AI tools typically work by taking a few inputs—injury severity, age, and a handful of “case factors”—then generating a range that sounds confident.
But spinal cord injuries are highly individualized, and Lakewood cases often hinge on details like:
- Crash dynamics: impact speed, vehicle placement, and whether occupants experienced sudden compression or rotational forces.
- Timeline clarity: when neurological symptoms were first documented versus when they were noticed.
- Functional findings: whether your medical record includes consistent neurological exams, mobility limitations, and care instructions.
When those inputs are missing or simplified, the AI output may drift high or low. In Washington, insurers may use that uncertainty to argue that future care needs are speculative or that causation isn’t fully proven.


