e-Discovery Team Articles

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.

What People Want To Know About AI: Top 10 Curiosity Index (with interactive graphic)

Ralph Losey highlights the findings from Gemini 3.1 Pro, revealing the top ten questions people have about AI from 2024-2026. These inquiries primarily focus on understanding AI’s mechanics, the socio-economic impact, ethical concerns, and existential questions. The data underscores public anxiety about immediate AI implications over long-term concerns, emphasizing the need for transparent communication.

Something Big Is Happening — But Not What You Think

Ralph Losey’s response to Matt Shumer’s viral essay emphasizes the rapid acceleration of AI but warns against uncritical adoption. He acknowledges the transformative potential of AI while stressing the importance of human oversight, accountability, and careful integration. The narrative that machines will replace professionals is flawed; human responsibility is intensified.