AI tools estimate value by using simplified assumptions. In real claims—especially those involving misdiagnosis, medication issues, delayed treatment, or surgical complications—value depends on details that a form can’t fully capture.
For example, in Ohio, insurance carriers and defense teams commonly focus on:
- Whether the care fell below the Ohio standard of care (what a reasonably careful provider would do under similar circumstances)
- Whether the provider’s conduct caused the specific harm (causation is usually the hardest part to prove)
- Whether damages are supported by records (medical documentation matters more than what “seems likely”)
An AI output can’t weigh expert credibility, interpret medical reasoning, or resolve gaps in the chart. It may point you in the direction of what categories could apply, but it cannot replace a record-based evaluation.


