AI tools often produce a number or a range by using inputs like injury severity, age, and general care needs. That can be useful when you’re trying to understand the “shape” of damages.
The problem is that Twentynine Palms cases are fact-driven. A settlement value can swing dramatically based on details such as:
- The exact neurological level and whether the injury is complete or incomplete
- Evidence of immediate symptoms versus delayed discovery
- Whether complications require higher levels of care later (for example, skin risks, mobility breakdowns, or respiratory concerns)
- Whether medical providers document functional limitations in a way insurers can’t ignore
AI models can’t review your MRI reports, neurological testing, or treating specialist notes. They also can’t weigh what California juries and adjusters respond to—like consistent causation evidence and credible projections of future care.


