AI tools can be helpful for organizing questions, but they often fall apart when the facts are messy—like they frequently are after real-world incidents in Aurora.
Common local complications include:
- Crash documentation gaps after fast-moving roadway incidents (timing, witness availability, and reporting delays)
- Construction-related changes to traffic flow that affect fault arguments
- Multiple-impact collisions where more than one event could be blamed for symptoms
- Symptom overlap (headaches, dizziness, sleep disruption, concentration issues) that insurers may try to attribute to something else
An AI calculator can’t verify whether your medical records connect your symptoms to the incident, and it can’t evaluate how an Illinois insurer typically challenges causation when objective findings are limited.
So instead of asking, “What number should I receive?” the better question is: “What evidence will make my claim persuasive?”


