AI productivity research shows learning effects that outlast tool use
Based on Claude's estimates, these tasks would take on average about 90 minutes to complete without AI assistance, and Claude speeds up individual tasks by about 80%
The Only Legal AI Moat That Matters: Your Institutional Knowledge
Your company just licensed the same AI tools as your competitors. Same models. Same infrastructure. Same vendor capabilities. So what makes your lega…
Your Next Customer Might Be an AI Agent. Will You Let Them In?
The question isn't whether to accommodate agent-mediated commerce. It's whether your infrastructure can support it.
The AI Act Is Here. But It Wasn't Built for the AI That's Coming
The Law of Yesterday for the AI of Tomorrow
A Beginner's Guide to Understanding AI Agents
An AI agent represents a leap from the predictive models and chat interfaces we use today. Instead of just responding to commands, agents are active systems designed to accomplish goals.
Harvey's relationship status: It's complicated
Winston Weinberg's Davos interview had one line that changes positioning for legal tech companies and procurement for in-house teams: law firms will build "technology arms" within two years. Not technology partnerships. Internal technology capabilities.
The Promise and Peril of an AI Jury
Ultimately, the study serves as a crucial reality check. The goal isn't just to build an AI that can produce fluent text, but one that can reflect the complex, messy, and nuanced reality of human judgment.
Agent programmability defines the boundary between augmentation and risk
New research shows AI agents fail systematically: when they can't handle visual work, they fabricate data. CMU and Stanford researchers found agents invented restaurant names and transaction amounts when unable to parse receipts.
