Most AI tools generate a range by using simplified inputs—injury severity, age, and a few care-related assumptions. That can be a useful starting point, but it commonly breaks down in real spinal injury cases because the most important details aren’t captured well by a generic questionnaire.
In the Canton area, insurers frequently focus on questions like:
- Timing and causation: When did neurological symptoms start, and do the medical records connect them to the incident?
- Pre-existing conditions: Whether the defendant argues a prior condition, fall, or degenerative issue explains the impairment.
- Functional impact: Not just the diagnosis, but what you can (and cannot) do after the injury—transfers, mobility, bowel/bladder function, skin care needs, and safety risks.
AI can’t review the imaging, neurological exams, therapy notes, and life-care planning documentation that typically determine whether a settlement reflects true severity.


