Jena M. Valdetero, Co-Chair of the firm’s Data Privacy and Cybersecurity Practice, and Steven M. Malina, a member of GT’s Litigation Practice, were quoted in a Dark Reading article titled “Orgs Face Major SEC Penalties for Failing to Disclose Breaches.”

Click here to read the full article, published by Dark Reading

David A. Zetoony, co-chair of global law firm Greenberg Traurig, LLP’s U.S. Data Privacy & Cybersecurity Practice, has been named a top “Legal Influencer” in the field of Technology, Media and Telecommunications (TMT) – Europe by Lexology. TMT includes compliance with European data privacy and security laws, including those that regulate

In this episode of Legal Food Talk, host Justin Prochnow welcomes colleague Tyler Thompson from GT’s Data Privacy and Cybersecurity team to discuss the responsibilities of companies to protect data. Tyler breaks down the overall regulation of data collection and the web of different state laws and regulations, making it more difficult for companies to

On Oct. 19, 2023, the CFPB released a proposed rule that, if finalized in its present form, would require covered financial institutions to provide consumers and authorized third parties with access and portability options for their financial data. The CFPB’s proposed rule, called the “Personal Financial Data Rights” rule, would implement Section 1033 of Title

Companies across industries are considering whether, and how, to utilize artificial intelligence (AI). Once developed, an AI can be utilized in a variety of different ways.

Foundational models are large-scale AI models trained using vast amounts of unlabeled data that can be used for varying tasks. Foundational models typically use self-supervised learning to apply learnings

Companies across industries are considering whether, and how, to utilize artificial intelligence (AI). Once developed, an AI can be utilized in a variety of different ways.

As part of developing an AI, computers may be provided with large quantities of data from which patterns and associations can be recognized (“training data”). Training data is often

Companies across industries are considering whether, and how, to utilize artificial intelligence (AI). Once developed, an AI can be utilized in a variety of different ways.

Prompts are a subset of input data that describe the instructions provided to the AI model (i.e., “please summarize the following 10 documents”) as opposed to other types of

Companies across industries are considering whether, and how, to utilize artificial intelligence (AI). Once developed, an AI can be utilized in a variety of different ways.

Input data is data added to an artificial intelligence (AI) to explain a problem, situation, or request. Input data may be cleaned, labeled, and organized, or it may be