Most AI tools are built to take a few inputs (severity, age, treatment) and generate a rough range. That’s helpful for orientation, but it’s not the same as valuation in an Oregon case.
In Ontario, the biggest gaps usually come from:
- Case-specific medical proof: The difference between “injury exists” and “injury was caused by this incident” depends on imaging, neurological exams, and consistent documentation.
- Local evidence realities: Depending on where the incident happened—parking lots, construction areas, employer premises—what gets recorded (and what doesn’t) can strongly affect liability.
- Timing and stabilization: Insurers often push for early positions before the record fully reflects neurological function and the likely long-term trajectory.
- Care planning assumptions: Spinal injuries frequently involve durable medical equipment, home safety changes, and caregiver needs. AI may use generic averages instead of a life-care plan tailored to your limitations.
The result? An AI number can look confident while being built on assumptions that don’t match your Ontario facts.


