(Employing Machine Learning in Analyzing the Procedural Character of Administrative Litigation: A Comparative Study)

Abstract

Amid the accelerating digital transformations worldwide, judicial systems are facing growing challenges that necessitate a fundamental reevaluation of their tools and mechanisms to align with the demands of the digital era. Building on this preemise, the present study examines the emerging role of machine learning techniques in analyzing the procedural nature of administrative lawsuits, within the framework of Iraqi legislation and in comparison with leading international experiences.The significance of this research lies in its attempt to explore how artificial intelligence particularly machine learning can be utilized to expedite administrative litigation procedures and ensure the accurate verification of procedural requirements, thereby strengthening procedural justice and improving the overall quality of judicial performance.The study concludes that integrating machine learning technologies into administrative justice can serve as a valuable instrument for enhancing judicial efficiency, through better case classification, reducing human errors, and supporting judges in analyzing large-scale datasets of judicial precedents. It further emphasizes the necessity of developing the digital infrastructure of the Iraqi judiciary and establishing a comprehensive legal and ethical framework to govern the use of artificial intelligence, while maintaining the central role of the judge. These technologies should function as supportive rather than substitutive tools, ensuring the protection of litigants’ rights and the preservation of the human essence and dignity of justice.