Most AI settlement tools work like a shortcut: you enter details about your injury, treatment, and time away from work, and the tool outputs a range based on patterns from other cases.
That can feel reassuring, especially if you’re staring at a claim timeline that seems slower than you expected.
However, in Mendota Heights—where many people work in the metro and may have job duties tied to commuting, driving, warehouse/industrial tasks, or customer-facing schedules—two cases that look similar on paper can diverge quickly because the evidence doesn’t match.
AI tools generally can’t properly account for:
- Whether your medical notes clearly connect your symptoms to the work event
- How specific your restrictions are (and whether they match what you can realistically do)
- Whether your wage loss is supported by payroll records and work status updates
- Whether your claim is being treated as accepted, disputed, or delayed
The result is that AI can sometimes produce a number that feels “reasonable” while ignoring the factors that Minnesota insurers actually use when negotiating.


