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Industry
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.
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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.
Experience 56 results
Experience
|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.
Experience
|June 8, 2025
Secured, with co-counsel, final approval of an historic settlement of over US$2.75B in back-damages for current and former college-athletes and a new revenue-sharing model allowing schools to share future earnings with athletes. This decade-long effort across four different lawsuits redefines the economics of college sports, affirming athlete rights and fair compensation. Following a 9-0 Supreme Court victory in Alston v. NCAA, the team filed three antitrust class actions, resulting in a groundbreaking settlement that creates a revenue-sharing system projected to generate at least US$20B in new, previously prohibited payments and benefits to Division I college athletes over the next decade. The settlement was recognized in Am Law‘s Litigator of the Week column.
Experience
|January 10, 2025
Winston Advises on Pioneering Bitcoin Crypto Lending Programs
Winston & Strawn represented subsidiaries of Hankey Group—Hankey Capital, Westlake Financial, and Midway—in structuring new, cutting-edge Bitcoin Lending Programs which provide real estate and luxury vehicle purchasers with innovative ways to pledge Bitcoin as collateral. The Bitcoin Lending Programs provide Hankey with flexibility on loan terms and conditions and offers Hankey’s borrower clients dynamic solutions for pledging Bitcoin as collateral.
Insights & News 2,239 results
Sponsorship
|November 20, 2025
Winston & Strawn Sponsors 2025 Smart Business Dealmakers South Florida M&A Conference
Winston & Strawn is proud to sponsor the upcoming Smart Business Dealmakers South Florida M&A Conference. The conference brings together hundreds of local dealmakers, including middle-market CEOs, top investors and lenders, and leading M&A advisers.
Sponsorship
|November 12, 2025
Winston & Strawn Sponsors 2025 Smart Business Dealmakers Houston M&A Conference
Winston & Strawn is proud to sponsor the upcoming Smart Business Dealmakers Houston M&A Conference. The conference will discuss topics ranging from raising capital to alternative asset investing, covering the breadth of the M&A landscape.
Global Trade & Foreign Policy Insights
|October 31, 2025
|4 Min Read
EU Publishes 19th Sanctions Packages Against Russia
As Russia’s military aggression against Ukraine continues, the European Union (EU) has maintained its commitment to increasing economic and legal pressure on Russia. In 2025, the EU adopted its 16th, 17th, 18th, and now 19th sanctions packages, each introducing new measures and expanding existing restrictions.
Other Results 81 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.
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.
Site Content
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]