Articles Tagged with Artificial Intelligence

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Introduction

Artificial intelligence policy has often been characterized as a contest between those urging rapid innovation and those seeking greater regulation. A recently released statement entitled Pacing the Frontier suggests that this characterization may no longer be sufficient.

Signed by more than one thousand researchers and employees from leading AI organizations (including OpenAI, Anthropic, Google DeepMind, Meta, Microsoft, Amazon, and others) the statement does not advocate halting AI research. Instead, it urges governments to help develop the technical and institutional mechanisms needed to ensure that future advances remain under meaningful human oversight.

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Ohio has enacted a new law governing the use of drones by law enforcement, reflecting the growing effort by legislatures to adapt Fourth Amendment principles to rapidly evolving surveillance technologies. Signed by Governor Mike DeWine, House Bill 251 establishes that, in most situations, police officers must obtain a search warrant before using a drone to conduct a search when a warrant would also have been required had officers entered the location in person.

The legislation recognizes that unmanned aerial vehicles (UAVs) have become increasingly valuable investigative tools while also raising significant privacy concerns. Until now, Ohio law addressed some warrant requirements for surveillance conducted from manned aircraft but did not specifically regulate drones. House Bill 251 fills that gap by extending traditional constitutional search principles to unmanned aerial surveillance.

Principal Provisions

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David G. Badertscher

“Every generation of legal researchers inherits new tools. Their enduring responsibility is to learn how to use them wisely.”

Introduction

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Source: Mohamed Obaidy, Associate Director, Economic Policy Team, Center for New York City Affairs (CNYCA), Income Polarization Redux: NYC’s Wage Gains Are (Again) Flowing to the Top (2026).

Introduction

In Income Polarization Redux: NYC’s Wage Gains Are (Again) Flowing to the Top, Mohamed Obaidy examines recent wage, employment, and productivity trends in New York City and concludes that economic gains are becoming increasingly concentrated among higher-income workers and higher-paying industries. While New York City’s economy continues to grow and workers are becoming more productive, the benefits of that growth are not being distributed evenly across the workforce.

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Artificial intelligence is rapidly moving beyond experimentation in the legal profession and becoming embedded in the day-to-day operations of leading law firms. The latest example comes from Kilpatrick Townsend & Stockton LLP, which has announced the creation of an AI Lab dedicated to developing customized AI solutions for both its internal staff and its clients. The initiative reflects a growing recognition that off the shelf AI tools may not always address the specialized needs of legal practice, prompting firms to invest in tailored applications designed to enhance efficiency, knowledge management, client service, and legal workflows.

The establishment of a dedicated AI Lab also signals a broader shift occurring throughout the legal industry. Rather than viewing artificial intelligence solely as a productivity tool, many firms are beginning to treat AI as a strategic capability that can differentiate their services and strengthen client relationships. By bringing lawyers, technologists, and innovation professionals together in a structured development environment, firms hope to create practical solutions that address real world legal challenges while maintaining the professional standards, confidentiality requirements, and ethical obligations unique to the practice of law.

Kilpatrick’s initiative offers an opportunity to examine how law firms are evolving from consumers of legal technology to active developers of AI enabled services. It also raises important questions about the future role of lawyers, the increasing demand for legal technology expertise, and the ways in which artificial intelligence may reshape the delivery of legal services in the years ahead.

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The complete article “Your Conversations With AI May Not Be as Private as You Think,” published by Tech Xplore* in May 2026, reports on a study conducted by researchers at the IMDEA Networks Institute examining the privacy practices of leading generative AI platforms, including ChatGPT, Claude, Grok, and Perplexity AI. The researchers found that some AI systems incorporate tracking technologies associated with major technology companies such as Meta, Google, and TikTok, raising concerns about the extent to which user interactions may be monitored or shared with third-party analytics and advertising ecosystems. The following is an overview of the article:

According to the article, the study revealed significant variation in how AI services manage user privacy. While some platforms appeared to limit external tracking mechanisms, others transmitted metadata and usage information that could potentially be used to profile users or monitor behavioral patterns. The researchers emphasized that the concern is not necessarily that full conversations are publicly exposed, but rather that background data collection practices may operate in ways users neither expect nor fully understand.

The article also highlights the growing tendency of users to discuss highly personal, financial, medical, professional, and legal matters with AI systems. In light of this trend, the researchers caution against assuming that conversations with AI platforms are protected by the same confidentiality standards that apply to communications with lawyers, physicians, therapists, or other privileged professionals.

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Artificial intelligence is now woven into the daily fabric of legal work. From case law research to contract analysis and compliance monitoring, AI systems are accelerating tasks that once required hours of manual review. But as these tools become more capable, the legal profession faces a central challenge: How can lawyers trust AI in high‑stakes environments where accuracy, transparency, and defensibility are non‑negotiable?

Two concepts have emerged as foundational to answering that question: interpretability and retrieval-augmented generation (RAG). While distinct, they work together to create AI systems that are transparent, grounded in evidence, and aligned with professional legal standards. Although both have existed for some time, their integration into legal research remains in its infancy, and there is much to learn. This post explores how these systems are reshaping AI legal research based on a review of current industry sources.

Understanding Interpretability in Legal AI

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As artificial intelligence rapidly enters the criminal justice system (shaping everything from policing strategies to judicial decision-making) the need for clear guidance has become increasingly urgent. Two recent publications from the Council on Criminal Justice provide a timely and authoritative response:

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Metaphysics is often described as the branch of philosophy that asks the most fundamental question of all: what is real? It explores the nature of existence, identity, causation, and the structure of reality itself. While this may sound abstract, metaphysics is far from remote. In practice, it quietly shapes the assumptions underlying every legal system and every act of legal research.

From the time of Aristotle and Plato, metaphysics has served as the foundation of traditional philosophy. It provides the conceptual framework within which other fields, knowledge, reasoning, and ethics, operate. In law, that framework is not theoretical; it is embedded in doctrine, interpretation, and everyday practice.

Consider a few familiar legal questions:

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The March 25, 2026 edition of the ABA Legal Tech Newsletter arrives at a pivotal moment for the legal profession, coinciding with the opening of ABA TECHSHOW 2026, the American Bar Association’s flagship legal technology conference. The newsletter reflects a profession that has moved decisively beyond experimentation with technology and into a phase of strategic integration, governance, and long-term transformation.

1. From AI Adoption to AI Maturity

A central theme is the profession’s rapid transition from initial adoption of artificial intelligence to operational mastery. Over the past year, AI has become embedded in daily legal workflows—impacting research, drafting, case management, and client service. The newsletter emphasizes that the key challenge is no longer whether to adopt AI, but how to manage it responsibly, including training, oversight, and measurable value.

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