AI tools often work by taking the details you enter (injury type, treatment timeline, medical costs) and applying simplified assumptions. That can create a “range” that seems logical.
The problem is that medical negligence cases don’t live in averages. They live in documentation.
In Eloy, many people first discover a potential issue after a chain of events—an ER visit, referral delays, imaging that takes longer than expected, a medication change that doesn’t go as planned, or a follow-up that gets postponed because life is busy. When that happens, the case can turn on questions a form can’t answer, such as:
- Was the condition progressing when it should have been recognized?
- Do the chart notes show appropriate monitoring and escalation?
- Are the discharge instructions and follow-up plan consistent with the patient’s risk?
- Does the later injury truly match what the earlier negligence would have caused?
A calculator can help you organize questions—but it can’t verify what the medical provider actually knew at the time.


