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Professionals 177 results
Capabilities 52 results
Industry
Industry
Development & Protection of AI Technologies
Our Intellectual Property (IP) and Privacy teams work closely together to counsel clients in building, protecting, and commercializing proprietary AI technologies and data; the use of third party or open source AI technologies and data; and the implications that these activities may have under privacy laws.
Industry
Winston’s broad-based, fully integrated Energy Practice is among the most experienced in the current market, and we advise enterprises with interests in power generation from both renewable and conventional sources; transmission, including generation interconnection and transmission access; and storage projects on a full panoply of legal and business needs. We have handled power transactions since the infusion of independent power producers (IPPs) into the sector in the 1970s, which helped establish our reputation as one of the leading firms for power sector transactions, including electric generation, transmission, distribution, and fuel supply. We also handle various types of energy-related disputes before federal and state courts, arbitral panels on the domestic and international levels, and before regulatory authorities. Collectively, our lawyers deliver exceptional value due to the team’s depth of experience, the efficiency that comes with such experience, and our institutional knowledge of our clients’ businesses.
Experience 48 results
Experience
|July 17, 2025
Experience
|July 15, 2025
Winston Represented Cuadrilla Capital in the Acquisition of TigerGraph
Experience
|July 15, 2025
Atsion Commits Up to $200 Million in Strategic OFA Investment
Insights & News 832 results
Sponsorship
|September 18, 2025
Winston & Strawn Sponsors 21st Annual Boardroom Summit
Winston & Strawn is sponsoring the upcoming 21stAnnual Boardroom Summit & Board Committee Peer Exchange. This unique event will bring industry leading public company directors to discuss current trends, including shareholder activism, CEO succession strategies, and uses of AI in the boardroom.
News
|August 4, 2025
|3 Min Read
Key Takeaways from Winston’s Fifth Annual Health Care & Life Sciences Summit
Winston & Strawn was pleased to host its fifth annual Health Care & Life Sciences Summit. This year’s event brought together clients, colleagues, and industry leaders for an afternoon of insightful discussions, networking, and perspectives on the shifting dynamics across the health care and life sciences sector.
Recognitions
|August 1, 2025
|1 Min Read
Kobi Kennedy Brinson Receives Profiles in Leadership Journal’s Mentoring Leadership Award 2025
Winston & Strawn Opportunity and Inclusion Committee Chair and Financial Services Industry Group Co-Chair Kobi Kennedy Brinson was awarded Profiles in Leadership Journal’s 2025 Mentoring Leadership Award. This honor recognizes professionals who have exceeded the traditional role of a mentor, fostered meaningful connections, and established a legacy of progress.
Other Results 35 results
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]
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.