AI tools typically work by using limited inputs—like injury level, age, and broad assumptions about future care—to produce a range. That can be useful if you’re trying to understand the categories of damages.
However, Grayslake cases often hinge on details that AI tools can’t truly see, such as:
- How the incident occurred on Illinois roads (impact angle, speed evidence, braking/visibility conditions)
- Whether symptoms were immediate or delayed and how that timeline is documented
- Functional testing results that show what you can and can’t do right now
- Care needs tied to real routines in a suburban home environment (transfers, mobility equipment, bowel/bladder management, and caregiver availability)
In other words: an AI estimate can be a starting point, but it’s not a substitute for building the evidentiary record that insurers expect in catastrophic injury claims.


