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Navigating AI’s Twin Perils: The Rise of the Risk-Mitigation Officer
Generative AI is reshaping trust and accountability in the digital landscape, leading to the emergence of the AI Risk-Mitigation Officer role. This strategic position blends technical, regulatory, and ethical expertise to proactively manage AI risks,...
The $20 Test: What a Parking Lot Taught Me About AI and Legal Judgment
When a young lawyer found a $20 bill, he faced a simple yet profound ethical choice. Decades later, Hon. Judge Ralph Artigliere (ret) compares his human decision to AI’s analysis, revealing why empathy, intuition, and...
Panel of Experts for Everyone About Anything – Part Two: Demonstration by analysis of an article predicting new jobs created by AI
In this article, Ralph Losey continues discussing the software, Panel of Experts for Everyone About Anything, and its demonstration while exploring potential job roles arising from AI, particularly the “Sin Eater” concept proposed by Professor...
Document Content vs. Metadata in eDiscovery AI: A Clarification of Scope, Access, and Accuracy
Clear separation between document content and metadata is essential for accurate AI-driven eDiscovery. Without proper handling, legal teams risk flawed timelines, missed privilege indicators, and incomplete review.
Avoiding the Third Rail of Legal AI: Don’t Let the Machine Think for You
As AI becomes more powerful, legal professionals face growing pressure to rely on it for core tasks. But true responsibility means using these tools wisely, without surrendering judgment, accountability, or the human craft of legal...
Chambers Guidance: Using AI Large Language Models (LLMs) Wisely and Ethically
Craig Ball discusses responsible AI use in appellate practice and shares Chambers Guidance with actionable tips for judges, co-prepared with Lynne Liberato.
Data at Risk: The Governance Challenge of Generative AI
This article examines the urgent need for adaptive data governance frameworks as generative AI challenges traditional models of consent, transparency, and accountability. Drawing on the EU’s latest report, it highlights the limitations of the GDPR...
Agentic AI is in the aiR
Relativity is harnessing the power of agentic AI to transform legal workflows, enabling autonomous systems to execute complex tasks with human-guided oversight.
AI Companionship and Machine Intuition: Rethinking Relationships in the Age of Artificial Empathy
At the 2025 Dublin Tech Summit, Dr. Lollie Mancey and Dr. Alessandra Sala examined how AI’s emotional fluency is reshaping human relationships and raising complex legal and ethical questions for information governance professionals.
Judicial Approaches to Acknowledged and Unacknowledged AI-Generated Evidence
This article delves into how courts manage acknowledged and unacknowledged AI-generated evidence, such as deepfakes, highlighting the evidentiary hurdles, psychological impacts, and proposed reforms to ensure fairness in litigation. Grossman and Grimm outline practical steps...
AI Can Improve Great Lawyers—But It Can’t Replace Them
The article discusses the anxieties surrounding the rise of legal AI and the fear of lawyers being replaced by machines. Despite concerns about automation, the author argues that not all aspects of legal judgment can...
“This Was a Collective Debacle”
In Lacey v. State Farm, the use of AI-generated content in legal briefs without proper verification resulted in significant judicial sanctions. The Special Master emphasized collective responsibility, underscoring the need for attorney oversight when using...