AI tools can be attractive because they offer structure. You input details (injury type, symptoms, treatment timing) and you get a range. That can help you organize questions for your lawyer.
But in South Elgin injury cases—especially those involving commuting routes and intersection crashes—two people can report the same diagnosis and still have very different evidence. An AI estimate may not account for:
- How clearly your records connect the crash to your neurological symptoms (causation is everything)
- Whether your follow-up care in the weeks after the incident supports continuity
- How adjusters interpret symptom gaps when treatment pauses for reasons unrelated to the injury
- Functional impact evidence (sleep quality, cognitive endurance at work, ability to drive safely, household responsibilities)
In other words, the limitation isn’t just “AI can be wrong.” It’s that a model cannot see the same evidence a legal team evaluates for credibility, timing, and causation under Illinois standards.


