Most AI tools present a ballpark range rather than a definitive settlement figure. They generally look at a handful of factors that often correlate with value in past cases: severity of impairment, whether the injury is complete or incomplete, age, and sometimes the type of treatment and care required. Some tools also attempt to model future costs, such as rehabilitation and lifetime assistance, using simplified assumptions.
The most important thing to understand is that the tool’s output is only as accurate as the inputs you provide. If your injury level, functional limitations, or care needs are guessed rather than supported by medical documentation, the estimate can drift far from what your case could actually support. In a spinal cord injury claim, small differences in neurological function and documented complications can lead to very different valuations.
South Dakota’s statewide reality also affects how cases develop. Many residents live far from major medical centers, and the evidence of treatment and follow-up may be spread across providers. That can make it harder for any automated model to “see” the full record. A lawyer’s job is to assemble the medical timeline, confirm causation, and translate clinical findings into damages the law recognizes.


