After a misdiagnosis, delayed treatment, medication error, or surgical complication, many people want an answer they can act on immediately. AI tools can appear helpful because they generate a range fast.
But in real cases—especially ones involving multiple providers, follow-up delays, or records spread across different facilities—an AI output can miss the two things that most influence value in California:
- Proof of causation (showing the negligence caused the specific harm)
- Evidence of damages (showing the injury’s financial and human impact)
In Clayton, that often means the case turns on documents and timelines: the first visit, what was charted, what should have been ordered, how quickly conditions were escalated, and whether treatment gaps worsened outcomes.


