Aaron R.Cooper

On June 22, 2026, President Trump signed two Executive Orders establishing an updated comprehensive federal framework for quantum information science and technology. The first order focuses on security—requiring federal agencies and government contractors to upgrade their encryption systems to withstand attacks from future quantum computers, before those computers arrive. The second focuses on innovation—accelerating research, commercialization, and workforce development in quantum computing and

Lawdragon has recognized Jenner & Block Partners Aaron Cooper, Madeleine Findley, and Shoba Pillay, Co-Chairs of the firm's Data Privacy and Cybersecurity Practice, on their 2026 list of the 500 Leading Global Cyber Lawyers. This guide celebrates the lawyers who handle the most sensitive online threats, protecting valuable data – including digital assets – shaping compliance programs and protecting against corporate espionage and national security threats in the cyber realm.

On June 2, the Trump administration issued an Executive Order (EO) on artificial intelligence and cybersecurity—just weeks after abruptly pulling a prior version at the eleventh hour, with tech leaders already assembled at the White House for a signing ceremony. In the wake of reports on the new capabilities of frontier models to identify and exploit cybersecurity vulnerabilities at scale, the EO sets out the administration’s framework for voluntary government pre-release review of “covered fron

For much of the last year, the Trump Administration has signaled its opposition to state AI regulation that, in its view, could stifle innovation and impede the country’s ability to win the AI race. In its most recent salvo, the US Department of Justice (DOJ) on Friday, April 24, intervened in a lawsuit brought by xAI challenging Colorado’s SB24-205 (the Colorado AI Act). The DOJ alleges that the Colorado AI Act violates the Equal Protection Clause of the US Constitution, both by compelling AI d

The Department of Justice (DOJ) recently announced a major change in its approach to investigating and prosecuting white-collar crime involving taxpayer dollars and taxpayer-funded programs.

On March 20, 2026, the White House released a National Policy Framework for Artificial Intelligence, briefly recommending a set of legislative priorities for Congress across seven subject areas to “win[] the AI race.” The framework represents the clearest statement to date of the Administration’s ambitions for congressional action and offers a sense of where legislative engagement will likely focus over the coming year, including on preemption, child safety, and scaling infrastructure. But it is

On March 10, 2026, the Department of Justice (DOJ) announced its first-ever Department-wide Corporate Enforcement and Voluntary Self-Disclosure Policy (CEP) for criminal matters, superseding all component-specific and US Attorney’s Office-specific corporate enforcement policies currently in effect. The new policy extends the framework the Criminal Division previously introduced in May 2025 to all DOJ components that handle corporate criminal matters, with the exception of antitrust violations un

The Administration’s 2026 AI Action Plan foreshadowed broad efforts to bring Artificial Intelligence (AI) capabilities to government. Now, the General Services Administration (GSA), which leverages government-wide purchasing power, is proposing a new, required clause, GSAR 552.239-7001, Basic Safeguarding of Artificial Intelligence Systems, in all solicitations and contracts in which Artificial Intelligence (AI) capabilities are either (a) provided to the government or (b) used by the contractor

The Trump administration's new National Cybersecurity Strategy signals a major shift in federal policy, one that could put private companies in the driver’s seat for offensive cyber operations against nation-state actors, ransomware groups, and cybercriminals.

Jenner & Block is proud to co-host The Future of AI Governance with Alpha, taking today in Washington, DC. Co-Managing Partner Ishan Bhabha will offer opening remarks with Partners Caroline Cease, Aaron Cooper, Charles D. Riely, H. Kurt von Moltke, Will Weaver presenting. Additional speakers include: 

On February 20, 2026, the Supreme Court issued a landmark decision in Learning Resources, Inc. v. Trump (No. 24-1287) and Trump v. V.O.S. Selections, Inc. (No. 25-250), holding 6-3 that the International Emergency Economic Powers Act (IEEPA) does not grant the President authority to impose tariffs. The same day, President Trump issued an Executive Order rescinding IEEPA tariffs and directing agency heads to “terminate the collection” of those tariffs “as soon as practicable.”

In April 2025, Attorney General Pam Bondi signaled the Department of Justice’s (the “Department” or “DOJ”) heightened interest in pursuing “improper leaks” of “protected” government information and, to do so, relaxed DOJ’s self-imposed policy constraints on conducting media investigations.[1]In January 2026, the Federal Bureau of Investigation (FBI) executed a search warrant at the home of Washington Post reporter Hannah Natanson, seeking information related to an alleged disclosure of classifie

The Department of Justice (DOJ) Fraud Section released its 2025 Year-in-Review (YIR) last week, revealing an expanded enforcement blueprint that suggests heightened regulatory risk and more aggressive corporate enforcement ahead. In light of these changes, companies – especially those in the Section’s identified priorities for enforcement – should prepare for increased parallel enforcement and criminal liability by proactively strengthening their compliance programs to identify and address issue

Yesterday the Trump Administration issued an Executive Order (EO), “Ensuring a National Policy Framework for Artificial Intelligence,” that directs the Department of Justice, the Department of Commerce, the Federal Communications Commission, the Federal Trade Commission, and other agencies to take action to preempt State AI laws.

Aaron Cooper and Madeleine Findley, Co-Chairs of Jenner & Block’s Data Privacy and Cybersecurity Practice, will speak on a panel at Privacy & Security Academy’s Fall Forum on November 12.

Jenner & Block filed an amicus brief before the Supreme Court of the United States on behalf of prominent economists in Learning Resources, Inc., et al. v. Donald J. Trump, President of the United States, et al. The brief provides economic analysis regarding emergency tariffs imposed by President Trump under the International Emergency Economic Powers Act (IEEPA).

Earlier this year, the Department of Justice (DOJ) identified trade fraud as a critical enforcement area, announcing a major restructuring effort in preparation for a new wave of trade-related investigations and prosecutions.1 

In a highly anticipated decision released last week, the en banc US Court of Appeals for the Federal Circuit dealt a blow to President Trump’s tariff agenda. The Federal Circuit’s ruling came down in a consolidated appeal of two cases (V.O.S. Selections and Oregon) brought in the US Court of International Trade (CIT), challenging the President’s use of the International Emergency Economic Powers Act (IEEPA) to impose tariffs via Executive Order.1 

States are playing a critical role in the development of AI policy in the United States, as serious legislative efforts at the federal level remain stalled. The Trump Administration and Republican Congress have signaled they plan to take a business-friendly, light-touch approach to AI regulation that prioritizes American innovation and emphasizes competition with China, and there is little prospect of Congress moving a substantive AI bill in the current political climate. Instead, states are mov

 On July 23, 2025, the Trump administration debuted its long-awaited AI Action Plan (the Plan), identifying a range of policies to be implemented across the federal government to “usher in a new golden age of human flourishing, economic competitiveness, and national security for the American people.” Alongside the Plan, President Trump also released three executive orders (EOs) that (1) promote the export of “full-stack American AI technology packages,” (2) facilitate the build-out of AI data ce