AI tools usually work by taking a few inputs (injury type, treatment timeline, reported damages) and producing a rough range. That can be useful for education.
What it can’t do is evaluate the specific evidence that tends to control outcomes in Georgia malpractice disputes, such as:
- Whether the chart supports the timeline (what was known, when it was documented, and what happened next)
- Whether causation is medically defensible (i.e., the negligence theory matches the injury pattern)
- Whether the care was truly connected to the outcome versus unrelated complications
- Whether future care projections are supported by records rather than assumptions
In other words: an AI estimate may tell you what categories of harm might exist, but it usually can’t tell you whether those categories are provable.


