AI tools usually generate a range based on simplified inputs (injury severity, age, care needs). In real Schenectady claims, the story is more specific:
- Causation details: Was the injury immediate after a crash or discovered later during follow-up? In upstate New York, delays between the incident and diagnostic findings can become a major dispute.
- Functional severity: Insurers don’t just look at diagnosis labels—they look at documented limitations (transfers, ambulation, bowel/bladder functioning, skin risk, respiratory concerns).
- The “proof gap”: AI can’t verify whether clinicians measured impairment consistently or whether therapy and assistive device recommendations were clearly documented.
That’s why an AI estimate can be a starting point for questions—not a prediction of what a carrier will offer.


