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LJN Newsletters

  • In 2019, the Uniform Partition of Heirs Property Act/RPAPL §993 (the UPHPA) reshaped the rights of co-owners of inherited property in New York, replacing the traditional, sale-favoring partition system with a multi-layered process designed to limit the right to seek partition and to prioritize family ownership. The Second Department’s sweeping decision confirms that the partition landscape has drastically changed.

    December 01, 2025Christopher Ryan Clarke
  • In a decision of first impression, the U.S. Bankruptcy Court for the Northern District of Illinois imposed sanctions on a debtor’s counsel and his law firm for filing a brief that included fabricated citations to case law and nonexistent quotations that were generated by AI.

    December 01, 2025Lawrence J. Kotler and Drew S. McGehrin
  • Can a sale that does not actually expose the to-be-patented invention to the public destroy the novelty of that invention? The answer to this question, which is often somewhat surprising to inventors and business owners, is “yes” — there are certain circumstances in which even a nonpublic, secret sale can trigger the novelty bar.

    December 01, 2025Travis W. Bliss
  • This article surveys the emerging regulatory and legal AI landscape and consider steps the hospitality industry stakeholders can take to safeguard against potential exposure as they consider adopting AI tools to drive improved performance.

    December 01, 2025Todd E. Soloway and Bryan T. Mohler
  • In an increasingly competitive legal landscape, publishing high-quality articles is one of the most effective ways for attorneys to demonstrate subject-matter expertise, attract clients, and strengthen professional credibility.

    December 01, 2025Sharon Meit Abrahams
  • When can an artist using AI tools copyright their work? Earlier this year, the Copyright Office addressed the issue and rejected the proposition that only prompting an AI model can create a copyrightable work. But Copyright Office’s analysis missed that “randomness” for a computer means something entirely different than we generally think, ultimately underselling the amount of control someone can have over a model’s output.

    December 01, 2025Dallas Cire