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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 from one scenario to another. Generative AI is a type of foundational model used in AI systems aimed at creating content (e.g., complex text, images, audio, or video).

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Photo of David A. Zetoony David A. Zetoony

David Zetoony, Co-Chair of the firm’s U.S. Data, Privacy and Cybersecurity Practice, focuses on helping businesses navigate data privacy and cyber security laws from a practical standpoint. David has helped hundreds of companies establish and maintain ongoing privacy and security programs, and he

David Zetoony, Co-Chair of the firm’s U.S. Data, Privacy and Cybersecurity Practice, focuses on helping businesses navigate data privacy and cyber security laws from a practical standpoint. David has helped hundreds of companies establish and maintain ongoing privacy and security programs, and he has defended corporate privacy and security practices in investigations initiated by the Federal Trade Commission, and other data privacy and security regulatory agencies around the world, as well as in class action litigation.

Photo of Reena Bajowala Reena Bajowala

Reena R. Bajowala has deep experience with data security, information technology, and privacy law issues, and litigating class, collective, and plan-wide litigation. She is a Certified Information Privacy Technologist (CIPT), a Certified Information Privacy Professional – US (CIPP/US) and a Certified Information Privacy

Reena R. Bajowala has deep experience with data security, information technology, and privacy law issues, and litigating class, collective, and plan-wide litigation. She is a Certified Information Privacy Technologist (CIPT), a Certified Information Privacy Professional – US (CIPP/US) and a Certified Information Privacy Manager (CIPM). Through a competitive process, she was selected as a 2021-2023 Fellow of the American Bar Association’s Business Law Section with the Cyberspace Law Subcommittee.

When faced with a data breach, including in business email compromise, ransomware, or wire transfer fraud scenarios, clients turn to Reena to investigate, remediate, and comply with legal obligations. She regularly conducts risk assessments, develops privacy and information security compliance programs, and leads proactive planning for potential data security incidents, including drafting incident response plans, communications plans, and conducting tabletop exercises. In addition, Reena helps evaluate legal risks relating to emerging technologies, including artificial intelligence, connected devices, and drones.

Reena assists Employee Retirement Income Security Act (ERISA) benefit plan sponsors with implementing cybersecurity policies and service provider management programs. The Department of Labor’s current emphasis on cybersecurity allows Reena to utilize her combined decade-plus ERISA and benefit plan counseling and litigation experience and her deep cybersecurity and vendor management practice.

Reena has wide-ranging litigation and trial experience, including over 100 days of first-chair trial experience. She represents buyers and providers of IT services regarding issues ranging from billing and performance disputes arising from Master Services Agreements and Service Level Agreements to copyright and licensing disputes pursuant to Software Licensing and SaaS agreements. Reena also works to protect the interests of companies during software audits.

With a broad-based background in complex dispute resolution, Reena understands the intricacies of class, collective, and plan-wide litigation in the employment and consumer fraud spaces. She has deep experience with lawsuits involving ERISA, having represented plan sponsors and service providers in both benefits and fiduciary matters.