AI tools typically use simplified inputs—injury severity, recovery length, bills, and sometimes broad ranges for non-economic harm. That can be helpful for education, but it often doesn’t reflect the real reasons cases gain or lose value.
In Spokane, we frequently see cases where the timeline and coordination of care are crucial:
- Delayed referrals after an ER or urgent care visit
- Follow-up gaps when patients are juggling work schedules, transportation, or childcare
- Complications that unfold over repeat appointments across different clinics or systems
An AI form can’t read the chart the way a medical expert or attorney review does—especially when causation depends on whether a provider’s decisions matched the standard of care in the circumstances.


