QDiscovery is a premier provider of electronic data and document management solutions for law firms and corporate legal departments throughout the United States. Our leadership team and staff of life long electronic discovery specialists are ready and willing to become valued members of your case team. QDiscovery will treat your project as if it was our own.
E-mail threading is an advanced database review tool for finding and grouping related e-mails. It isn’t a filtering or culling tool to remove records from the review set, but rather an organizational tool. It saves review time and promotes review efficiency by contextualizing messages and enabling batch coding. QDiscovery’s hosted Viewpoint databases include e-mail thread analysis at no additional cost.
New London, Conn. – Nov. 11, 2014 – QDiscovery LLC, a premier provider of electronic discovery and forensic technology services, today announced that its managing partner, Brett Crist, will speak at the Defense Trial Counsel of Indiana’s 21st Annual Conference and Meeting.
The DTCI conference, scheduled for November 20-21, provides highly relevant and timely educational opportunities for Indiana lawyers who defend clients in civil litigation. Presentations cover a wide range of topics including trial tactics, appellate court arguments, litigation ethics and mediation.
New London, Conn. – Oct. 16, 2014 – QDiscovery LLC, a premier provider of electronic discovery and forensic technology services, today announced that its General Counsel Helen Geib will present at the monthly meeting of the Connecticut Chapter of Women in e-Discovery on Oct. 20. The luncheon presentation, which will be hosted by Axinn, Veltrop & Harkrider LLP, will focus on redefining the concepts of early case assessment (ECA) and early data assessment (EDA).
ECA and EDA often mean many different things to many different people – creating muddy definitions for the terms as well as devalued concepts. However, when defined and used properly, ECA and EDA can address the growing need of attorneys to gain greater insight into large sets of data while also controlling costs.