Most AI tools treat your answers like inputs into a simplified damage model. For educational purposes, they may suggest ranges based on injury severity, treatment duration, and documented costs.
In real Minnesota cases, however, settlement value depends on proof—particularly:
- What the chart shows about symptoms, test results, and clinical reasoning
- Whether the delay or error changed outcomes (causation)
- How damages are supported by bills, wage documentation, and follow-up recommendations
- Whether experts can explain the standard of care in language a jury (and adjusters) trust
An AI tool generally can’t review the nuances that matter in a case—like whether a provider responded appropriately to red-flag symptoms, whether referrals were made and followed through, or whether discharge instructions were adequate.


