Successful eDiscovery and Compliance relies on good governance
ZL Platform offers a unified data management approach with single instance storage for defensive and precise eDiscovery.
- A massively scalable platform that grows as you grow.
- Compatible with 1,000+ file types and mixed-email deployments across the cloud, on-premises, and hybrid approaches.
Arm your enterprise with legal ammunition
Advanced searches filter and cull through large data sets with any combination of complex searches, such as Boolean logic, wild card expansions, fuzzy logic, proximity rules, and more.
- Accurate export of curated data allows users to confidently hand off data for right-hand eDiscovery.
- Message threading allows reviewers to see documents in context for a comprehensive view.
Win or lose early
ZL Discovery Manager streamlines Early Case Assessments (ECA) by providing advanced search capabilities and analytics functions, giving total control over the left-hand side of EDRM.
- Built-in analytic functionality, such as hit term analysis, provides on-the-fly insights into documents at a case and enterprise level.
- Clients have reported 40% reduction in eDiscovery collection and review times using ZL Platform.
Ensure accountability
Complete audit trails, which track every action taken within your system, allow you to prove chain-of-custody and defensibly manage your eDiscovery and compliance solution.
- ZL Discovery Manager automatically adds new, relevant documents into case preservation without creating additional copies, allowing for seamless future early case assessments.
- Automated legal hold notices, reminders, and questionnaires are sent to key custodians once they are identified in the case.
Premier eDiscovery and Compliance Solution for Large-Scale Enterprises
Enable your legal team to find all relevant documents with true global search
Frequently Asked Questions
What are the main challenges of modern eDiscovery?
Modern eDiscovery is difficult because relevant information is spread across email, file shares, collaboration tools, messaging platforms, and cloud repositories. Large data volumes, fragmented ownership, and inconsistent governance make it harder to find and cull evidence efficiently.
What are chief legal officers most concerned about when it comes to AI in the enterprise?
Chief legal officers are often most concerned about defensibility, auditability, privacy exposure, regulatory risk, and the use of inaccurate or ungoverned data in AI workflows. They also need confidence that AI use aligns with retention, legal hold, investigation, and information governance requirements across the enterprise.
How can enterprises reduce eDiscovery review volume?
Enterprises can reduce review volume by improving search precision, classification, early case assessment, and defensible culling before broad collection and review. Better information governance upstream typically lowers downstream legal cost and review burdens.
How does in-place data management support eDiscovery?
By indexing and analyzing data where it resides, in-place data management enables faster search, legal hold, and case preparation. This reduces the time and cost associated with collecting and processing data for litigation or investigations.
Can you place data on legal hold with in-place data management?
Yes. In-place data management can support legal hold by helping organizations identify and preserve relevant data where it already resides, without requiring broad duplication into a separate system first. This helps legal teams act faster while maintaining stronger control over enterprise data.
