Most AI tools for catastrophic injuries produce a “range” based on simplified inputs (injury level, age, and a few general assumptions). For Novato residents, the problem is often that the tool can’t reflect the local reality of the crash and medical timeline.
Examples of how that shows up:
- Commuter-route collisions: Rear-end and multi-car crashes on busy corridors can create competing explanations for what caused the neurological injury, especially if symptoms were delayed.
- Tourism and seasonal travel: Visitors unfamiliar with local roads may contribute to stop-and-go impacts, increasing disputes about fault and speed.
- Gaps in documentation: If you didn’t get immediate neurological evaluation—or if follow-up imaging and functional testing weren’t consistently recorded—an AI model may treat the case like “typical,” even when your record tells a more complex story.
An estimate can be useful as a starting point, but the real valuation in California depends on what your medical providers documented and how convincingly the cause of injury is connected to the incident.


