The convergence of cloud engineering and artificial intelligence has revolutionized e-Discovery processes in legal and scientific domains. Organizations are transitioning from traditional on-premise systems to cloud-native architectures, leveraging microservices, serverless computing, and event-driven processing for enhanced efficiency. The integration of AI capabilities with human expertise has transformed document review workflows, while robust cloud infrastructure ensures security and compliance. Multi-cloud strategies and edge computing advancements are shaping the future of e-Discovery, enabling improved performance, global collaboration, and regulatory compliance across jurisdictions. This technological evolution enables organizations to process and analyze vast amounts of electronically stored information with unprecedented speed and accuracy. The implementation of sophisticated message queuing systems and stream processing capabilities facilitates real-time data analysis and pattern detection, while maintaining the flexibility to adapt to changing regulatory requirements. These advancements, coupled with comprehensive security measures and audit capabilities, position organizations to effectively manage the growing complexity of electronic discovery in modern legal and scientific environments.
Keywords: Human-AI collaboration, Microservices architecture, cloud-native e-discovery, edge computing, multi-cloud integration
