AI tools typically generate ranges by comparing the inputs you provide to patterns from other cases. That can make the output feel persuasive, especially when it includes categories like treatment duration, time off work, and injury type.
In North Logan, that “close but incomplete” problem is common because workplace injuries often intersect with real-world constraints—commuting time, shifts that depend on reliability, and jobs that require physical consistency. If the AI estimate doesn’t reflect your actual restrictions, availability of modified duty, or the timeline of your symptoms, the range can shrink your expectations in a way that harms your negotiating position.
The key point: in Utah workers’ comp, the settlement value is tied to what the record can prove—not what an algorithm predicts.


