AI-based tools typically use simplified inputs—injury severity, length of recovery, medical bills, and sometimes general categories like pain and suffering. That can feel reassuring when you’re dealing with ongoing treatment, missed work, or uncertainty about the future.
But a Michigan malpractice case usually depends on proof that’s harder to automate:
- Standard of care: whether the provider’s conduct matched what Michigan medical professionals would reasonably do in the same situation.
- Causation: whether the negligence—not the underlying condition—caused the harm.
- Damages supported by records: which expenses and limitations are documented well enough to be persuasive.
When an AI tool doesn’t “see” those record-based facts, the result can be too high, too low, or simply not aligned with how insurers and courts evaluate claims.


