Many AI tools generate a single range based on inputs like injury severity or age. The problem is that spinal cord injury cases are rarely “plug-and-play,” especially when the incident involves:
- Commutes and highway travel in the Greenville–Anderson corridor (rear-end collisions, sudden stops, and multi-vehicle crashes)
- Residential roadway and driveway impacts where speed, sightlines, and maintenance issues may be contested
- Construction and delivery activity near homes and commercial entrances, where fault can involve more than one party
In real negotiations, insurers don’t just look at diagnosis codes. They look at what caused the injury, what the medical record shows at each stage, and how your functional limits translate into future care.
An AI estimate can’t reliably account for the evidence your case depends on—like contemporaneous neurological findings, imaging timelines, or whether your documented symptoms match the incident mechanics.


