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Key Takeaways

  • AI creates significant opportunities, but organisations remain responsible for managing the risks.While AI can improve efficiency and decision-making across the recruitment lifecycle, businesses must ensure the technology is used responsibly and complies with legal, ethical and regulatory requirements. Accountability rests with the organisation using the AI, not the software provider.
  • Effective AI adoption

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    As AI systems continue to be adopted at scale, they are increasingly performing tasks carried out by human employees. From drafting documents, to writing code, to handling customer queries and concerns have grown about the economic risks this shift may pose, including job displacement and the erosion of the income taxes generated by human labour.This…

    As America celebrates its 250th year, the pulse of innovation that animated the Founders beats louder than ever. From the first patent debates to today’s courtroom clashes over artificial intelligence, George Washington’s legacy as a mill owner, pragmatic leader, and founding architect of the U.S. patent system remains strikingly relevant. Drawing on Washington’s own letters…

    As AI and machine learning become embedded in core business operations, they are also creating new and evolving antitrust risks. Companies must understand how these technologies can impact competition and regulatory scrutiny.
    In this video, DC partner Lauren Briggerman explores how AI use can raise antitrust concerns and outlines key considerations for businesses deploying AI-driven

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    In October 2025, UK regulator, the Competition and Markets Authority (CMA), published its final decision to designate Google as having strategic market status (SMS) in the UK in general search and search advertising services. This designation covered Google’s substantial and entrenched market power in general search and search advertising, and whilst Google’s Gemini AI tool…

    For many organizations, the question is no longer whether to adopt an AI governance program. Most organizations already have one (or at least the beginnings of one) in the form of AI use policies, intake processes, vendor diligence questionnaires, data-use restrictions, employee training and legal review procedures. But the AI landscape is moving faster than many of…

    This webinar explored how AI is reshaping the employment law and workplace landscape. As AI tools became more integrated into hiring, performance management and workplace decision-making, regulators moved quickly to establish new compliance requirements and define the boundaries of permissible use.The program provided an overview of the rapidly evolving legal landscape governing the use of

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