Diversity & Technology: Training Your AI to Be More Inclusive

Read These Next

• 

  Privacy Risk Management & Data Minimization

  By Therese Craparo and Sarah Bruno

  Many organizations — from growing start-ups to mature, well-established companies — are struggling with the new reality of what it means to manage data in an era of digital transformation, exponential data growth, and expanding regulatory regimes focusing on data management and minimization.

  Read More ›

• 

  Digital Dibs: Rival Views of Generative AI Copyrights

  By Greg Moreman

  GAI platforms like ChatGPT and OpenAI often require very little human input, shattering this legal landscape’s framework by posing a simple question: Who authored the material? We’ll explore how two countries are answering this question in different ways.

  Read More ›

• 

  Empowering Legal Professionals: Navigating AI Solutions for Efficiency and Data Security

  By Michael T. Murray and Tony Donofrio

  Integrating AI tools into legal practice without compromising the security of sensitive client information is a paramount concern. In this article, we’ll examine how AI is revolutionizing certain aspects of legal work, while offering best practices for employing these technologies and providing guidance for legal professionals in selecting the right AI products and service providers.

  Read More ›

• 

  Pitfalls In Personal Device Data Collection

  By Marjorie Peerce and Marguerite O’Brien

  The increasing frequency of “bring your own device” policies creates serious implications for subpoena recipients and litigants to ensure compliance with discovery demands. And courts across the country consider such personal mobile data fair game. To avoid pitfalls —and sanctions — counsel must take proactive steps to ensure proper preservation and collection of personal mobile data and verify that clients comply.

  Read More ›