According to the recent overview from HaystackID, by synergistically harnessing the potential of artificial intelligence, the precision of data science, the power of machine learning, and the practicality of expertly trained and managed reviewers, HaystackID Discovery Intelligence delivers insight and intelligence that allows you to reach decision points faster and more economically than previously possible.
According to the announcement, Armatus enables attorneys to maximize the benefits of their existing eDiscovery production and to collaborate with in-room and distributed litigation teams in new and powerful ways, including through the preparation of witnesses in advance of depositions. During the deposition itself, the deposing attorney as well as their in-room and remote team members can read and select real-time transcript content, auto-search eDiscovery production without having any experience with the eDiscovery platform itself, and instantly see relevant documents that help them craft questions.
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.”
A significant factor in the adoption of algorithmic systems for decision-making is their capacity to process large amounts of varied data sets (i.e. big data), which can be paired with machine learning methods in order to infer statistical models directly from the data. The same properties of scale, complexity, and autonomous model inference however are linked to increasing concerns that many of these systems are opaque to the people affected by their use and lack clear explanations for the decisions they make.
This new report titled “Beyond Debiasing: Regulating AI and its inequalities” and commissioned by European Digital Rights (EDRi), an association of civil and human rights organizations from across Europe, outlines the limits of technical debiasing measures as a solution to structural discrimination and inequality through AI systems. It shows the vast impact of AI-based systems on the governance, operations and financial stability of public sector organizations, further embedding the dominance of technology companies.
This report from the US GAO describes an accountability framework for artificial intelligence (AI). The framework is organized around four complementary principles and describes key practices for federal agencies and other entities that are considering and implementing AI systems. Each practice includes a set of questions for entities, auditors, and third-party assessors to consider, along with audit procedures and types of evidence for auditors and third-party assessors to collect.
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.”