“Legal frameworks must evolve to turn disputes into sustainable solutions.” In India, land disputes significantly hinder sustainable development, exacerbating socio-economic disparities and contributing to social unrest. This paper critically examines the intersection of land law, real estate conflicts, and the efficacy of Alternative Dispute Resolution (ADR) mechanisms. The methodology involves a comprehensive review of existing literature, case studies, legal frameworks and quantitative analysis of historical land dispute data to assess the efficacy of existing ADR frameworks.  The study introduces two innovative approaches: a Sustainable Land Certification (SLC) system and AI-driven predictive analysis. The SLC system incentivizes landowners to engage in ADR by offering benefits such as tax reductions and subsidies for properties resolved through sustainable practices, fostering peaceful conflict resolution aligned with environmental and economic goals. Simultaneously, AI-driven predictive analysis utilizes machine learning to forecast potential disputes by evaluating historical data and socio-cultural factors, enabling proactive mediation before conflicts escalate. Furthermore, the paper explores community-led dispute resolution, technology-enhanced mediation, and international best practices, advocating for policy reforms that support equitable participation and protect the land rights of marginalized groups. By rethinking ADR strategies in the context of real estate conflicts, ultimately this research contributes to developing frameworks that promote social justice, environmental sustainability, and enduring resolutions in alignment with Sustainable Development Goals (SDGs).