When DEI Meets the FCA: What Employers Need to Know About the DOJ’s Civil Rights Fraud Initiative
The NCAA's Recent Q&A Document: Clues on What NIL Enforcement Will Look Like Post-House — Highway to NIL Podcast
Episode 376 -- DOJ's Unicat Settlement and the Future Look of Trade Enforcement Actions
False Claims Act Insights - Bitter Pills: DOJ Targets Pharmacies for FCA Enforcement
10 For 10: Top Compliance Stories For the Week Ending June 28, 2025
Everything Compliance: Episode 156, To Document or Not Edition
From Permits to Penalties: A Deep Dive Into Coastal Development Law
Compliance into the Weeds: Boeing’s New Safety Initiatives and Compliance Reforms
Podcast - FTC to Focus on Deceptive AI Claims: Compliance Management Strategies
Podcast - How Do You Define Success?
Episode 374 -- Justice Department Resumes FCPA Enforcement with New, Focused Guidance
10 For 10: Top Compliance Stories For the Week Ending June 21, 2025
2 Gurus Talk Compliance – Episode 54 – The FCPA is Back On Edition
Understanding the DOJ's Recent Corporate Enforcement Policy Changes
Daily Compliance News: June 19, 2025, The Corruption in Spain Edition
Workplace ICE Raids Are Surging—Here’s How Employers Can Prepare - #WorkforceWednesday® - Employment Law This Week®
False Claims Act Insights - Will Recent Leadership Changes Lead to FCA Enforcement Policy Changes?
All Things Investigations: Navigating New DOJ Directives - Declinations, Cooperation, and Whistleblower Programs with Mike DeBernardis and Katherine Taylor
Compliance Tip of the Day: New FCPA Enforcement Memo - What Does it Say?
State attorneys general (AGs) continue to play a pivotal role as innovators, shaping the regulatory environment by leveraging their expertise and resources to influence policy and practice. The public-facing nature of AG...more
On February 6, a bipartisan group of 51 attorney general (AG) sent a warning letter to Life Corporation (Life Corp.) for allegedly engaging in an illegal robocall campaign that they claim was intended to deter New Hampshire...more
AI is hungry for data. Training and testing the machine-learning tools to perform desired tasks consumes huge lakes of data. More data often means better AI....more