AI-Enhanced Online Dispute Resolution for Family Disputes: Examining Global Trends, Models, Mechanisms, and Ethical Challenges in Pakistan

Abstract

The integration of Artificial Intelligence (AI) into Online Dispute Resolution (ODR) presents a transformative opportunity for addressing family conflicts in Pakistan, where traditional litigation remains slow, costly, and overburdened. This paper explores AI-enhanced ODR models, mechanisms, and ethical challenges, contextualizing them within global trends and Pakistan’s evolving legal landscape. The study examines key ODR approaches—online negotiation, mediation, and arbitration—alongside AI-driven tools such as game theory-based platforms and DIY separation systems. It evaluates the Lodder-Zeleznikow three-step model for intelligent dispute resolution, emphasizing information gathering, dialogue facilitation, decision analysis, and adaptive recursive processes. Globally, jurisdictions like the U.S., Canada, Europe, and Australia have pioneered AI-ODR adoption in family disputes, offering valuable insights for Pakistan. Despite recent advancements, including Supreme Court endorsements of virtual testimony and AI’s potential to reduce judicial inefficiencies, Pakistan’s ODR framework remains underdeveloped. Ethical concerns, including transparency, bias, and data privacy, further complicate AI-ODR integration. The paper concludes with recommendations for legal and technological reforms, advocating for E-filing systems, virtual courts, and AI-powered case management to enhance accessibility, efficiency, and fairness in resolving family disputes. By aligning with global best practices while addressing local challenges, Pakistan can harness AI-ODR to modernize its justice system and mitigate systemic delays.