Most AI tools try to translate a diagnosis into a projected value. That can be helpful for understanding categories of damages, but it usually falls short in two ways:
- It can’t review your imaging, neurological findings, and functional testing. Spinal cord injuries vary dramatically even when the label sounds similar.
- It doesn’t know what your evidence looks like. In Celina, liability can hinge on details like traffic-control conditions, driver statements, witness availability, and whether critical information was preserved early.
Even when an AI tool produces a range, insurers may still challenge value by disputing causation (what caused the injury), severity (how disabling it is now), or future care needs (what you’ll require long-term).


