AI tools typically ask you to enter details like diagnosis, injury severity, length of recovery, and medical costs. The output may include ranges for damages such as past expenses and non-economic harm.
In practice, the “range” can be off for two common reasons:
- Missing causation context. In medical negligence cases, it’s not enough that an outcome was serious. You generally must show that the provider’s failure to meet the accepted standard of care caused (or significantly contributed to) the harm.
- Incomplete medical timelines. In New Jersey, the factual sequence in the chart—what was known, when it was known, and what should have been done next—often becomes the backbone of the claim.
An AI tool can’t read the nuance that doctors and experts read. If the tool doesn’t capture key chart facts (and most forms don’t), the estimate may be either too conservative or too aggressive.


