LLMs don't store personal data like databases do, privacy expert argues
A new analysis from the Future of Privacy Forum questions assumptions about how Large Language Models handle personal data. Yeong Zee Kin, CEO of the…
AI is changing the world faster than most realize
While firms debate ethics opinions, the technology is already reshaping how legal work gets done, priced, and delivered.
A realistic AI control framework that breaks down at superintelligence
"Rather than assuming that agents will always execute the best attack strategies known to humans, we demonstrate how knowledge of an agent's actual capability profile can inform proportional control evaluations, resulting in more practical and cost-effective control measures."
Accuracy is not everything, even to lawyers
Technical accuracy gets you to functional. User comprehension gets you to transformational.
The four-way split that's reshaping legal tech AI decisions
"Getting it right means competitive advantage; getting it wrong means expensive operational theater that impresses no one."
AI deployment forces the hardest choice between speed and skepticism
"For AI product development, speed bumps aren't obstacles to deployment—they're the infrastructure that makes rapid, responsible deployment possible."
AI agents force a rethink of delegation law as autopilots replace copilots
AI agents are shifting from copilots to autopilots, and Noam Kolt warns their speed, opacity, and autonomy demand governance rooted in inclusivity, visibility, and liability—urgent work for product and legal teams before regulation arrives.
Three technical ingredients determine enterprise agent reliability
The intersection of AI agents and enterprise accountability fascinates me, particularly the challenge of building systems that can operate autonomously while maintaining complete audit trails and decision traceability.
