AI tools are usually built to generate a range based on simplified inputs—injury severity, age, and general care needs. That can feel grounding after a crash or workplace accident.
In Grand Rapids, however, serious spinal injuries often occur in fact patterns that are harder for an algorithm to “average out,” such as:
- Fast merges and rear-end collisions on major corridors (where impact timing and braking distance can be disputed)
- Intersection crashes involving turning vehicles and pedestrians/cyclists
- Construction-zone or worksite incidents where safety procedures, training, or equipment inspections become central
Those details matter because insurers don’t just ask, “How severe is the injury?” They ask whether the evidence cleanly ties the accident to your neurological outcome and whether the other side shares responsibility.
Bottom line: an AI estimate can help you understand the categories of damages, but it can’t substitute for the record a Michigan claim must rely on.


