Z Legal Data Resources
A Division of ZNZ Resources
Purpose-Built for the Legal Sector
Unified Data Stack
for the Legal Sector
Law firms and other legal organizations must archive large amounts of data related to their cases and clients, including legal documents, contracts, and correspondence. These records must be maintained for long periods of time to comply with legal and regulatory requirements and must be archived securely to protect client confidentiality.
The ZNZ Unified Data Stack
Leveraging the Ai Data Tool Box and Ai Data Detect Dashboard
Ai Data Detect
As the flagship component of our cutting-edge Ai Data Tool Box, Ai Data Detect is revolutionizing the way organizations leverage their data assets.
At its core, Ai Data Detect is designed to provide rapid visibility and deep insights into the intricate landscape of data stores. By unlocking the untapped potential of data assets, this powerful solution empowers enterprises to gain unparalleled visibility, make informed decisions, and maximize the value of their data.
Advanced Archive +
Packed with advanced features, adaptive hosting, AI-powered efficiency, and seamless integration within the Ai Data Tool Box ecosystem, this powerful tool will empower organizations with precise control over their archived data.
By harnessing the capabilities of Advanced Archive+, organizations will confidently preserve their data, achieve regulatory compliance, and unlock the full potential of their archived information for informed decision-making, collaboration, and innovation.
Data Connect enables organizations to seamlessly capture and preserve data from various sources, including enterprise channels, mobile devices, social media, and collaboration tools. This simplifies compliance with regulatory requirements, facilitates eDiscovery, and ensures the retention of valuable data.
Combined with the other components of the Ai Data Tool Box ecosystem, Data Connect enhances data management capabilities by providing advanced insights, profiling, and automated lifecycle policies for data retention.