AI tools typically generate a range based on simplified inputs (injury severity, age, and a few assumed care needs). That can be helpful for orientation, but it often misses what makes Auburn cases unique—especially when the record is incomplete or the injury details are still developing.
In real SCI cases, insurers pay close attention to things an AI tool can’t fully see, such as:
- whether the neurological findings match the claimed mechanism of injury
- whether early imaging and documented symptoms support causation
- whether complications emerge (respiratory issues, skin breakdown risk, bowel/bladder complications)
- the credibility and consistency of incident accounts
An AI estimate may be directionally correct, but it can also understate or overstate value if the tool guesses about prognosis, functional limitations, or future care.


