AI calculators typically work by asking you to choose inputs (injury severity, age, treatment needs) and then producing a rough range. That can be useful for understanding which categories usually drive value.
In Aurora, however, settlement value often turns on details that an AI tool can’t reliably capture:
- Functional impact documented over time (not just the initial diagnosis)
- Whether causation is consistent with the incident narrative and medical timeline
- Complications that change care needs (mobility, skin integrity, respiratory issues, bowel/bladder management)
- How clearly liability can be supported from the scene evidence available (photos, witness statements, traffic camera recordings, and incident reports)
In other words, the “calculator” number may look precise, but insurers evaluate your claim using the strength of the record—especially when injuries are life-altering.


