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Matthew Shapanka

Matthew Shapanka is a strategic policy and regulatory attorney who helps technology companies and other businesses navigate complex, high-stakes legislative, regulatory, and enforcement matters at the intersection of law and politics. Drawing on 15+ years of experience across private practice, the U.S. Senate, state government, and political campaigns, Matt develops comprehensive policy strategies that identify regulatory risks and position clients to shape policy outcomes.

Public Policy and Regulatory Strategy

Matt serves as a strategic advisor to Fortune 200 companies on emerging technology policy, including artificial intelligence regulation, connected and autonomous vehicles, semiconductors, IoT, and national security matters. He translates complex legal and technical issues into actionable legislative and regulatory strategy, building the policy frameworks and advocacy infrastructure that enable clients to influence policy. He develops policy collateral for federal, state, and international advocacy, coordinates multi-stakeholder coalitions, and represents clients before Congress, federal agencies, and state legislative and regulatory bodies.

His technology policy experience includes securing unprecedented Presidential intervention in the $118 billion Qualcomm-Broadcom transaction (for which Covington was recognized as The American Lawyer 2019 “Dealmakers of the Year”), advising Fortune 200 companies on Bureau of Industry and Security connected vehicle rules, and counseling major internet platforms on autonomous vehicle policy across dozens of states.

Matt leads Covington’s state public policy practice, managing complex multistate legislative and regulatory advocacy campaigns. His state-level work includes securing a last-minute amendment to California’s 2023 money transmitter legislation on behalf of a fintech client and representing major technology companies on state AI, autonomous vehicle, and political advertising compliance matters across dozens of jurisdictions.

Matt rejoined Covington after serving as Chief Counsel for the U.S. Senate Committee on Rules and Administration under Chairwoman Amy Klobuchar (D-MN), where he negotiated the landmark bipartisan Electoral Count Reform Act – legislation that updated presidential election certification procedures for the first time in nearly 140 years. He also oversaw the Committee’s bipartisan January 6th investigation, developing protocols that resulted in unanimous passage of new Capitol security legislation.

Both in Congress and at Covington, Matt has prepared dozens of corporate executives, nonprofit leaders, academics, and presidential nominees for testimony at congressional committee hearings and depositions. He is a skilled legislative drafter and strategist who has composed dozens of bills and amendments introduced in Congress and state legislatures, including many that have been enacted into law.

Election and Political Law Compliance and Enforcement

As a member of Covington’s Chambers-ranked (Band 1) Election and Political Law practice, Matt advises businesses, nonprofits, political committees, candidates, and donors on the full range of federal and state political law compliance matters, including:

Election and campaign finance laws
Lobbying disclosure
Government ethics rules
The SEC Pay-to-Play Rule

He also conducts political law due diligence for M&A transactions, counsels major political funders and donors in compliance and enforcement matters, and represents candidates, ballot measure committees, and donors in election disputes and recounts.

Before law school, Matt served in the administration of former Governor Deval Patrick (D-MA), where he worked on policy, communications, and compliance matters for federal economic recovery funding awarded to the state. He has also staffed federal, state, and local political candidates in Massachusetts and New Hampshire.

Contact:Read more about Matthew ShapankaEmail

Today the White House released an executive summary of the policy reviews President Trump ordered in his America First Trade Policy (AFTP) memorandum, issued on January 20.  Although the full report to the President is nonpublic, according to the executive summary it contains twenty-four chapters, organized into three main pillars: (1) Addressing Unfair and Unbalanced Trade, (2) Economic and Trade Relations with the People’s Republic of China, and (3) Additional Economic Security measures, which includes reviews of export control programs, outbound investment, and other national security policies.

Several of these reviews directly affect the technology industry broadly.  Although the executive summary contains little specific policy detail on these key issues, it does provide an overview of the Administration’s findings and next steps:

Continue Reading Agencies Deliver America First Trade Policy Recommendations to White House

On March 18, the Joint California Policy Working Group on AI Frontier Models (the “Working Group”) released its draft report on the regulation of foundation models, with the aim of providing an “evidence-based foundation for AI policy decisions” in California that “ensure[s] these powerful technologies benefit society globally while reasonably managing emerging risks.”  The Working Group was established by California Governor Gavin Newsom (D) in September 2024, following his veto of California State Senator Scott Wiener (D-San Francisco)’s Safe & Secure Innovation for Frontier AI Models Act (SB 1047).  The Working Group builds on California’s partnership with Stanford University and the University of California, Berkeley, established by Governor Newsom’s 2023 Executive Order on generative AI.

Noting that “foundation model capabilities have rapidly improved” since the veto of SB 1047 and that California’s “unique opportunity” to shape AI governance “may not remain open indefinitely,” the report assesses transparency, third-party risk assessment, and adverse event reporting requirements as key components for foundation model regulation.

Continue Reading California Frontier AI Working Group Issues Report on Foundation Model Regulation

Since taking office, President Trump has issued dozens of executive orders, many addressing key technology policy areas that include international trade and investment, artificial intelligence (AI),  connected vehicles and drones, and trade controls.  Some of these executive actions reverse the previous administration’s efforts on these issues—such as the order revoking President Biden’s October 2023 executive order on Safe, Secure, and Trustworthy Development and Use of Artificial Intelligence—and others initiate a formal review process, suggesting the Trump Administration will preserve, and perhaps strengthen or enhance, key tech policies implemented by the Biden Administration and the first Trump term.  

Several of the executive actions President Trump has taken so far offer important opportunities for stakeholders to weigh in with Executive Branch agencies as they consider next steps, including whether to revoke, expand, or retain tech policies initiated under President Biden. Key initiatives include: 

Continue Reading Flurry of Trump Administration Executive Orders Shakes Up Tech Policy, Creates Industry Opportunities

This is the first in a new series of Covington blogs on the AI policies, executive orders, and other actions of the new Trump Administration.  This blog describes key actions on AI taken by the Trump Administration in January 2025.

Outgoing President Biden Issues Executive Order and Data Center Guidance for AI Infrastructure

Before turning to the Trump Administration, we note one key AI development from the final weeks of the Biden Administration.  On January 14, in one of his final acts in office, President Biden issued Executive Order 14141 on “Advancing United States Leadership in AI Infrastructure.”  This EO, which remains in force, sets out requirements and deadlines for the construction and operation of “frontier AI infrastructure,” including data centers and clean energy facilities, by private-sector entities on federal land.  Specifically, EO 14141 directs the Departments of Defense (“DOD”) and Energy (“DOE”) to lease federal lands for the construction and operation of AI data centers and clean energy facilities by the end of 2027, establishes solicitation and lease application processes for private sector applicants, directs federal agencies to take various steps to streamline and consolidate environmental permitting for AI infrastructure, and directs the DOE to take steps to update the U.S. electricity grid to meet the growing energy demands of AI. 

Continue Reading January 2025 AI Developments – Transitioning to the Trump Administration

On February 6, the White House Office of Science & Technology Policy (“OSTP”) and National Science Foundation (“NSF”) issued a Request for Information (“RFI”) seeking public input on the “Development of an Artificial Intelligence Action Plan.”  The RFI marks a first step toward the implementation of the Trump Administration’s January 23 Executive Order 14179, “Removing Barriers to American Leadership in Artificial Intelligence” (the “EO”).  Specifically, the EO directs Assistant to the President for Science & Technology (and OSTP Director nominee) Michael Kratsios, White House AI & Crypto Czar David Sacks, and National Security Advisor Michael Waltz to “develop and submit to the President an action plan” to achieve the EO’s policy of “sustain[ing] and enhance[ing] America’s global AI dominance” to “promote human flourishing, economic competitiveness, and national security.” 

Continue Reading Trump Administration Seeks Public Comment on AI Action Plan

On January 29, Senator Josh Hawley (R-MO) introduced the Decoupling America’s Artificial Intelligence Capabilities from China Act (S. 321), one of the first bills of 119th Congress to address escalating U.S. competition with China on artificial intelligence.  The new legislation comes just days after Chinese AI company DeepSeek launched its R1 AI model with advanced capabilities that has been widely viewed as a possible turning point in the U.S.-China AI race.  If enacted, S. 321 would impose sweeping prohibitions on U.S. imports and exports of AI and generative AI technologies and R&D to and from China and bar U.S. investments in AI technology developed or produced in China.  The bill, which was referred to the Senate Judiciary Committee, had no cosponsors and no House companion at the time of introduction.

Specifically, S. 321 would prohibit U.S. persons—including any corporation or educational or research institution in the U.S. or controlled by U.S. citizens or permanent residents—from (1) exporting AI or generative AI technology or IP to China or (2) importing AI or generative AI technology or IP developed or produced in China.  In addition, the bill would bar U.S. persons from transferring AI or generative AI research to China or Chinese educational institutions, research institutions, corporations, or government entities (“Chinese entities of concern”), or from conducting AI or generative AI R&D within China or for, on behalf of, or in collaboration with such entities.

Finally, the bill would prohibit any U.S. person from financing AI R&D with connections to China.  The bill specifically prohibits U.S. persons from “holding or managing any interest in” or extending loans or lines of credit to Chinese entities of concern that conduct AI- or generative AI-related R&D, produce goods that incorporate AI or generative AI R&D, assist with Chinese military or surveillance capabilities, or are implicated in human rights abuses. 

Continue Reading Senator Hawley Introduces Sweeping U.S.-China AI Decoupling Bill

U.S. Secretary of Commerce nominee Howard Lutnick delivered a detailed preview of what to expect from the Trump Administration on key issues around technology, trade, and intellectual property.  At his nomination hearing before the Senate Committee on Commerce, Science, and Transportation on Wednesday, January 29, Lutnick faced questions from senators about the future of the CHIPS and Science Act, global trade, and particularly U.S. technological competition with China, including export controls and artificial intelligence after the release of China’s AI model “DeepSeek.”  Lutnick, who was introduced by Vice President J.D. Vance, committed to implementing the Trump Administration’s America First agenda. 

If confirmed, Lutnick will lead the Commerce Department’s vast policy portfolio, including export controls for emerging technologies, broadband spectrum access and deployment, AI innovation, and climate and weather issues through the National Oceanic and Atmospheric Administration (“NOAA”).  In his responses to senators’ questions, Lutnick emphasized his pro-business approach and his intent to implement President Trump’s policy objectives including bringing manufacturing—particularly of semiconductors—back to the United States and establishing “reciprocity” with China in response to what he called “unfair” treatment of U.S. businesses.

Continue Reading What Commerce Secretary Nominee Howard Lutnick’s Confirmation Hearing Tells Us about Technology Policy in the Trump Administration

The results of the 2024 U.S. election are expected to have significant implications for AI legislation and regulation at both the federal and state level. 

Like the first Trump Administration, the second Trump Administration is likely to prioritize AI innovation, R&D, national security uses of AI, and U.S. private sector investment and leadership in AI.  Although recent AI model testing and reporting requirements established by the Biden Administration may be halted or revoked, efforts to promote private-sector innovation and competition with China are expected to continue.  And while antitrust enforcement involving large technology companies may continue in the Trump Administration, more prescriptive AI rulemaking efforts such as those launched by the current leadership of the Federal Trade Commission (“FTC”) are likely to be curtailed substantially.

In the House and Senate, Republican majorities are likely to adopt priorities similar to those of the Trump Administration, with a continued focus on AI-generated deepfakes and prohibitions on the use of AI for government surveillance and content moderation. 

At the state level, legislatures in California, Texas, Colorado, Connecticut, and others likely will advance AI legislation on issues ranging from algorithmic discrimination to digital replicas and generative AI watermarking. 

This post covers the effects of the recent U.S. election on these areas and what to expect as we enter 2025.  (Click here for our summary of the 2024 election implications on AI-related industrial policy and competition with China.)

Continue Reading U.S. AI Policy Expectations in the Trump Administration, GOP Congress, and the States

Technology companies will be in for a bumpy ride in the second Trump Administration.  President-elect Trump has promised to adopt policies that will accelerate the United States’ technological decoupling from China.  However, he will likely take a more hands-off approach to regulating artificial intelligence and reverse several Biden Administration policies related to AI and other emerging technologies.

Continue Reading Tech Policy in a Second Trump Administration: AI Promotion and Further Decoupling from China

On October 28, Texas State Representative Giovanni Capriglione (R-Tarrant County) released a draft of the Texas Responsible AI Governance Act (“TRAIGA”), after nearly a year collecting input from industry stakeholders.  Representative Capriglione, who authored Texas’s Data Privacy and Security Act (discussed here) and currently co-chairs the state’s AI Advisory Council, appears likely to introduce TRAIGA in the upcoming legislative session scheduled to begin on January 14, 2025.  Modeled after the Colorado AI Act (SB 205) (discussed here) and the EU AI Act, TRAIGA would establish obligations for developers, deployers, and distributors of “high-risk AI systems.”  Additionally, TRAIGA would establish an “AI Regulatory Sandbox Program” for participating AI developers to test AI systems under a statutory exemption.

Although a number of states have expressed significant interest in AI regulation, if passed, Texas would become the second state to enact industry-agnostic, risk-based AI legislation, following the passage of the Colorado AI Act in May.  There is significant activity in other states as well, as the California Privacy Protection Agency considers rules that would apply to certain automated decision and AI systems, and other states are expected to introduce AI legislation in the new session.  In addition to its requirements for high-risk AI and its AI sandbox program, TRAIGA would amend Texas’s Data Privacy and Security Act to incorporate AI-specific provisions and would provide for an AI workforce grant program and a new “AI Council” to provide advisory opinions and guidance on AI.

Continue Reading Texas Legislature to Consider Sweeping AI Legislation in 2025