Articles Posted in Library Technical Services

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Europe’s legal artificial intelligence market may be entering a new stage of development. Italian legal AI provider Lexroom has made its first acquisitions, purchasing France based Query Juriste and Bulgaria based Praven Intelekt. The transactions extend Lexroom’s operations into five European countries and illustrate one possible strategy for building legal AI systems across jurisdictions whose laws, legal sources, languages, and professional practices differ substantially.

The acquisitions were announced on September 8, 2026. Artificial Lawyer characterized them as Lexroom’s first expansion through acquisitions, following its earlier organic entry into Germany and Spain. Together with its home market of Italy, the additions of France and Bulgaria give the company a presence in five European legal markets.

The developments also offer a useful window into the evolution of legal AI beyond the United States, particularly in a European market where technology increasingly crosses borders while law and authoritative legal information remain strongly jurisdiction specific.

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Introduction

This proposed legislation  is more consequential for libraries and government-information professionals than its title might initially suggest. It is not simply an internal GPO housekeeping bill; it would substantially rewrite the statutory framework governing the Federal Depository Library Program, digital preservation, permanent public access, cataloging, and the National Collection. In this post the strongest emphasis is on permanent public access, preservation of born digital government information, the modernization of the FDLP, and the implications for law librarians and researchers. Those features distinguish this bill from what might otherwise appear to readers to be a largely administrative modernization of GPO.

H.R. 9342, the GPO Modernization Act of 2026, was introduced on June 18, 2026, by Representative Stephanie Bice of Oklahoma. Its stated purpose is “[t]o revise certain authorities of the Government Publishing Office, and for other purposes.” The bill was referred to the House Committee on House Administration and the Committee on Oversight and Government Reform.
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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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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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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

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Introduction

Stanford Law School has recently announced the launch of the Legal Innovation through Frontier Technology Lab (Liftlab),led by Stanford CodeX research fellow Megan Ma, who will serve as liftlab’s executive director, alongside professor of law Julian Nyarko. Liftlab ia a bold new initiative designed to explore how artificial intelligence and other frontier technologies can reshape the practice of law. Unlike earlier waves of legal technology that focused mainly on cost savings and efficiency, Liftlab has a broader ambition: to make legal services not just faster or cheaper, but better, more equitable, and more accessible.

This mission has implications well beyond law firms and classrooms. Law libraries: whether academic, government, court, firm-based, or public stand to benefit greatly from Liftlab’s research, tools, and experiments. By acting as trusted intermediaries between new technologies and legal practitioners, libraries could become vital testing grounds and educational partners in this era of transformation.

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Introduction

Between now and 2030, law-librarian roles will transform rather than vanish. While routine tasks like first-pass reference triage, some technical cataloging, and current-awareness pathfinders will increasingly be automated, demand will rise for librarians with expertise in AI policy, knowledge architecture, data stewardship, research quality assurance, vendor evaluation, and legal analytics.

Institutions that pair clear AI governance, staff training, and data management will not only retain headcount but also create specialist positions, reshaping the profession.
Key sources: AALL State of the Profession 2025 · ILTA 2024 Tech Survey · ABA AI TechReport 2024 · Thomson Reuters Future of Professionals 2024 · WEF Future of Jobs Report 2025

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A review of  Unlocking the Future: Leveraging Technology for Personal and Professional Success, by Jeffrey M. Allen & Ashley Hallene (ABA Book Publishing 2025), 480 pp., ISBN 978-1-63905-629-3; e-book ISBN 978-1-63905-630-9; Senior Lawyers Division sponsor; list price $39.95.

The Book in Brief

In this book, Jeffrey Allen and Ashley Hallene aim to demystify fast-moving technologies for working professionals, especially lawyers, law librarians  and others specializing in the law, by pairing plain-English explanations with practical checklists, tool rundowns, and risk-management advice. The American Bar Association positions the book as a comprehensive guide to “essential tools, AI, cybersecurity, [and] health tech,” organized into meticulously crafted chapters that double as a reference you can consult as needed. It runs 480 pages and is available in both print and e-book formats, with the Senior Lawyers Division serving as sponsor.¹ The ABA’s “New Books” listing shows a $39.95 list price.²

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As generative artificial intelligence (GenAI) systems become increasingly integrated into search engines, legal research platforms, healthcare diagnostics, and educational tools, questions of factual accuracy and trustworthiness have come to the forefront. Erroneous or hallucinated outputs from large language models (LLMs) like ChatGPT, Gemini, and Claude can have serious consequences, especially when these tools are used in sensitive domains.

The sheer volume of information processed by AI systems makes comprehensive auditing a significant challenge. This necessitates finding efficient and effective strategies for human oversight.  In this context, the question arises: Should librarians, especially those trained in research methodologies and information literacy, be involved in auditing these systems for factual accuracy? The answer is a resounding yes.

The Librarian’s Expertise in Information Validation

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EXECUTIVE SUMMARY:

The rapid advancement of artificial intelligence (AI) has transformed numerous industries, and legal research is no exception. Emerging AI-powered tools have introduced new efficiencies in case law analysis, contract review, compliance monitoring, and legal document automation. Among these innovations, DeepSeek, an open-source large language model (LLM), has garnered attention for its potential to revolutionize legal research support systems.

DeepSeek offers advanced reasoning capabilities, text summarization, and document analysis functions that could significantly enhance legal workflows. Its open-source nature and adaptability set it apart from proprietary legal research platforms such as Westlaw Edge, LexisNexis, and Casetext’s CoCounsel. However, its viability as a legal research tool must be assessed not only in terms of its technological capabilities but also through the lens of accuracy, security, regulatory compliance, and ethical considerations.

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