AI tools typically generate a range based on limited inputs—diagnosis label, severity category, age, and a few assumed care needs. That’s not the same thing as a valuation built from:
- your actual neurological findings (not just a screenshot of a diagnosis)
- your medical record timeline (especially the link between the incident and symptoms)
- the life-care needs that often drive spinal injury damages
In Big Spring, many serious injuries arise from situations where documentation can be messy or incomplete—like multi-vehicle crashes, industrial job sites, or events that involve multiple responders. If the record is incomplete early on, AI estimates can drift high or low simply because the inputs don’t match the evidence.


