolved early or after disputes develop
In other words, AI can guess at the “shape” of a case, but it can’t read your insurer’s objections, the credibility issues that sometimes arise, or the way Michigan’s process affects timing and leverage.


