Many AI tools generate a predicted range using simplified inputs (injury severity, age, and general care needs). That may be directionally useful. But Fairview cases often turn on details that generic tools don’t see—especially:
- How the crash happened (lane changes, sudden braking, following distance, intersection timing)
- Speed and impact dynamics on regional routes and commute corridors
- Driver conduct (cell phone use, failure to yield, impairment, or reckless driving)
- Immediate neurological findings documented in the first hours after the event
In other words, the “math” is only part of the story. If the evidence of fault or causation is weak, a predicted value won’t match what insurers are willing to pay.


