David G. Badertscher
“Every generation of legal researchers inherits new tools. Their enduring responsibility is to learn how to use them wisely.”
Introduction
David G. Badertscher
“Every generation of legal researchers inherits new tools. Their enduring responsibility is to learn how to use them wisely.”
Introduction
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).
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.
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.
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:
This new series on the Criminal Law Library Blog, Selected Law.com Alerts, curates and organizes notable legal developments drawn from Law.com’s daily alerts, with each post identified by date (e.g., Selected Law.com Alerts, April 14, 2026) and structured by topic for ease of reference. These entries are intended to highlight key issues, trends, and cases of interest to readers. Please note that while summaries and references are provided, access to the full text of articles cited from Law.com requires an active subscription to that service.
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.
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.