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Professionals 29 results
Capabilities 22 results
Practice Area
Brands across key sectors turn to Winston litigators to defend their reputations in advertising class actions, competitor disputes, and investigations. With litigators based in the U.S.’s busiest jurisdictions—including courts in California, Florida, Illinois, New York, and Texas—we have deep experience and prowess in handling some of the most high-profile and business-essential advertising cases in recent history. These disputes have involved false advertising; unfair competition, unfair business practices, and unjust enrichment; copyright, trade name, and service mark infringement; consumer-protection claims; and violations of the Lanham Act.
Practice Area
Winston takes a strategic approach to privacy and data security, integrating our extensive capabilities across practices to provide our clients with cutting-edge privacy and data security counseling, crisis management, security incident investigation and notification management, defense of data security class action litigation and regulatory inquiries, and international data protection. Our Global Privacy & Data Security Practice features a core team of privacy professionals and is bolstered by more than 40 attorneys from a variety of other disciplines firmwide. Our team combines compliance counselors, transactional lawyers, former government regulators and federal prosecutors, seasoned investigators, and experienced litigators. Few firms can rival our in-depth, sophisticated, and integrated experience in this area.
Practice Area
eDiscovery & Information Governance
Winston’s eDiscovery & Information Governance Practice (eDiscovery Group) is one of the United States’ largest and most experienced. Per The Legal 500 US 2024, “[Winston has] a very strong practice from top to bottom. They have a good e-discovery consulting practice and excellent review and production capabilities and are amongst the strongest advocates you could want in a courtroom.” We have built a full-service consulting practice to support our clients and case teams in these complex areas—both domestically and globally.
Experience 3 results
Experience
|December 1, 2020
Seaport Capital's Recapitalization of Exacom
Winston & Strawn LLP represented Seaport Capital (“Seaport”), a lower middle-market buyout firm based in New York, in its recapitalization of Exacom, a leader in the multimedia recording market for critical communications. The partnership will help realize a focused growth strategy that will deliver greater value to the public safety, government, utility, healthcare, and other target markets. Based in New Hampshire, Exacom’s technology supports the recording of audio, VoIP, data, and text-to-911 into digital formats for data collection, analysis, and management. This new focus will include a simpler approach to managing mission-critical information.
Insights & News 531 results
Product Liability & Mass Torts Digest
|August 22, 2025
|5 Min Read
In what appears to be the first case to consider the issue, an Eastern District of Missouri court recently rejected the argument that the Supreme Court’s Loper Bright Enterprises v. Raimondo decision overruling Chevron deference undermines the basis for express preemption in medical device cases.
Client Alert
|August 11, 2025
|9 Min Read
Debanking—closing accounts or refusing to open accounts for customers perceived to be high risk—has become a hotly debated topic in recent years among groups on both sides of the political aisle. The debate involves allegations that banks have improperly debanked customers for political, rather than risk-based, reasons. Such accusations have shined a spotlight on banks’ account management practices, resulting in changes to regulatory practices and a new executive order from President Trump requiring additional regulatory changes and investigations. All of which will mean increased risk for financial institutions.
Product Liability & Mass Torts Digest
|July 16, 2025
|7 Min Read
Delaware Supreme Court Reverses Trial Court Decision on Zantac Expert Testimony
Winston has previously analyzed several key aspects of Judge Rosenberg’s decision in the Zantac (ranitidine) MDL that excluded the plaintiffs’ experts and granted summary judgment for the defendants.
Other Results 23 results
Law Glossary
TCPA is the abbreviation for the Telephone Consumer Protection Act of 1991. The law restricts telemarketing certain phone calls, text messages, and facsimiles. It also places restrictions on the use of automatic dialing systems and artificial or prerecorded voice messages. Collections’ actions by phone are also regulated under the act. Consumers may file complaints with Federal Communications Commission (FCC) when TCPA is violated. Since TCPA law governs consumer rights, lawsuits may also be filed by consumers who suffer violations.
Law Glossary
The field of telemarketing law covers U.S. legislation, federal agency regulations, and state statutes that determine how telemarketers can contact consumers and businesses by phone or text message. The Telephone Consumer Protection Act (TCPA) and Telemarketing Sales Rule (TSR) restrict telemarketing calls, automatic phone dialing, and prerecorded messages. TCPA also requires telemarketers to obtain consumers’ signed written consent before robocalling or robotexting them.
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]