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Professionals 118 results
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Industry
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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.
Experience 31 results
Experience
|July 17, 2025
D. Boral Capital Closes US$15M Robot Consulting IPO
Winston & Strawn LLP represented D. Boral Capital LLC and Craft Capital Management LLC in connection with the US$15M initial public offering of American Depositary Shares (ADSs) of Robot Consulting Co., Ltd. The offering consisted of 3,750,000 ADSs priced at $4.00 per ADS, and the company’s ADSs began trading on the Nasdaq Capital Market under the ticker symbol “LAWR” on July 17, 2025.
Experience
|July 15, 2025
Winston Represented Cuadrilla Capital in the Acquisition of TigerGraph
Winston represented Cuadrilla Capital, a leading enterprise software investment firm, in the strategic investment of TigerGraph, an enterprise AI infrastructure and graph database leader. The investment will facilitate TigerGraph’s continued innovation and accelerate its business growth by positioning TigerGraph to expand its market-leading capabilities in fraud detection, entity resolution, customer 360 initiatives, supply chain management, and other mission-critical enterprise applications.
Experience
|April 3, 2025
Winston Paris advised David Vincent, CEO and Co-Founder of smartTrade Technologies — a leading global provider of multi-asset electronic trading and payment solutions — as well as a group of private investors, in connection with the entry of TA Associates, a premier global private equity firm, into the company’s capital.
Insights & News 690 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.
Recognitions
|August 21, 2025
|1 Min Read
Winston & Strawn Recognized in 2026 Chambers Latin America Rankings
Winston & Strawn partners Talbert Navia and Richard Puttré are recognized in the 2026 edition of Chambers Latin America. Chambers Latin America ranks and reviews the best law firms and lawyers across the region based on in-depth research and client feedback.
Seminar/CLE
|August 14, 2025
From Policy to Practice: Building Corporate AI Playbooks and Workflow
On August 14, our Charlotte office hosted a CLE discussion, From Policy to Practice: Building Corporate AI Playbooks and Workflow. We greatly appreciate your participation, and we are happy to be your strategic advisors in your AI journey as this exciting area continues to evolve.
Other Results 28 results
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
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]