AI tools typically generate a rough range based on generalized inputs (injury severity, age, and a few other variables). That can be useful as a starting point—but spinal cord injuries in real life don’t follow “average” patterns.
In Bridgeton, the facts that most affect value are often the facts an AI tool can’t see, such as:
- Whether the injury was traumatic and immediate versus symptoms developing later
- The presence of complications that can change long-term care needs (for example, mobility decline, pressure injury risk, or respiratory concerns)
- Whether functional limitations are documented with objective tests and consistent medical notes
- How strongly liability evidence supports fault (police reports, witness statements, dashcam/video, inspection records)
When those elements are missing or simplified, AI outputs can overestimate or underestimate what a claim is actually worth under Missouri law and local negotiation practices.


