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  • Professionals (270)
  • Capabilities (69)
  • Experience (59)
  • Insights & News (2,251)
  • Other Results (82)

Professionals 270 results

Monica Lopez-Rodriguez
Monica Lopez-Rodriguez
Of Counsel
  • Miami
Email
+1 305-910-0501
vCard

Of Counsel

  • Miami
Ashley Wright
Ashley Wright
Associate
  • Dallas
Email
+1 214-453-6457
vCard

Associate

  • Dallas
Abigail Clarke-Sayer
Abigail Clarke-Sayer
Director
  • New York
Email
+1 212-294-4729
vCard

Director

  • New York
View All Professionals

Capabilities 69 results

Industry

Energy Transition

As core segments of the global economy continue to embrace sustainable and carbon-neutral energy resources as complementary and integral to fossil-based systems of energy production and consumption, we stand ready to guide our clients through the energy transition. Our team is at the forefront of the flourishing energy transition market, and we bring practical experience, perspective, and innovative thinking to the sector. By combining our more than 40 years of experience in renewable and conventional energy with an integrated service approach, we help clients to plan for, invest in, and thrive in today’s shifting environment. Not only does our team include experienced energy and corporate lawyers, but also practitioners with deep experience in tax credits and tax equity, project finance, infrastructure, and power and renewables to serve the varied needs of our client base....Read more

Practice Area

Trademark Litigation, Prosecution & Brand Protection

Region

Europe

Winston has a well-established presence in Europe representing clients for over three decades. We demonstrate excellence advising clients on transactional, disputes and regulatory matters in the financial services, private equity, industrial, health, and technology sectors. Our European offices bring together a unique blend of deep local knowledge and global expertise, allowing us to effectively navigate complex cross-border legal matters. ...Read more

Experience 59 results

Experience

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December 11, 2025

Winston Takes the Checkered Flag After “Massive Win” Settlement

Winston squared off in the W.D.N.C. against lawyers for NASCAR in an antitrust lawsuit brought on behalf of racing teams Front Row Motorsports Inc. and 23X1 Racing LLC—the team co-owned by Michael Jordan and driver Denny Hamlin—alleging monopolization of the market for premier stock car racing teams. On December 11, 2025, nine days into trial and the morning after the plaintiffs rested their case, the parties jointly announced a settlement. Jeffrey Kessler, Jeanifer Parsigian, and Danielle Williams were recognized by American Lawyer with its top “Litigator of the Week” honors on December 19, 2025, for this historic settlement....Read more

Experience

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November 26, 2025

Winston & Strawn Represented CFS Brands in its Acquisition of Cornerstone Foodservice Group

Winston represented CFS Brands, a portfolio company of TJC, in its acquisition of Cornerstone Foodservice Group, a global leader in foodservice equipment serving both front- and back-of-house applications through a portfolio of established, innovative brands. ...Read more

Experience

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August 18, 2025

Winston Represented Amphenol in Definitive Agreement to Acquire Trexon

Winston represented Amphenol Corporation (NYSE: APH), one of the world’s largest designers, manufacturers, and marketers of electrical, electronic, and fiber optic connectors and systems, as well as coaxial and high-speed specialty cables, in its definitive agreement to acquire Trexon, a leading provider of high-reliability interconnect and cable assemblies primarily serving the defense market. The acquisition is valued at approximately US$1B, subject to customary post-closing adjustments. Amphenol will finance the transaction with cash on hand and expects to close in the fourth quarter of 2025....Read more
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Insights & News 2,251 results

Seminar/CLE

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January 20, 2026

2026 NYC SBIC Fund Conference

Winston & Strawn and RSM US LLP are co-hosting the annual NYC SBIC Fund Conference on Tuesday, January 20, 2026.General and limited partners, chief financial officers, and controllers of small business investment company (SBIC) funds are invited to a half-day seminar covering various topics related to SBIC fund operations, including:...Read more

Capital Markets & Securities Law Watch

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December 31, 2025

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5 Min Read

Section 16 Obligations Expand to Apply to Foreign Private Issuers

On December 18, 2025, as part of the National Defense Authorization Act for fiscal year 2026, the Holding Foreign Insiders Accountable Act (HFIAA) was signed into law. The HFIAA amends Section 16(a) of the Securities Exchange Act of 1934 to require directors and executive officers of foreign private issuers with a class of equity securities registered under Section 12 of the Exchange Act to comply with the same insider reporting rules that apply to U.S. domestic issuers. Beginning in March 2026, covered FPI insiders must publicly disclose their equity ownership and transactions on the same forms used by U.S. issuers—Forms 3, 4, and 5.

Capital Markets & Securities Law Watch

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December 23, 2025

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3 Min Read

DTCC Partners with Digital Asset to Tokenize DTC-Custodied U.S. Treasury Securities

On December 17, 2025, the Depository Trust & Clearing Corporation (DTCC) announced a partnership with Digital Asset Holdings (Digital Asset), a developer of distributed ledger technology, to tokenize a subset of U.S. Treasury securities custodied at its subsidiary, the Depository Trust Company (DTC), using Digital Asset’s Canton Network. This announcement follows DTC’s receipt of a No-Action Letter from the U.S. Securities and Exchange Commission (SEC) on December 11, 2025, providing no-action relief allowing DTC to offer a pilot tokenization service for certain highly liquid assets.

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Other Results 82 results

Site Content

What Is the Electronic Data Gathering Analysis and Retrieval (EDGAR) System Used For?

EDGAR is the SEC’s electronic database system for filing forms with the SEC, including registration statements and periodic reports under the 1933 and 1934 Acts....Read more

Site Content

What Is Artificial Intelligence (AI)?

The definition of artificial intelligence, also known as AI, is the capability of computers or robots to execute tasks that humans normally do. The meaning of AI can also include the development of computer systems that perform intellectual processes. In other words, machines perform tasks intelligently, such as reasoning and generalizing. Narrow AI is a type of artificial intelligence where the focus is placed on specific tasks. An example of this would be a virtual assistant who has targeted abilities, such as the ability to respond to questions. Strong AI is machine intelligence featuring human cognitive capabilities, such as the ability to make judgments, find solutions, or communicate. Today, it’s important to understand what artificial intelligence systems are commonly used for, including visual perception, speech recognition, and decision-making....Read more

Site Content

What Is Generative AI?

Generative AI tools can create new content, such as text, computer code, images, audio, sound, and video, in response to a user’s prompt, often in the form of a short written description of the desired output. Generative AI tools are based on machine learning, trained using enormous amounts of data.[1] Generative AI tools are built on a system of inputs and outputs. First, the tool goes through a machine learning period whereby it is trained to generate predictive models and creative outputs through a large data set, often varied and diverse but tailored to the goal of the tool (i.e., customer service, generating scientific or marketing models, etc.). For in-house tools, this can be done with the company’s own data; for larger tools such as ChatGPT, this is done with the creator’s data set.[2] Once the tool has been trained, the individual user “inputs” a short prompt for the tool to synthesize and produce an “output.” Inputs are often retained on the servers controlled by the company that supports the tool, for monitoring of the tool’s performance and, in some cases, continued learning. The “outputs” are created by combining the machine learning during the training period with the inputs to produce an output.[3]...Read more
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