AI tools are built to respond to inputs. You enter details—what happened, what injuries followed, how long recovery took—and the program returns a range.
That can help you understand the categories that usually affect settlement discussions, such as:
- past medical expenses
- future medical needs
- lost income
- non-economic harm (pain, limitations, emotional impact)
But the part that often goes wrong is the context. Medical negligence is not just “what injury occurred.” It’s whether the provider’s conduct fell below the applicable standard of care and whether that lapse caused the harm.
An AI model can’t reliably read the chart like a medical expert can, interpret timelines, or evaluate whether an earlier intervention would likely have changed the outcome.


