AI tools typically generate a range based on simplified inputs—injury severity, age, and a few damage categories. That can be useful if you’re trying to understand what usually drives payouts.
But spinal cord injuries are not “one-size-fits-all,” and Muskegon cases often involve factors that don’t fit neatly into an app’s assumptions:
- Local fault disputes: In traffic collisions and property cases, insurers frequently argue alternative causes or partial fault.
- Functional impact varies: Two people with the same general diagnosis can have very different mobility limits, bladder/bowel complications, and skin-risk issues.
- Michigan settlement timing: In many situations, negotiations don’t meaningfully move forward until medical records and prognosis are clearer.
If you treat an AI number like a promise, you may undervalue (or overvalue) what a claim can realistically resolve for.


