Most AI tools build a rough picture of value by combining the information you enter—injury severity, length of recovery, treatment history, and sometimes reported pain and limitations. The output is usually framed as an “estimate” of damages categories.
But in a real Georgia medical negligence case, the settlement discussion is shaped by evidence and procedure, not just injury outcomes. Two people can have the same diagnosis and still experience very different claim values because:
- One chart clearly documents a missed diagnosis or delayed escalation; the other has gaps.
- One provider’s notes support causation; the other leaves questions about what caused the harm.
- One claim is backed by medical experts who explain the standard of care and causation; the other is challenged.
AI can help you organize questions—it can’t replace the evidentiary review that drives a settlement negotiation.


