AI tools work by comparing your inputs—injury type, body part, dates, treatment, wage loss—to patterns they’ve learned from other cases. That can produce a range that feels “real.”
In Minot, though, many workplace injury files include practical factors that AI can’t truly verify, such as:
- Shift-based wage impacts (overtime patterns, rotating schedules, and inconsistent hours)
- Work restrictions tied to specific employers and job duties (especially for physically demanding roles)
- Documentation gaps common when treatment is delayed or when symptoms fluctuate
- Insurer focus on causation and medical support, particularly when records are incomplete or inconsistent
The result: an AI number may be directionally useful, but it can be off in either direction depending on what the claim file can prove.


