AI tools generally work from general patterns. They may ask about injury type, treatment length, and work loss, then produce a projected range.
That projection can be misleading when local case facts aren’t captured, such as:
- Intersection and turning conflicts common in suburban corridors (left-turn and yield disputes)
- Commute-related timing—when riders must miss work for treatment, follow-ups, and therapy
- Road surface and visibility issues that show up in seasonal conditions
- Tourism/event traffic surges that can affect driver behavior, witness availability, and traffic camera access
In other words: the numbers an AI model generates are only as good as the story you can support with records.


