AI-driven settlement estimates generally work from patterns—your inputs get mapped to outcomes seen in other cases. That can be helpful for orientation, but in Camas (and across Clark County), injured workers run into a consistent issue: the insurer’s decision often turns on documentation and timing, not just the diagnosis.
Common ways AI estimates fall short:
- Work restriction specificity: Washington outcomes often track whether your treating provider clearly documents limits (and how those limits relate to your actual job duties).
- Medical timeline consistency: If treatment gaps exist, or if symptoms change without clear chart notes, the file can look less persuasive.
- Whether maximum medical improvement (MMI) is reached: Settlement discussions frequently hinge on stabilization and impairment opinions—not just “how bad it feels.”
- Disputed facts: If the incident is questioned (reporting timing, witness availability, or job duties), the negotiation posture changes.


