AI tools are appealing when you’re overwhelmed. You enter details about treatment, symptoms, and outcome, and you receive a range-like number. That can feel empowering—but it can also create false certainty.
In Boise City, common realities that aren’t captured well by generic models include:
- Fast-moving care pathways (urgent care → referral → specialist) where documentation gaps can become central to causation.
- Care coordination issues across systems—what one provider documented, another provider may not have seen.
- Longer-term impacts that show up after you’ve returned to work, school, or day-to-day life—especially when follow-up was delayed or incomplete.
An AI result can’t reliably account for how those Boise-specific “timeline problems” affect liability and damages in a real case.


