Most AI tools are built to estimate value using simplified inputs. That can be helpful when you’re trying to understand categories of damages, but it often falls short in SCI cases because the biggest drivers of value aren’t just the diagnosis—they’re the function changes and the documented life-care needs.
In San Pablo, claims frequently turn on evidence tied to day-to-day conditions: traffic patterns that affect crash severity, visibility at intersections, lighting and signage, and how quickly emergency care was delivered. Those details influence causation and credibility—things an AI model generally can’t evaluate from a few answers.
Key takeaway: Treat AI outputs as a rough prompt, not a prediction of what you’ll recover.


