Articles Tagged with Legal Research AI

Welcome to The Education Edge—the new name and refreshed look of what was formerly the [AALL] Education Update. Designed to keep you learning and moving forward, The Education Edge highlights timely resources, ideas, and opportunities to support your professional growth.

Explore resources of The Education Edge.

Two recent opinion columns published on Justia Verdict – Legal Analysis and Commentary from Justia examine the legal, political, and moral implications of the continuing disclosures surrounding the Jeffrey Epstein investigations. Written by Professor Marci A. Hamilton of the University of Pennsylvania and founder of CHILD USA, the essays present a forceful argument that accountability for systemic abuse requires sustained legal pressure and public transparency. The views expressed are those of the author and do not represent the official position of Justia.

1. “The Three Avenues to Justice in the Epstein Cases” (Feb. 24, 2026)

In The Three Avenues to Justice in the Epstein Cases, Professor Hamilton argues that meaningful accountability is likely to emerge through three principal legal pathways rather than through federal prosecutorial initiative alone.

A recent practitioner commentary offers a confident assessment of the current state of large language models (LLMs) in legal practice, arguing that the primary barriers to adoption are no longer questions of intelligence or reliability but rather issues of infrastructure and workflow integration. Writing from the perspective of a lawyer who uses advanced models daily, the author contends that modern systems have already reached a level of practical competence sufficient for much of routine legal work, and that the profession’s hesitation reflects outdated assumptions about hallucinations and model limitations.

Central to the argument is the claim that hallucinations,  once the dominant concern surrounding generative AI,  have largely receded as a meaningful obstacle. According to the author’s experience, newer models rarely produce fabricated information, and overall error rates compare favorably with those of competent junior associates. This view reflects a broader shift in perception: rather than treating LLMs as experimental tools requiring constant skepticism, the author frames them as increasingly dependable collaborators capable of supporting substantive legal tasks.

The post also challenges prevailing narratives about the intellectual difficulty of legal work. While acknowledging that certain cases demand deep expertise, the author suggests that the majority of legal tasks rely on skills such as careful reasoning, synthesis of precedent, structured writing, and research , areas where modern LLMs already excel. By reframing legal practice as process-driven rather than exclusively intellectually rarefied, the commentary positions AI as well aligned with the day-to-day realities of the profession.

EXECUTIVE SUMMARY:

Professor Peter Lee’s VERDICT essay argues that synthetic data may revolutionize AI development by providing scalable, legally safer training material. Yet he warns that artificial datasets introduce new risks such as model collapse, bias, and misuse that demand proactive legal oversight. Rather than replacing existing regulatory debates, synthetic data transforms them, requiring courts, policymakers, and information professionals to rethink how innovation, privacy, and intellectual property intersect in the AI era

BETTER THAN THE REAL THING?

FROM THE AMERICAN ASSOCIATION OF LAW LIBRARIES:

The legal information landscape is shifting faster than ever—AI, staffing changes, and innovative services are reshaping the profession. The 2025 AALL State of the Profession Report delivers the data, trends, and real-world insights you need to stay ahead. Use this essential resource to guide planning, showcase impact, and anticipate what’s next. Available in digital, print, or bundle formats… The AALL State of the Profession report offers a comprehensive view of the law library and legal information landscape, highlighting the contributions, challenges, and aspirations of legal information professionals. Designed as a tool for benchmarking, advocacy, strategic planning, and personal growth, it serves as a valuable resource for navigating and advancing the field. The 2025 State of the Profession was published on June 24,2025.

EXECUTIVE SUMMARY.

SciTech Magazine is published by the Science and Technology Section of the  American Bar Association.

INTRODUCTION:

The Winter 2026 issue of The SciTech Lawyer, published by the American Bar Association’s Science & Technology Law Section, arrives at a pivotal moment in the legal profession’s evolving relationship with artificial intelligence. Centered on the theme of responsible AI use, this issue explores how rapidly advancing technologies are reshaping legal practice while raising urgent ethical, regulatory, and professional responsibility concerns.

Introduction.

This posting draws on guidance and analysis from AALL, IFLA, ACRL, the ABA, Thomson Reuters, LexisNexis, NIST, Stanford HAI, and the World Economic Forum, among others. Artificial intelligence is no longer a speculative “future issue” for law and justice information professionals. By 2026, AI will be embedded, sometimes invisibly, into many legal research platforms, court systems, compliance workflows, and knowledge-management environments. The central question is no longer whether AI will affect our work, but how it reshapes professional responsibility, judgment, and value.

From Research Assistance to Research Accountability

During the week ending October 24, 2025 we have received listings of 13 Government and Administrative Law Summaries,  20 Constitutional Law summaries,  54 Criminal Law Summaries, 3 White Collar Law Summaries,  2 Intellectual Property Summaries, and 6 Medical Malpractice Summaries.   We plan is to continue posting opinion summaries, under corresponding areas of law, weekly whenever possible in order to keep blog readers updated.  To gain access to these case summaries, click on the corresponding links below:

Opinion Summaries Posted for Week Ending  October 24, 2025:

Criminal Law

The American Association of Law Libraries (AALL) has introduced  Body of Information,(BoK), an innovative information tool designed to serve as blueprint for fostering the career development of information professionals. It defines the the domains, competencies and skills todays legal information professionals need for success.  BoK is future-focused and sets the stage for continued development; regular reviews and updates which will maintain BoK’s relevance as shifts in the profession occur.

AALL’s Body of Knowledge (BOK) Competencies Self-Assessment  is an innovative tool that “will help you gauge not only where there is alignment with the BoK, but also where opportunities exist for improvement and enhancement. This tool is self-scored with no right or wrong answers. Use the results to make a professional development plan and complete the competencies tool at desired intervals to measure growth over time. Receive a curated list of AALL educational resources based on your individual responses.”

For more information, click here

Two months ago, during a media briefing at its New York City offices, Thomson Reuters offered a glimpse of what it called the “next generation” of its CoCounsel artificial intelligence platform, a shift, the company said, from AI tools that simply respond to prompts to intelligent agentic systems capable of planning, reasoning, and executing complex, multi step workflows in professional settings.

That vision became reality on August 5, 2025 with the official launch of CoCounsel Legal, a platform that blends agentic workflows with advanced research capabilities, all powered by Westlaw’s vast legal content. Thomson Reuters is positioning it as the most comprehensive AI solution yet for legal professionals.

First unveiled to the media during a July 24 press briefing, the new platform introduces two major innovations: guided workflows that can manage sophisticated legal tasks from start to finish, and Deep Research, an AI-powered research engine that leverages Westlaw’s proprietary tools to deliver thorough, authoritative results. In an August 5 posting in LawSites Weekly Bob Ambrogi writes… “Unlike traditional AI-assisted research that summarizes search results, Deep Research creates research plans, executes them iteratively, and delivers comprehensive reports with transparent reasoning”

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