Document Type : Original Article
Authors
1
PhD Candidate in Remote Sensing and GIS, Faculty of Earth Sciences, Center for Remote Sensing and GIS, Shahid Beheshti University,
2
Assistant Professor, Faculty of Civil Engineering, Water and Environment, Shahid Beheshti University
10.22091/ijicl.2026.16067.1253
Abstract
Land in Iran, as a vital resource for economic development and household livelihoods, is a primary focus of legal disputes. However, the traditional system for addressing these claims faces structural challenges (cadastral deficiencies and document conflicts), procedural issues (protracted litigation and the need for physical presence), and capacity constraints. This study, employing an analytical-comparative approach, proposes an integrated Artificial Intelligence - Online Dispute Resolution (AI-ODR) Framework. Inspired by the British Columbia Civil Resolution Tribunal (CRT) Model, its operational structure is localized based on the interaction of three main pillars: 1. The Iranian Registration Organization and Cadastre (for location-based validation), 2.Dispute Resolution Bodies (for intelligent mediation and settlement), and 3.The Judiciary (as the issuer of binding rulings and the supreme supervisor of the entire judicial process). This five-component framework includes self-help tools, online registration and registration validation, intelligent negotiation and mediation, electronic adjudication, and judgment enforcement. The innovation of this model lies in shifting from a sole focus on a single institution to creating a connected value chain in which cadastral data serves as the basis for screening, the Dispute Resolution Council provides the platform for settlement, and the Judiciary guarantees justice and oversees algorithms for bias. Findings indicate that implementing this model, while adhering to legal requirements and under the Judiciary's human supervision, can make access to justice in property cases more democratic and efficient.
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