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The widespread adoption of Internet-connected devices has shifted from a novelty to a necessity in mainstream culture. Internet connected devices or the Internet of Things (IoT) is a network of physical objects — devices, vehicles, appliances — embedded with sensors, software, and network connectivity, so they can collect, exchange, and act on data, often without human intervention.
As a society, we have become more interested in smart products such as smart home devices, phones, and toys that make life more efficient, convenient and entertaining. Yet, use of IoT devices is not without risks. At the end of last year, Ring camera, owned by Amazon, made news headlines after hackers breached the devices. There were numerous accounts of hackers obtaining access to the cameras and taunting and yelling obscenities at children, and threatening adults for bitcoin ransomware through the cameras. As a result of these hacks, Amazon is now facing a class action lawsuit claiming that the Ring camera security vulnerabilities were a result of Amazon’s negligence and that it led to an invasion of privacy. See, John Baker Orange v. Ring LLC and Amazon .Com LLC, No. 2:19-cv-10899 (2019). These incidents were the motivation for the passage of California’s new IoT Security Law that went into effect on Jan. 1, 2020.
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Privacy Risk Management & Data Minimization
By Therese Craparo and Sarah Bruno
Many organizations — from growing start-ups to mature, well-established companies — are struggling with the new reality of what it means to manage data in an era of digital transformation, exponential data growth, and expanding regulatory regimes focusing on data management and minimization.
Digital Dibs: Rival Views of Generative AI Copyrights
By Greg Moreman
GAI platforms like ChatGPT and OpenAI often require very little human input, shattering this legal landscape’s framework by posing a simple question: Who authored the material? We’ll explore how two countries are answering this question in different ways.
Empowering Legal Professionals: Navigating AI Solutions for Efficiency and Data Security
By Michael T. Murray and Tony Donofrio
Integrating AI tools into legal practice without compromising the security of sensitive client information is a paramount concern. In this article, we’ll examine how AI is revolutionizing certain aspects of legal work, while offering best practices for employing these technologies and providing guidance for legal professionals in selecting the right AI products and service providers.
Pitfalls In Personal Device Data Collection
By Marjorie Peerce and Marguerite O’Brien
The increasing frequency of “bring your own device” policies creates serious implications for subpoena recipients and litigants to ensure compliance with discovery demands. And courts across the country consider such personal mobile data fair game. To avoid pitfalls —and sanctions — counsel must take proactive steps to ensure proper preservation and collection of personal mobile data and verify that clients comply.
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