AI tools often generate a range by using simplified inputs like injury severity, treatment duration, and—sometimes—reported pain or loss of function. That can feel reassuring when you just want a number.
The problem is that medical malpractice disputes typically turn on details that don’t fit neatly into a form:
- Causation: whether the provider’s conduct actually caused the harm, not just that the harm happened during care.
- Standard of care: whether the response matched what a reasonably careful provider would do in the same circumstances.
- Documentation quality: what the chart shows about timing, decisions, follow-up, and the medical reasoning behind them.
In other words, an AI estimate may forecast “categories,” but it can’t confirm the evidence needed to make those categories persuasive to a court or insurer.


