AI tools typically work by taking your inputs (injury type, treatment course, medical costs, time missed from work) and producing a range. That can feel helpful when you’re trying to understand whether you’re “looking at” a minor complication or something more serious.
In New York, however, the value of a claim turns on whether the record can support (1) negligence, (2) causation, and (3) damages—and those elements are proven through documents and expert review. An AI estimate usually can’t see the details that matter in real cases, such as:
- what clinicians documented (or failed to document) at key moments,
- whether the care deviated from the accepted standard,
- whether the harm was actually caused by the alleged negligence, rather than an underlying condition,
- how consistently the medical story matches the billing timeline.
Bottom line: treat AI as an educational prompt, not a forecast.


