Our AI identifies evidence that can impact liability allocation under Arizona's modified comparative fault system. Because Arizona follows the 50% bar rule where plaintiffs cannot recover if they are 50% or more at fault, our system prioritizes finding evidence that keeps plaintiffs below this critical threshold while maximizing the defendant's share of liability.

Our system identifies evidence that helps support the preliminary expert affidavit required under A.R.S. § 12-2603. We highlight documentation that addresses the specific standard of care, alleged breach, and causation elements needed in Arizona medical malpractice cases, helping attorneys prepare stronger preliminary affidavits to survive early dismissal.

Our AI analyzes medical records to identify key evidence supporting Arizona's unique requirements for establishing compensable conditions. We highlight documentation addressing the "arising out of and in the course of employment" standard and identify evidence supporting reopening claims under Arizona's stringent "new, additional or previously undiscovered" condition requirement.

Our AI helps identify the specific medical specialty involved in each case to ensure compliance with Arizona's strict "same specialty" requirements for expert witnesses. The system flags subspecialty issues, board certification details, and practice patterns that may impact expert qualification requirements under A.R.S. § 12-2604, helping you identify appropriate experts.