Jenn Bauer has extensive experience in global privacy program design, evaluation and audit, regulatory compliance and risk reporting, remediation, and data privacy and cybersecurity law. She guides clients through complex privacy situations as a strategic and solution-oriented advisor. As a trusted and experienced leader certified by the International Association of Privacy Professionals, Jenn has transformed the privacy programs of five Fortune 300 companies and advised blue-chip companies and large government entities on data privacy and security requirements, regulatory compliance (particularly GDPR / CCPA), and operational improvement opportunities. She prepares legal memoranda, research, business resiliency plans, and recommendations for clients to support privacy programs and implement cybersecurity best practices.

Jenn’s experience in privacy and cybersecurity extends to her role as an adjunct lecturer at the West Virginia University College of Law, where she developed and taught a privacy law class focused on the interdisciplinary nature of privacy and its intersection with various industrial sectors, including financial privacy, healthcare, telecommunications, international trade, and artificial intelligence. She also designed a Data Privacy and Cybersecurity Master of Laws program at Georgetown University, where she graduated with distinction.

Experience:

  • Global privacy and compliance advisory services
  • Privacy program design and policy development
  • Privacy due diligence and risk assessments
  • Regulatory investigations

Jenn is licensed in W. Virginia and not licensed in North Carolina.

Education

  • Georgetown University Law Center (LL.M., with distinction, 2018)
    • Georgetown Law Technology Review, Editor
  • West Virginia University College of Law (J.D., 2017)
    • West Virginia Law Review, Senior Editor
    • Philip C. Jessup International Moot Court Team, Captain
    • U.S. Supreme Court Litigation Clinic
  • William Paterson University (B.A., summa cum laude, 2010)
    • William Paterson University Board of Trustees, Student Trustee
    • Who’s Who Among Students in American Universities and Colleges

Bar Admission

  • West Virginia

Court Admissions

  • Supreme Court of Appeals of West Virginia

Professional Affiliations

  • International Association of Privacy Professionals (IAPP)
  • West Virginia Bar Association

Recognition

  • Recognized as a Stellar Performance Lawyer by Thomson Reuters, 2026
  • Named one of Best Lawyers: Ones to Watch® in America in Privacy and Data Security Law, 2026
Publications
All Publications
U.S. and Allies Release “Careful Adoption” Guidance for Agentic AI
Key Takeaways AI is accelerating cybersecurity threats by expanding the attack surface and enabling more sophisticated, scalable attacks, even as it offers potential defensive benefits. Last month, the limited release of new AI systems designed for cybersecurity underscored how new and fast-emerging risks are an inherent part of AI’s potential. Last week, the U.S. and its allies released guidance on how AI security risks for agentic AI systems can and should be addressed within established cybersecurity frameworks.  Industry standards for AI cybersecurity are evolving rapidly, and signals included in this guidance will shape the establishment of duties of care and legal obligations. AI is rapidly reshaping cybersecurity risk, not just as a defensive tool, but as a force multiplier for threat actors. When AI moved
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Court Rules on How Client Use of AI for Legal Strategy is Not Protected
Key Takeaways A federal court ruled that a defendant’s independent use of a publicly available AI platform was not protected by attorney-client privilege or the work product doctrine. The decision highlights how confidentiality and counsel involvement remain central to privilege analysis, even as AI tools evolve. Organizations should take a proactive approach to AI governance and risk mitigation, especially with the current technological shift from generative AI to Agentic AI. A new federal court ruling highlights why defendants should think twice before independently consulting AI tools. Last week, a federal judge in the Southern District of New York issued a 12-page decision in USA vs. Heppner, a case involving allegations of fraud in which the defendant independently used generative AI to prepare elements of
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