Most AI estimators work by asking for details (crash type, injury description, treatment timeline, work impact) and then generating a rough range based on patterns from past cases.
What they typically can’t do:
- Confirm liability—who caused the crash—based on the evidence available in your incident
- Verify whether your treatment is medically supported and consistent with the mechanism of injury
- Account for disputes that are common in real Minnesota claims (like comparative fault arguments or challenges to causation)
What it can do:
- Help you identify which facts matter most to your claim
- Show how changes in treatment length, documented symptoms, or wage loss can affect a rough valuation
In other words, use an AI estimate as a starting point, not a settlement promise.


