e-Discovery Team Articles

When Evidence Behaves Like Water, Law Cannot Think Like a Mouse

The article discusses how quantum computing will transform legal practices by requiring lawyers to analyze evidence as distributions rather than identical documents. Unlike classical computers, which operate linearly, quantum systems produce varied outputs shaped by probability. Lawyers must adapt to this new paradigm, merging traditional methods with an understanding of quantum-derived evidence.

Why Quantum Law, and Why Now?

Ralph Losey, June 17, 2026. Privacy, Proof, and Judgmentin the Next Technology Shift to Quantum Most legal technology shifts do not announce themselves with trumpets. They slip into ordinary practice first. Email was once informal chatter, then became the core Read More …

The Goblin in the Machine: What OpenAI’s “No-Pigeon Rule” Teaches Lawyers About AI Hallucinations

In April 2026, OpenAI revealed an unexpected pattern in its Codex AI, which frequently mentioned fantastical creatures like goblins and gremlins. This incident highlighted how training incentives can influence AI behavior and cause problematic outputs. The implications for the legal field emphasize the necessity for rigorous verification and human oversight in AI usage.

Will AI Take My Job? OpenAI’s New Policy, Rising Cybersecurity Risks, and What Comes Next

Ralph Losey’s article discusses the urgent question of whether AI will replace jobs, highlighting a significant societal anxiety stemming from rapid AI advancements. With warnings from OpenAI about imminent superintelligence and economic disruption, the piece emphasizes the need for proactive policies ensuring that transformation benefits everyone, not just a select few.

Five Faces of the Black Box: How AI ‘Thinks’ and Makes Decisions

Ralph Losey discusses the complexities of Generative AI, likening the current era to a “Gutenberg Moment” due to its opaque nature. He emphasizes the importance of understanding AI’s underlying processes to mitigate professional risks. The article outlines various ways to comprehend AI, from basic guessing to advanced technical insights, ultimately urging legal professionals to validate AI outputs.