Most AI tools estimate settlement value by comparing your inputs to patterns from other cases. That can feel helpful, but it commonly breaks down in ways that matter locally:
- Local job duties don’t fit generic injury categories. A limitation that sounds minor on paper (like “no repetitive lifting”) can be a deal-breaker for the specific roles people hold in Fairmont’s working communities.
- Medical documentation is everything—and AI can’t read your file. In Minnesota, adjusters and evaluators rely on objective records: restrictions, imaging, treatment notes, and how symptoms changed over time.
- Wage impact isn’t always straightforward. People in the area may have variable schedules, overtime, or shift changes. If the wage picture isn’t documented correctly, an estimate can land far too low.
The result: an AI calculator may suggest a range that looks “reasonable,” while your actual settlement value depends on evidence the tool never sees.


