Welcome to the award-winning FCPA Compliance Report, the longest-running podcast in compliance. In this special edition, Tom welcomes Jessica Nall, a partner at Baker McKenzie who leads the firm's West Coast investigations and compliance practice, and Maria Piontkovska, a Senior Associate in the same practice group.

We deeply dive into their article about the recent speeches by Department of Justice representatives at the ABA White Collar Conference on the new DOJ whistleblower program, AI, data protection, and intellectual property protection.

Jessica Nall and Maria Piontkovska are prominent legal professionals specializing in white-collar defense and corporate investigations. Jessica, a seasoned attorney with over 20 years of experience, leads Baker McKenzie’s white-collar practice in California, and Maria is a skilled US white-collar attorney originally from Ukraine.

Both regard the ABA White Collar Conference as an essential platform for the defense bar, government investigators, and compliance leaders to gather for discussions and networking. Nall sees the conference as vital for disseminating new compliance expectations and enforcement trends announced by government officials. At the same time, Piontkovska highlights the importance of the direct line of communication with these officials, providing insights straight from the source.

Their perspectives on the conference are shaped by their extensive experiences in the field and drive their contributions to the discussions and policies related to white-collar defense and compliance.

Topics Covered in This Episode:

Key Figures Discussing Trends in Compliance

Corporate Transparency Incentive Initiative

Financial Incentives for Anti-Corruption Self-Disclosure

Navigating Risks: AI in Corporate Compliance

Data Mapping for International Data Security

Resources:

Jessica Nall on LinkedIn

Maria Piontkovska on LinkedIn

Compliance Steps After ABA White Collar Crime Conference

United States: Department of Justice announces new corporate compliance directives for AI along with increased penalties for AI-related misconduct

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