Category «KM»

Teaching Legal Research in the Generative AI Era: When Source Blindness and Source Erasure Collide (Part 1)

Tanya Thomas, Research and Instructional Technology Librarian, raises the argument that we are training a generation of lawyers who rarely engage with the raw materials of their profession, and are increasingly consuming only the processed, pre-digested, AI-synthesized versions. Students are suffering from what we might call source blindness, the inability to distinguish between fundamentally different types of sources, compounded by source erasure, where sources disappear behind AI-generated summaries.

Subjects: AI, Education, KM, Law Librarians, Legal Research, Legal Research Training, Legal Technology

The Imminent AI Bubble Crash (and Why It Won’t Matter in the Long Run)

This article examines why today’s AI boom resembles the dot-com bubble—soaring valuations, unprofitable companies, copy-cat entrants, and heavy speculation driven in part by infrastructure providers themselves. Drawing parallels from 1999 to now, Jerry Lawson argues that although an AI correction is inevitable, it won’t derail the long-term transformation AI will bring. The bubble will burst—but the technology will endure, and the real winners will emerge in the next wave.

Subjects: AI, Economy, Financial System, KM, Legal Profession, Legal Technology

LLRX October 2025 Issue – Articles and Columns

The Trump Administration’s Continued War Against Science, Research, Public Health, and the Rule of Law – Part 4 – This the fourth in a series by Sabrina I. Pacifici documenting the Trump administration’s relentless attacks against science, medicine and public health, government sponsored data collection and reporting, climate science, and censorship of government documents and federally …

Subjects: KM

LLRX September 2025 Issue – Articles and Columns

The Trump Administration’s Continued War Against Science, Research and Public Health, Part 3 – This is a follow up to two recent articles by Sabrina I. Pacifici on the Trump administration’s relentless attacks against science, medicine and public health, government sponsored data collection and reporting, climate science, free speech, and the censorship of federally funded …

Subjects: KM

Dear ChatGPT: Words Matter

Stephen Embry writes about how much we might be losing when we let AI sanitize our word choices: the difference between good and memorable often comes down to a single word. For lawyers especially, professionals whose job is communication and persuasion, completely ceding editorial judgment to algorithms that prioritize blandness over impact is a mistake. Embry states – Words matter. Don’t let robots choose yours.

Subjects: AI, KM, Law Firm Marketing, Legal Profession, Legal Technology

The Operational Protocol Method: Systematic LLM Specialization Through Collaborative Persona Engineering and Agent Coordination

This paper by Dennis Kennedy introduces a systematic methodology for transforming generic Large Language Models into specialized, persistent AI advisors and helpers through structured protocol frameworks and collaborative development processes, enabling reliable human-AI collaboration for complex decision-making across professional and personal domains. Large Language Models consistently underperform as specialized advisors due to context drift, personality inconsistency, and inability to prioritize curated knowledge sources. This paper introduces the Operational Protocol Method, a systematic approach for LLM specialization and assistance through structured persona engineering and collaborative development processes. The method transforms generic LLMs into reliable subject matter expert advisors while enabling coordinated multi-agent systems that maintain expertise boundaries across complex advisory tasks. Case studies in personal finance and note-taking demonstrate the method’s practical effectiveness and versatility across domains.

Subjects: AI, Financial System, KM, Legal Research, Training

LLRX August 2025 Issue – Articles and Columns

The Trump Administration’s Continued War Against Science, Research and Public Health, Part 2 – This is a follow up to Sabrina I. Pacifici’s July 31, 2025 article, The Trump Administration’s Continued War Against Science, Research and Public Health. In just one more month the administration has ramped up its use of unsupportable actions to expand …

Subjects: KM

1500 Years Versus 4 Hours: The AlphaZero Project and What It Means for Artificial Intelligence

Jerry Lawson, a master of both IT matters as well as chess, addresses the question – will computers ever achieve the holy grail of artificial general intelligence (AGI)—an intelligence that matches or surpasses human abilities across virtually all cognitive tasks? Experts disagree not only on the feasibility but also on the desirability of such an outcome. Optimists envision an era of abundance. Pessimists fear an existential threat.

Subjects: AI, KM, Legal Technology, Search Engines

AI slop and the destruction of knowledge

Iris van Rooij is Professor of Computational Cognitive Science at the School of Artificial Intelligence in the Faculty of Social Sciences at Radboud University Nijmegen, The Netherlands. Her research focuses on the computational foundations of cognitive science. Recently she was looking for information on what cognitive scientists mean when they speak of ‘domain-general’ cognition. To her surprise and dismay, she hit upon a ScienceDirect page that ‘defined’ the concept using, as she terms it, AI Slop. She shares the thread of her email communications with the Elsevier Helpdesk that detail her concerns about AI generated definitions, and links within articles, and the fact that authors cannot say ‘no’ to their work being used for AI training and AI generated texts. In addition, she includes references and recommended readings about AI’s impact on education and the future of academia.

Subjects: AI, KM, Legal Research, Technology Trends