AI tools usually work by taking the information you enter and applying simplified assumptions to generate a potential range. The problem is that real medical negligence claims are rarely driven by the same factors an algorithm can reliably measure.
In North Carolina, case strength often turns on evidence that doesn’t fit neatly into a form, such as:
- Whether the provider’s documentation supports the timeline (symptoms, assessment, escalation, and follow-up)
- Whether the care met the applicable standard for the circumstances
- Whether experts can connect the alleged breach to the injury with credible medical reasoning
When these elements are weak—or when records are incomplete—AI estimates can look “reasonable” while being far off from what the defense will accept.


