Many AI tools use your inputs (injury type, dates, treatment, and work limitations) to generate a broad range. That can feel helpful—until you realize what the tool can’t verify.
In Prior Lake cases, the missing pieces are often practical and document-driven, such as:
- Whether the injury was reported consistently after it happened (timing matters when insurers question credibility)
- How work restrictions were described by your treating provider (vague notes can undervalue a claim)
- Whether wage loss is supported by records that match your actual schedule
- How your job duties compare to what you can do now (especially for roles with physical demands)
An AI estimate doesn’t know how your file will read when it’s reviewed alongside Minnesota procedures, medical records, and the insurer’s likely defenses.


