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As distressed M&A activity inevitably heats up, strategic buyers and equity sponsors that have sat on the sideline for an extended period of time will likely have expanding interest in purchasing viable, but over-leveraged, businesses that are being sold out of bankruptcy.
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This article focuses on the financing opportunities buying the business of a Chapter 11 debtor will create for lenders, highlights the benefits of financing bankruptcy acquisitions, and identifies some potential challenges and best practices to ensure that lenders minimize any risks and receive maximal protection for themselves.
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We're well into 2022, and despite the flip of the calendar, COVID is still sweeping the U.S., it feels like not much has changed. Or has it?
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An overview of redesigns at the ITC, a discussion of the ITC's recent determination in Certain Audio Players and Controllers, and identifies some considerations to keep in mind when litigating redesigns at the ITC.
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While the DOJ Civil Cyber-Fraud Initiative is still in its early stages and cybersecurity regulations are evolving, whistleblower plaintiffs have already begun leveraging the FCA to pursue alleged noncompliance with government cybersecurity requirements.
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The decision in Maddox v. Bank of N.Y. Mellon Trust certainly affords safeguards to lenders and mortgagees in that Maddox now narrows a borrower's ability to pursue class damages in federal court for lenders and services for failure to timely record mortgage satisfactions.
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There is no way to guarantee a lateral's clients will make the move to a new firm. But a series of questions can examine the quality of these relationships and the likelihood that the client will move with the lateral candidate.
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This installment of our appellate series reviews recent cases addressing the district courts' review of interlocutory bankruptcy court orders and the enforceability of appellate deadlines. As we have shown with other case law governing appeals, real obstacles confront practitioners appealing from bankruptcy court rulings.
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Data is the fuel for software development, and developers use historical data from existing products to train algorithms and build AI models. Companies may be well aware of privacy and regulatory restrictions on data use, but often do not consider the potential impact of data use restrictions on intellectual property ownership and use rights.
