AI tools typically generate a number by combining user inputs (injury level, age, “complete vs. incomplete,” and care assumptions) into a generalized damages range. That can be helpful for understanding what categories exist—but it often misses the details that matter in California injury claims.
In practice, insurers evaluate spinal cord injury cases around evidence quality: documented neurologic findings, causation support, and a credible life-care plan. Two people can share a diagnosis and still have very different outcomes based on factors like:
- the severity of motor and sensory impairment
- bowel/bladder involvement and complication risk
- pressure sore history and skin integrity
- respiratory function concerns
- how quickly maximum medical improvement is reached
An AI tool can’t review imaging, EMG/neurologic exams, therapy notes, or the progressions that determine whether future care costs should rise or stabilize.


