Relativity simplifies and accelerates how the world conducts e-discovery by bringing the entire process and community together in one open, flexible, and connected platform.
Logikcull's mission is to empower legal teams of all sizes & technical capabilities to efficiently organize, search, and collaborate on document collections for discovery & investigations, from anywhere.
Everlaw is a cloud-based litigation platform that enables teams to collaboratively discover, reveal, and act on the information that drives internal investigations and positively impacts legal outcomes.
ZDiscovery's e-discovery software is comprised of a suite of cloud-based applications that offers a state-of the art solution for managing the modern e-discovery process.
Nextpoint patented, on-demand software, built – and running successfully – on cloud architecture for over a decade, automates the complex processes of eDiscovery and case preparation for modern legal teams.
With Encase eDiscovery, effectively manage electronically stored documents in litigation, arbitration, and internal or regulatory investigations significantly reduces the risk and cost associated with e-discovery.
CloudNine empowers legal and business professionals with Simplified eDiscovery Automation software and professional services that simplify litigation, investigations, and audits for law firms and corporations.
Up and running in minutes, Discovery Attender streamlines the process of locating and producing data for eDiscovery requests, compliance, internal investigations and much more. Discovery Attender runs as a stand-alone application on a desktop or server. Standard functionality requires no further agents or services. Secure, find and extract data from a variety of data stores including: Office 365, MS Exchange, PST files, SharePoint, file shares, compressed files, email stored in NSF, MSG and/or EML files, and more.
Predictive Coding is a game changer in eDiscovery. Advanced technology coupled with human expertise and a sound workflow whittles the document collection to its essential parts (relevant documents or issues), predictively coding relevant documents and issues in a collection.