AI tools typically generate a range by matching your inputs (injury level, severity, age, and treatment timing) to patterns drawn from prior cases. That can make the output feel intuitive—catastrophic injuries often lead to large future medical needs, and compensation frequently reflects those long-term costs.
In Altoona, where people may be injured during commutes along US and PA routes, in work zones, or while traveling between appointments and caregiving responsibilities, the “calculator logic” can seem plausible at first glance.
But here’s the issue: a tool can’t verify what your doctors documented, what imaging showed, how your function has changed, or what your life-care plan actually requires.


