AI tools typically work by pattern-matching injuries and outcomes from other files. That can feel helpful—until you realize what they can’t see:
- the exact medical findings in your chart (not just the diagnosis name)
- whether your provider documented work restrictions in a way insurers will accept
- how consistently your treatment aligns with your reported symptoms
- how New York’s statutory benefit structure applies to your specific posture (accepted/contested issues, timing, and impairment evidence)
In Buffalo, the mismatch often shows up in a few common ways. Many injured workers return to work attempts that are affected by real-world constraints—commuting distances, cold-weather mobility, and physically demanding routes—yet their records don’t always reflect how limitations change day-to-day. Insurers may treat gaps in documentation as meaning the condition is improving faster than it is.
An AI estimate can’t account for that nuance.


