MILPITAS, California, November 11, 2025 – ZL Technologies (ZL Tech), a leader in information governance, today announced the launch of the latest version of the ZL Platform, an advancement in data management technology that enables organizations to clean up and manage “unstructured” data while extracting intelligence to create a repository of institutional knowledge.
The ground has completely shifted for large enterprises in recent years, now facing exponential data growth, new requirements for managing it, and directives from senior leadership to implement AI. Over 80% of enterprise data exists in unstructured formats, and according to a recent study by the Association for Intelligent Information Management, 90% of organizations believe their plans to use AI will impact how they manage this data.
Among the most significant barriers preventing enterprises from effectively leveraging AI, 39% cited difficulties in curating and integrating data from disparate storage systems, 31% cited regulatory compliance, and 28% cited scalability with enterprise data volumes.
ZL Tech overcomes these obstacles by streamlining unstructured data curation and unifying each of its governance requirements under one platform, empowering businesses to gain control of documents “in-place”—i.e. without a need for copying data. This process of managing documents “virtually” is paving the way for organizations to leverage their unstructured data with AI.
Virtual data management enables organizations to extract intelligence from massive volumes of unstructured data, while also class managing it for governance requirements such as lifecycle management, privacy, legal eDiscovery, and compliance. ZL Tech ensures data disposition is defensible, meaning lifecycle policies are aligned with each of the governance functions and applied consistently along with the audit trails to prove it.
This approach gives the enterprise access to a practically untapped repository of internal data. The same technology that allows organizations to unify governance functionality under one platform also enables them to search, filter, cull, and export petabytes of internal data. As enterprises seek to leverage their data for AI use cases, the ZL Platform eliminates a key barrier to adoption by ensuring governance obligations are met at scale.
With this new release, companies can expect improved lifecycle tagging and disposition capabilities, wider search functionality, and massive cost savings from ROT data removal, all while maintaining ease of use and seamless integration into existing workflows.
With a 26-year track record of helping enterprises navigate unstructured data management, ZL Tech continues to innovate to address evolving governance requirements. To learn more about the ZL Platform, visit zlti.com or contact us at info@zlti.com.