Many AI calculators work by comparing your inputs to patterns from other cases. That’s useful for ideas, but it often breaks down when the case details don’t match the tool’s assumptions.
In the Woodland area, common real-world issues can make an AI estimate look “too low” or “too high,” including:
- Commuter-heavy wage records: If your pay varies due to overtime, shift differentials, or inconsistent hours, a tool may not capture how your earnings actually changed after the injury.
- Injury timing and reporting: If symptoms worsened after a shift or you reported gradually, the timeline in your medical records matters more than what an AI predicts from a single date.
- Functional limits that don’t fit a job description: Many injured workers expect “restricted” to mean something obvious. Insurers may argue your restrictions are temporary, unclear, or compatible with modified duties.
The takeaway: an AI output is not a settlement promise. It’s at best a starting point for asking the right questions about what your claim can prove.


