Based on research and tracking by ComplexDiscovery, this non-comprehensive planning list highlighting selected eDiscovery-related events, conferences, and meetings may be beneficial for individuals and organizations in the eDiscovery ecosystem evaluating sponsorship, support, and attendance plans for 2022.
Companies poring over high-stakes investigations and litigation now have immediate access to a powerful new service to assist in identifying and analyzing digital clues from mobile devices through HaystackID’s Mobile Elite Discovery and Analysis Lab (MEDAL). In this on-demand educational presentation, digital forensics experts John Wilson and Rene Novoa share considerations for full-file system and physical extractions from both Android and iOS devices with HaystackID’s MEDAL service.
According to David Cohen, partner, Reed Smith LLP, and chair of EDRM’s project trustees, “There is so much hype about the use of AI in the legal field and whether it may even replace human lawyers. Many legal professionals, however, don’t really understand AI and its practical applications. This paper provides a concise and understandable introduction to AI, its current and future applications in litigation discovery and related ethical considerations.”
In the fall of 2021, 67 eDiscovery Business Confidence Survey participants chose to answer at least one of the optional business operational metric survey questions in the quarterly survey. 47.0% of respondents reported increasing Monthly Recurring Revenue (MRR). This is the highest percentage of respondents reporting MRR as increasing since the introduction of operational metric questions into the business confidence survey in the winter of 2019.
According to Brad Harris, VP of Product at Hanzo, “Preserving data in Slack gives enterprise legal teams the flexibility they need to balance risk and cost by limiting the copies of data. We take an approach that always seeks to empower the customer to control the amount of data they collect and reuse it across matters once collected which limits exposure from overcollection and redundant data.”
As highlighted in the September 28, 2021, blog post “Making the Second Request Process Both More Streamlined and More Rigorous During this Unprecedented Merger Wave” by the new director of the Bureau of Competition Holly Vedova, the FTC has been anticipating publishing a revision to the Model Second Request. The latest revision is now available for consideration and use by business, legal, and eDiscovery professionals involved in potential or actual Second Request investigations.
Since January 2016, 2,595 individual responses to twenty-four quarterly eDiscovery Business Confidence surveys have been received from cybersecurity, information governance, and legal discovery professionals across the eDiscovery ecosystem. These nonscientific quarterly surveys are designed to provide insight into the business confidence level of individuals working in the field of eDiscovery supporting cyber, data, and legal discovery tasks. 73 respondents shared their strongly optimistic opinions as part of the most recent survey.
Just as bloodletting came to be considered unreasonable in the face of mounting scientific evidence, so too should certain common eDiscovery practices. According to information retrieval experts Maura Grossman, J.D., Ph.D., and Gordon Cormack, Ph.D., this situation will end only when eDiscovery technologies and tools are subject to testing using the methods of information retrieval.
According to Ken Basore, GM Enterprise Solutions at Cellebrite, “Corporate investigators are under serious pressure, now having to face the additional challenge of sourcing data to support cases from a geographically scattered hybrid workforce, who are using more devices and messaging services than ever before for professional communications. Today’s announcement underscores the strategic importance of Cellebrite’s cloud capabilities and our commitment to ensure enterprise investigators can adapt to a hybrid workforce.”
According to Brad Harris, VP of Product at Hanzo, “This new feature is Hanzo’s first entry into visual analytics born from the work we did with The Sustainable Innovation Fund with Innovate UK grant. We’ve been building models to take complex data sets and extract value and meaning with visual context. When you have massive amounts of data, results in a simple grid view are tough to parse through to gain meaningful insights. From this foundational work, we’re looking forward to adding toolsets to help enterprises gain more intelligence about the content of their data, whether it’s PII or sentiment analysis.”