AI-based calculators are built to process inputs—symptoms, diagnosis, treatment dates, and injury severity—and then output a rough damages range.
In Kingsland, that can be especially misleading when key facts don’t fit neatly into a form, such as:
- Gaps in follow-up care after a hospital or urgent care visit (common when people are traveling, working shifts, or coordinating family transportation)
- Escalation delays—for example, when a condition worsens and a patient returns after trying home care or waiting for an appointment
- Pre-existing conditions that complicate causation questions (Georgia cases typically require proof that the negligence caused the worsening, not just that harm occurred)
AI tools also can’t “read” the medical record the way experts and litigators do. They can’t weigh credibility, resolve contradictions, or explain why one clinical pathway was unreasonable compared to the accepted standard of care.


