AI tools can be useful for organizing information, but they often miss the details that matter most in injury claims from our area, such as:
- Commute-related crash narratives (rear-end impacts, sudden braking, lane-change disputes) that shape fault and causation.
- Delayed symptom reporting common after concussions—headaches, dizziness, and cognitive fog may worsen after the initial emergency visit.
- Treatment access and follow-through—whether appointments were completed, what specialists saw, and whether the record shows continuity.
- Functional impact proof—how symptoms changed your ability to work shifts, drive, manage medications, or keep up with household responsibilities.
If those pieces aren’t clearly documented, an AI range can look “confident” while being based on incomplete assumptions.


