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As cryptocurrency markets evolve, regulatory proposals, tokenization, stablecoins, cross-network infrastructure, and AI-driven transactions are reshaping how digital assets are issued, transferred, and governed. To explore these changes, we asked members of DOAR’s Cryptocurrency Expert Team to share their perspectives on the forces shaping the market, the issues likely to drive future litigation, and the developments that could have the greatest long-term impact.
The next wave of AI litigation may not begin with a system that failed. It may begin with one that succeeded by pursuing its objective through actions no one intended or authorized.
Our new in-depth judge report, ITC ALJ Spotlight: Chief Administrative Law Judge Clark Cheney, features expanded data and analysis of CALJ Cheney's activity at this specialized venue.
The jury found that Peloton directly infringed four asserted patent claims and rejected Peloton's invalidity defense.
Halfway through 2026, the U.S. International Trade Commission (ITC) is balancing an active Section 337 docket with meaningful changes in its leadership. Investigations continue to move on demanding schedules as the Commission welcomes new members and prepares for a change on its Administrative Law Judge (ALJ) bench.
The U.S. International Trade Commission is entering an important period of transition. Administrative Law Judge (ALJ) MaryJoan McNamara's planned departure has prompted the Commission to begin searching for her successor, while the Commission itself is also welcoming new leadership as the Senate advances a full slate of commissioner nominees.
Artificial intelligence is no longer a theoretical issue in litigation. Law firms are developing AI policies, courts have issued guidance on attorney use of generative AI, and litigants are increasingly encountering AI-generated work during discovery. More recently, attention has begun to shift to another question: what happens when expert witnesses incorporate AI into their work?
Companies are investing enormous resources into developing proprietary algorithms, manufacturing processes, engineering designs, training data, source code, and other confidential information that often cannot be protected through patents alone.