The increasing complexity of cross-border real estate transactions, driven by regulatory heterogeneity, data privacy requirements, and multi-party coordination, necessitates the development of more intelligent and automated transactional frameworks. This study proposes an AI-driven smart contract architecture that integrates artificial intelligence with blockchain technology to enable automated, secure, and compliance-aware real estate transactions across multiple jurisdictions. The framework incorporates natural language processing for regulatory interpretation, hybrid machine learning models for compliance validation, and decentralized smart contract execution to ensure transparency, immutability, and real-time enforcement of contractual obligations. A multi-layer system architecture is developed, encompassing data acquisition, preprocessing, AI-based compliance modeling, and blockchain integration. The performance of the proposed system is evaluated using key metrics, including compliance accuracy, transaction latency, cost efficiency, and risk mitigation. Empirical results demonstrate that the AI-driven smart contract system achieves superior performance, with compliance accuracy exceeding 95% across diverse regulatory environments, transaction latency reduced to near real-time levels, and cost savings approaching 70% compared to traditional frameworks. Additionally, the system significantly lowers risk exposure through predictive analytics and anomaly detection mechanisms. Comparative analysis reveals that while rule-based smart contracts improve efficiency over traditional systems, they lack adaptability to evolving legal requirements, a limitation effectively addressed by the proposed AI-driven approach. Despite these advantages, challenges related to scalability, interoperability, and regulatory alignment are identified, highlighting areas for further research and development. The study contributes a novel compliance-aware smart contract framework and provides a comprehensive evaluation model, offering practical and scalable solutions for modernizing cross-border real estate transactions in a data-driven and regulatory-compliant manner.