Our AI identifies evidence that can impact liability allocation under Connecticut's modified comparative negligence system. Because Connecticut follows the 51% rule where plaintiffs cannot recover if their negligence is greater than the defendants', our system prioritizes finding evidence that keeps plaintiff negligence below this critical threshold while highlighting defendant negligence.

Our system identifies evidence that helps support the Good Faith Certificate required under Connecticut General Statute § 52-190a. We highlight documentation that addresses the specific standard of care, alleged breach, and causation elements needed for the certificate, helping attorneys and their consulting healthcare providers build stronger cases that can survive dismissal motions.

Our AI analyzes medical records to identify key evidence relevant to Form 36 proceedings in Connecticut workers' compensation cases. We highlight documentation that can support or challenge an employer's attempt to discontinue benefits, which is critical given Connecticut's unique procedural requirements for contesting benefit termination.

Our AI helps identify the specific medical specialty and board certification details within medical records to ensure compliance with Connecticut's strict "similar healthcare provider" requirements for expert testimony under Connecticut General Statute § 52-184c. The system flags subspecialty issues and practice patterns that may impact expert qualification requirements, helping you identify appropriate experts who meet Connecticut's statutory standard.