Most AI settlement tools are designed to take basic details—like the injury description, treatment timing, and whether you missed work—and generate a rough range. They typically rely on patterns drawn from past claims and general damage concepts used across the U.S. That can be helpful for understanding which categories might matter, but it cannot truly “see” your case the way an attorney and medical records review can.
In Arkansas, two cases that look similar on the surface can produce very different results once the evidence is reviewed. A rider with consistent documentation and credible witnesses may be valued differently than a rider whose medical timeline is unclear or whose symptoms are disputed. AI tools can’t fully account for those credibility and proof issues, because the tool doesn’t have access to the crash investigation, imaging, treatment notes, or the insurer’s internal reasoning.
It also helps to understand that settlement numbers are rarely fixed. Even when an insurer has its own valuation process, negotiations depend on risk and leverage. If the insurer believes fault is uncertain or the injury impact is well supported, offers often change. If the insurer believes liability defenses are strong or that the injury is less severe, the offer may be lower.


