AI tools generally work by taking your answers and mapping them to broad categories (medical bills, future care, lost income, and non-economic harm). That can be useful for education, but it often misses the details that decide outcomes in California malpractice claims.
For example, your answers may not reflect:
- Whether the provider documented the diagnostic reasoning (especially relevant after misdiagnosis or delayed diagnosis)
- Whether follow-up instructions were clear and actually carried out
- How quickly symptoms were escalated when a condition worsened
- Whether the injury is consistent with the alleged breach (causation is frequently contested)
In real cases, insurers focus on the record. If your input doesn’t match what the chart shows, the estimate can drift away from reality.


