AI tools typically work from the information you type in. If you’re dealing with a delayed diagnosis, a surgical complication, or a medication issue, you may not yet know the full extent of injury, the exact causation story, or what future care will actually be recommended.
In real disputes, value depends on proof—especially proof that’s often harder to capture in a form:
- Causation details: which clinical findings link the provider’s conduct to the harm.
- Timeline consistency: whether the medical record supports “this should have been caught earlier” or “this complication was avoidable.”
- Functional impact: how the injury affects daily life and the ability to work—often crucial for residents who can’t rely on flexible schedules.
In other words, an AI number can’t read the chart the way medical experts and attorneys do. It also can’t account for how Washington courts evaluate evidence and credibility when liability is contested.


