Today’s eDiscovery providers may benefit from the lessons learned in the creation of the Sgt. Pepper’s Lonely Hearts Club Band album by creating a concept for branding and packaging their offerings within that brand in a connected, theme-based way that represents the offerings’ promise and capability in a way that is easy to understand and remember.
According to Johannes Stiehler, CEO of ayfie Group AS, “This acquisition is a perfect fit for us because it will both extend our reach in one of our core geographies and strengthen our competence center in Oslo. By bringing together Haive’s and ayfie’s customer bases and market insights, we can deliver even more relevant solutions to both our clients.”
Given the chilling effect of COVID on the business of eDiscovery in 2020, many individuals and organizations are interested in the impact of current pandemeconomic conditions on essential audit, investigation, and litigation drivers for legal discovery. One of those drivers is the need for eDiscovery support in FTC and DOJ Second Request investigations. As Second Requests are driven from HSR Act mandated merger transaction reviews, the following HSR Act filing information and comparisons may be helpful for understanding current trends and potential trajectories driving the need for Second Requests.
“Integro and Innovative Discovery’s services and solutions are highly complementary. Our respective customers will be able to take advantage of greatly expanded skillsets and service offerings now that two of the most respected companies in the industry have joined forces,” noted Scott Burt, CEO of Integro, in today’s press announcement.
According to NIST in its recently published paper on forensic science challenges and the cloud, “Cloud computing has revolutionized the methods by which digital data is stored, processed, and transmitted.” The paper goes on to highlight that, “One of the most daunting new challenges is how to perform digital forensics in various types of cloud computing environments. The challenges associated with conducting forensics in different cloud deployment models, which may cross geographic or legal boundaries, have become an issue.” The complete paper, NIST Cloud Computing Forensic Science Challenges, published in August of 2020, aggregates, categorizes, and discusses the forensics challenges faced by experts when responding to incidents that have occurred in a cloud-computing ecosystem.
“Our ExpoCom offers a guaranteed opportunity to renew relationships with far-flung friends and clients and to create new meaningful connections and brand awareness in the midst of our virtual pandemic world”, said Mary Mack, CISSP, CEO, and chief legal technologist at EDRM. “We are humbled and excited by the immediate support and enthusiasm of our partners and sponsors, like Hal Brooks and HaystackID and Doug Austin. Great partners make the magic happen for the entire community and we are very grateful.”
From predictive coding and artificial intelligence to antitrust investigations and malware, the August 2020 edition of the Five Great Reads on eDiscovery newsletter provides a selection of recent research, reports, and articles to update and inform legal, business, and information technology professionals in the eDiscovery ecosystem.
In this presentation, expert eDiscovery technologists and authorities will share information, insight, and proven best practices for planning and supporting time-sensitive pharmaceutical collections and reviews so Hatch-Waxman requirements are your ally and not your adversary on the road to legal and business success.
According to the press announcement, industry analysts have enthusiastically supported this investment and confirmed the value this will bring to the eDiscovery industry. Ryan O’Leary, Esq., Senior Research Analyst at IDC, shared, “Despite the COVID-19 pandemic, the eDiscovery software market has proved to be crucial to business resiliency and has maintained investment. The investment in Venio comes at an opportune time as corporations look to improve their ECA and processing capabilities to drive savings further down the EDRM.”
Based on recent advances in artificial intelligence (AI), AI systems have become components of high-stakes decision processes that ultimately require a level of trust for user confidence. This draft publication and solicitation for comment from NIST highlights the importance of user trust in considering AI decisions and presents four principles for explainable AI, principles designed to capture a broad set of motivations, reasons, and perspectives regarding outputs from AI systems.