Artificial Intelligence in Matrimonial Dispute Resolution: Mapping the Indian Research Landscape
DOI:
https://doi.org/10.66304/IJGIMR.2026.v1i1.16Keywords:
Artificial Intelligence, Machine Learning, Family Law, Child Custody, Matrimonial DisputeAbstract
The advent of Artificial Intelligence (AI) has ignited transformative possibilities across various domains, including law and dispute resolution. In the context of Indian family courts, where matrimonial disputes such as divorce, child custody, and guardianship often involve prolonged litigation and complex decision-making processes, AI presents both promising opportunities and notable challenges. This comprehensive bibliometric study maps the burgeoning research landscape concerning AI's application within Indian matrimonial law. By analyzing publication trends, author collaborations, institutional involvement, geographical distribution, thematic focuses, and keyword co-occurrences, the study uncovers patterns of scholarly focus, influential contributors, and research gaps. The data indicate a significant upward trajectory in publications since the early 2010s, with an emphasis on technological innovations like machine learning, deep learning, and decision support systems. Prominent authors and institutions demonstrate active engagement, predominantly from India, emphasizing local contextual considerations. Despite the optimism surrounding AI's potential to streamline dispute resolution, ethical, cultural, and legal challenges—such as biases, transparency, and accountability—restrain its immediate widespread adoption. The findings underscore the critical need for interdisciplinary approaches, ethical frameworks, and policy regulations to ensure responsible AI deployment. This study aims to serve as a foundational reference for legal scholars, technologists, policymakers, and practitioners interested in harnessing AI to promote accessible, efficient, and fair matrimonial dispute resolutions within the Indian judicial system.
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