AI estimates often work from simplified inputs—injury severity, treatment length, bills, and generic categories of harm. That can be useful as a starting point, but Desert Hot Springs cases frequently involve real-world factors that don’t fit neatly into a form:
- Care timelines are complicated: symptoms may worsen after discharge, during travel, or while coordinating follow-up appointments.
- Work disruptions vary: some people miss shifts tied to hospitality, caregiving, or seasonal employment—income proof isn’t always straightforward.
- Tourism and transportation constraints: if you were receiving care while managing driving/commuting realities, documentation of restrictions and functional limits becomes especially important.
An AI tool can’t “see” the difference between a complication that was inevitable and one that should have been caught earlier through appropriate monitoring, documentation, or escalation.


