Following enforcement cases and compliance with the Texas Data Broker Law, the Texas Data Privacy and Security Act, Texas Deceptive Trade Practices Act (DTPA), and applicable federal standards.
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As technology has evolved, lawyers have continually adapted to use new tools and systems. From the introduction of personal computers to the widespread adoption of cloud-based services, each technological advancement has brought new efficiencies—and new ethical considerations. The release of generative AI tools in 2022 is no exception, prompting lawyers to reevaluate their ethical duties, particularly concerning confidentiality.
The duty of confidentiality has always been a cornerstone of legal ethics. As technology advanced, the ways in which lawyers could ...
Recently, the California Attorney General released a pair of advisories regarding the applicability of California laws to artificial intelligence (AI). In short, the California Attorney General is reminding us that, while California has recently passed legislation to specifically address AI, there are many laws already on the books that can be applied to AI use cases. Further, one of the two advisories is specifically focused on the use of AI in the healthcare sector, signaling that California will likely start its AI-specific enforcement efforts on the healthcare sector – a ...
DeepSeek AI, the latest entrant in the artificial intelligence landscape, has made an explosive debut. As the first high-quality AI model released outside the usual industry leaders—OpenAI, Google, and Anthropic—it has immediately drawn attention. Since its release, millions of downloads and an overwhelming rush to access its API have underscored the appetite for a new player in the AI market. However, alongside its rapid adoption, DeepSeek AI has raised significant concerns among security researchers, privacy professionals, and regulators worldwide.
Privacy and ...
Data has become one of an organization’s most valuable resources, a fact which has become recently intensified with the continued rise of artificial intelligence. As such, the data management lifecycle is a critical framework for organizations to handle data in compliance with legal requirements and industry best practices. This article examines the four key stages of the data lifecycle: client engagement, data collection, data use, and data retention.
Client Engagement
The foundation of legally sound data management begins with proper client engagement, which is ...