AI tools typically generate a ballpark range based on inputs like injury severity, age, and care needs. That can be useful when you’re trying to translate a medical reality into a damages conversation.
But in real Anderson claims, insurers don’t value cases based on a diagnosis label alone. They focus on:
- What the crash/workplace incident actually caused (and whether the medical record ties it to the event)
- The functional impact documented in neurological exams and therapy notes
- Whether future care needs are supported by treatment recommendations
- Whether fault is clear or contested (often tied to witness accounts, photos, and scene evidence)
AI may not fully capture those pieces—especially if you’re still gathering records or your treatment plan is evolving.


