AI tools typically use generalized patterns—inputs like injury type, treatment duration, and wage loss—to generate a “likely” range. The problem is that workers’ comp settlements are not calculated from injury labels alone.
In Mendota, it’s common for work impact to be tied to real-world constraints such as:
- Seasonal overtime and shifting shifts (which affects how wage loss is documented)
- Manual labor requirements (which makes work restrictions central to value)
- Employer return-to-work pressure (which can affect the consistency of medical follow-up)
- Field-to-warehouse transitions (which can create gaps in how restrictions are described)
If the AI doesn’t have your actual restrictions language, your wage documentation, or the timeline of medical visits, the estimate may be directionally wrong.


