According to Exterro Founder and CEO Bobby Balachandran, “Exterro’s approach to legal technology is based on the premise that defensible, smart data management utilizing the latest technology, including AI, is the most effective way to reduce risk end-to-end across the enterprise. Exterro’s Review platform is ideal for managed services providers and law firms that are looking for more efficient, faster ways to manage discovery across multiple clients and multiple matters.”
According to Ralph Nickl, CEO and co-founder of Canopy, “Until recently, data protection regulations have outpaced technology and processes. Our software enables people to significantly expedite the assessment of compromised data following a security incident so that, in the event of a breach, they can respond within required timeframes and help minimize harm by notifying affected individuals faster.”
Developed based on the European Union Agency for Cybersecurity (ENISA) framework for artificial intelligence lifecycle stages and modified through the lens of the Electronic Discovery Reference Model (EDRM), the HaystackID Cyber Discovery Framework defines, depicts, and discusses a strategic framework that may be useful for understanding and applying the discipline of data and legal discovery in support of cybersecurity-centric challenges.
According to Commissioner for Internal Market, Thierry Breton, “AI is a means, not an end. It has been around for decades but has reached new capacities fueled by computing power. This offers immense potential in areas as diverse as health, transport, energy, agriculture, tourism or cyber security. It also presents a number of risks. Today’s proposals aim to strengthen Europe’s position as a global hub of excellence in AI from the lab to the market, ensure that AI in Europe respects our values and rules, and harness the potential of AI for industrial use.”
Cyber Discovery can be defined as the application of a combination of data discovery and legal discovery approaches to enable the exploration of patterns, trends, and relationships within unstructured and structured data with the objective of uncovering insight and intelligence to proactively or reactively respond to cybersecurity-centric challenges. The presented definition and framework, based on high-level artificial intelligence lifecycle stages as developed by the European Union Agency for Cybersecurity (ENISA) and modified through the lens of traditional eDiscovery planning and practices grounded within the Electronic Discovery Reference Model (EDRM), represents one potential methodology for describing and framing the stages and tasks of cyber discovery.
Artificial Intelligence (AI) is influencing people’s everyday lives and playing a key role in digital transformation through its automated decision-making capabilities. The benefits of this emerging technology are significant, but so are the concerns. In this recent report, The EU Agency for Cybersecurity (ENISA) warns that AI may open new avenues in manipulation and attack methods, as well as new privacy and data protection challenges.
According to Dave Deppe, president of UnitedLex, “To fill the void in preexisting legal technology, UnitedLex has developed a significant library of custom-tailored AI solutions for our clients based on their industry, types of litigation, investigations and regulatory demands. Combining our 13 years of development in Questio and Vantage with a powerful suite of technology assembled by Reveal, we will accelerate the expansion of the digital solutions we deliver to our clients.”
According to Wendell Jisa, founder and CEO of Reveal, “This solution confirms that a combination of AI technology and human legal expertise can solve complex issues such as cartel activity detection. Our platform allows DLA Piper’s Aiscension to build powerful AI models to meet their client’s needs. Aiscension will apply these AI models to future cases. Our partnership with DLA Piper allows lawyers to work hand-in-hand with data scientists – continuing Reveal’s mission to further the impact of automation in the practice of law.”
Published originally on Independence Day in Estonia, the vision and concept paper “#KrattAI: The Next Stage of Digital Public Services in #eEstonia” highlights one country’s practical vision for how public services should digitally work in the age of artificial intelligence. Released by the Republic of Estonia GCIO Office and authored by the Government CIO, CDO, and CTO, the paper presents commentary and considerations for the problems, business challenges, and technological challenges involved integrating AI into public services. The vision and concepts shared may be useful for data discovery and legal discovery professionals as they consider plans, projects, and programs relating to the practical application of AI in their infrastructures and offerings.
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.