October 2022 - eDiscovery Software | eDiscovery Collection Software | Pinpoint Labs

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Products Overview
- Software
- Products Comparison
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Partners
- Partner Network
- Become a Partner
Knowledge
Contact

Pinpoint Labs Introduces Harvester Server Enterprise to Transform How Companies Manage eDiscovery

by Zakir Shah | Oct 11, 2022 | Press Release

Major software release provides functionality for user and job management, cloud collections, and enhanced agents With the surge of remote workers globally, organizations are faced with new and increased eDiscovery collection challenges. More robust agent software,...

HaystackID’s John Wilson Leverages Harvester Capabilities for Data-Intensive eDiscovery in 49 Countries

HaystackID’s John Wilson Leverages Harvester Capabilities for Data-Intensive eDiscovery in 49 Countries

by admin-jon | Oct 7, 2022 | Blog, Case Studies

Read this eDiscovery collection case study to learn how HaystackID utilized Harvester to: The ability of a software solution to script a profile and modify to run 30 to 40 collections was an absolute necessity Feature up to 38 terabytes per hour of data assessment...

Ellwood Evidence Saves More Than $200K While Elevating Compliance Capabilities

Ellwood Evidence Saves More Than $200K While Elevating Compliance Capabilities

by admin-jon | Oct 7, 2022 | Blog, Case Studies

Read this case study to learn how Ellwood Evidence utilized Harvester to: Monitor a database between 300-400 terabytes Process roughly 40 gigs of data per hour to quickly determine damage Generate a dtSearch index automatically for better quality Run hundreds of...

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Pinpoint Labs delivers cutting-edge on-premises and cloud-based forensic and eDiscovery solutions, streamlining the discovery process for legal teams with robust controls and reporting while enabling developers to concentrate on innovation.

Recent Posts

Exploring iOS 18: Implications for eDiscovery and Digital Forensics Collections
Pinpoint Labs and Purpose Legal Partner to Enhance eDiscovery for Clients
Transforming Mobile Data Collection in eDiscovery Processes

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