AI tools typically ask you to describe injury type, treatment dates, and—sometimes—how long recovery took. Those inputs can help you understand categories of harm that may be claimed, like medical bills or lost income.
But AI often struggles with the details that usually decide outcomes in real Illinois cases, such as:
- Gaps created by commuting and referrals (missed follow-ups, delayed imaging, or “wait and see” plans)
- Treatment that happens in multiple settings (urgent care visits, hospital stays, then outpatient care)
- Documentation that’s spread across systems (different facilities, portals, and record formats)
- How quickly symptoms were escalated—a major issue when the harm worsened after an initial appointment
In other words, the tool can’t see what your medical record shows, and it can’t evaluate whether the care team’s decisions were reasonable under the circumstances.


