Most AI tools work by taking limited inputs—like injury severity, length of recovery, and general categories of damages—and producing a broad range. That can be useful for understanding what categories are commonly discussed in claims.
What AI typically can’t do is account for the parts that decide outcomes in real malpractice disputes, such as:
- Whether the provider’s conduct met the Mississippi standard of care for the situation
- Whether the harm was truly caused by the alleged negligence (not a pre-existing condition, complication, or progression that would have happened anyway)
- Whether the medical documentation in the record supports the timeline you’re describing
- Whether expert review is available to explain what should have happened and why
In Canton, those evidence gaps show up quickly when families try to summarize events from memory instead of grounding the story in chart notes, imaging reports, and follow-up documentation.


