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  • Professionals (58)
  • Capabilities (16)
  • Experience (80)
  • Insights & News (1,039)
  • Other Results (11)

Professionals 58 results

Dan Webb
Dan Webb
Partner
  • Chicago
Email
+1 312-558-5856
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Partner

  • Chicago
Arthur B. Schoen
Arthur B. Schoen
Associate
  • New York
Email
+1 212-294-9578
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Associate

  • New York
Chaoxuan Charles Liu
Chaoxuan Charles Liu
Of Counsel
  • Dallas
Email
+1 214-453-6423
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Of Counsel

  • Dallas
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Capabilities 16 results

Practice Area

Product Liability & Mass Torts

Major multinational companies trust Winston to defend their products and reputations in high-profile, high-stakes product liability and mass tort claims. Our Product Liability & Mass Torts Practice is one of the industry’s most seasoned, with a deep bench of experienced lawyers and a unique combination of extensive trial experience and expansive technical knowledge....Read more

Practice Area

Crisis Management

Addressing a crisis in today’s climate requires both swift action and careful consideration of all potential risks. Winston & Strawn is a trusted business adviser to clients facing complex, fast-moving, high-profile crises....Read more

Practice Area

Environmental Litigation & Enforcement

With today’s rapidly evolving rules of engagement, paired with the often contentious nature of environmental disputes, clients rely on Winston for our practical experience and substantive knowledge of the broad-ranging issues involved in environmental litigation, enforcement, and investigations....Read more

Experience 80 results

Experience

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June 25, 2025

Winston Secures Federal Circuit Affirmance of 101 Victory for Polycom

Experience

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June 12, 2025

Winston Serves as Lead Counsel to CGP Capital Partners in New Continuation Vehicle

Experience

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May 15, 2025

Winston Secures Federal Circuit Victory for Snap Axing Image-Presentation Patents on the Pleadings

View All Experience

Insights & News 1,039 results

Investigations, Enforcement, & Compliance Alerts

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August 18, 2025

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2 Min Read

PE Fund on Hook for Portco’s False Claims Act Cybersecurity Violations

DOJ False Claims Act (FCA) settlements related to cybersecurity typically have focused on false representations by a government contractor of its compliance with cybersecurity requirements. A recently announced settlement shows that private equity owners are not immune from potential FCA liability.

Competition Corner

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August 11, 2025

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6 Min Read

Epic v. Google: Setting the Bar for Affirmative Antitrust Remedies in the Digital Age

The July 2025 decision by the Ninth Circuit Court of Appeals in Epic Games v. Google marks a landmark development in the ongoing evolution of antitrust remedies for unilateral conduct in the technology sector. The court’s willingness to affirm not just prohibitory, but also mandatory, forward-looking injunctions—requiring Google to take affirmative steps to open its Android app ecosystem to competition—signals a vigorous approach to restoring competition in digital platforms.

Client Alert

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August 8, 2025

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5 Min Read

The Recent Expansion of the QSBS Rules Creates New Opportunities for Venture Capital Funds and Their Investors

The One Big Beautiful Bill Act, enacted on July 4, 2025, modernizes and expands the already favorable tax treatment that applies to investments in qualified small business stock (QSBS). These changes benefit venture capital funds that intend to avail themselves of the tax benefits under the QSBS rules by (i) expanding the universe of companies that the funds can invest in, (ii) increasing the amount of gains that their respective investors can receive that are not subject to federal income tax and (iii) providing the funds with more flexibility in terms of timing their exits from these types of investments. The expansion of the QSBS rules under the Act should be a welcome development for venture capital funds and their investors.

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Other Results 11 results

Site Content

What Is General Causation?

In the product liability context, general causation is the legal and scientific determination of whether the product in question has the inherent capability to cause the alleged injury under certain circumstances. Establishment of general causation is a critical aspect of a plaintiff’s case, and typically requires scientific evidence, such as epidemiology or toxicology, and expert testimony to establish a causal connection between the product’s design, manufacturing, or warnings and the injury or injuries at issue. As contrasted to specific causation, the focus in a general causation inquiry is on whether the product or exposure, as a general matter, can cause the type of injury claimed by the plaintiff. A general causation inquiry does not assess any facts unique to a particular plaintiff....Read more

Site Content

What Is Specific Causation?

Specific causation is the legal and scientific determination of whether the product in question was the direct cause of a plaintiff's specific injury. While general causation inquires whether a broader connection exists between a product and a type of harm, a specific causation assessment focuses on the unique circumstances surrounding a particular plaintiff's case. It typically requires expert testimony demonstrating that the alleged defect or issue in the product was responsible for the specific injuries suffered by the plaintiff. Alternative explanations for the plaintiff’s specific injuries must also be ruled out—typically via a differential etiology—for specific causation to be established....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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