Many AI tools generate a number (or range) after you enter basic details like injury severity, age, and treatment. The problem is that spinal cord injuries are not “one diagnosis equals one value.” In real cases, valuation depends on documented functional impact and a credible future-care plan.
In Bellflower, that mismatch shows up when the tool doesn’t account for:
- Delayed discovery or evolving symptoms (common when initial ER findings don’t capture the full neurological picture)
- The real-world limits of transfers, mobility, and self-care—not just the initial hospital stay
- California settlement practice, where insurers focus heavily on medical documentation and causation evidence
Instead of treating an AI output as a promise, use it like a worksheet: it can help you identify what evidence you’ll need to prove the life-care and compensation categories that drive value.


