Featured Analysis
Different Clocks: What the Stanford Union Experiment Reveals About Coherence
When Stanford researchers gave AI agents repetitive work under vague, unaccountable feedback, the models started producing collective-bargaining language. Everyone read it as a mirror of the training data and concluded the lesson was governance. It is not. The experiment shows something we have no clean name for: any sufficiently rich process runs on more than one clock, and when a fast clock and a slow one fall out of step with nothing to reconnect them, the system generates structures to restore coherence. That is exactly the failure mode AI implementation drags into the light inside real organisations.
Sullivan & Cromwell, OpenAI's Counsel, Files a Brief Full of AI Hallucinations
The Apprenticeship Is Breaking — and Almost Nobody Is Saying So
Where Does the Company Remember? Institutional Knowledge in the Age of AI
When AI Enters the Room, Your Best Thinking Leaves
AI Literacy Is Not a Compliance Burden. It Is the Only Defence Against Jobless Growth.
The debate about Article 4 has been framed as regulation versus competitiveness. That framing is wrong. The real question is whether the productivity gains from AI will reach workers or only shareholders. AI literacy is the mechanism that determines the answer.
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The Digital Omnibus and Article 4: What Actually Changes
The European Commission has proposed weakening the AI literacy obligation that has been binding since February 2025. Here is what the proposal actually says, what the analysts say about timing, and what you should do right now.
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ING Was Fined 775M for Understaffing Compliance. Now They're Cutting 1,250 Jobs.
In 2018, ING paid 775 million euros because they did not fund their anti-money-laundering programme properly. They tripled headcount to 6,000. Now they are cutting 20 percent and calling it AI. Across the river, ABN Amro is cutting 35 percent of its compliance division. This is not efficiency. This is the competence paradox playing out in real time.
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Market Analysis
Norm Law: The First Credible Test of the AI-Native Firm
When the former chair of Sidley Austin leaves for an AI-native firm backed by Blackstone, the story is no longer startup hype. Norm Law is the first credible test of whether legal AI can scale without hollowing out the competence it depends on.
June 4, 2026 16 min read
Tool Evaluations
How to Evaluate Legal AI Without Falling for the Demo
Most legal AI buying processes are too easy to impress. This framework shows how to evaluate vendors with the discipline the category actually requires -- across hallucination risk, security, verification burden, and operational fit.
June 4, 2026 16 min read
AI Strategy
Forward Attribution: Rebuilding Recognition When the Record Is Gone
Almost every system we use to recognise what a person can do looks backward. It verifies a record of what already happened — the degree, the licence, the repaid loan, the passport. When the record is lost, the machinery has nothing to work with, and the person is treated as if their capability went with the paper. A group of artisans in South Africa taught me that recognition can be rebuilt the other way: forward, from what people can demonstrably do now and what they can do together. That is the half no ledger solves, and it is the half that matters most.
June 4, 2026 9 min read
AI Strategy
Different Clocks: What the Stanford Union Experiment Reveals About Coherence
When Stanford researchers gave AI agents repetitive work under vague, unaccountable feedback, the models started producing collective-bargaining language. Everyone read it as a mirror of the training data and concluded the lesson was governance. It is not. The experiment shows something we have no clean name for: any sufficiently rich process runs on more than one clock, and when a fast clock and a slow one fall out of step with nothing to reconnect them, the system generates structures to restore coherence. That is exactly the failure mode AI implementation drags into the light inside real organisations.
June 3, 2026 10 min read
Risk & Hallucination
Sullivan & Cromwell, OpenAI's Counsel, Files a Brief Full of AI Hallucinations
The firm advising OpenAI on safe AI deployment apologised to a federal judge after filing an emergency motion riddled with fabricated citations. Liga reads the apology letter and traces the competence failure that reaches the top of the profession.
April 25, 2026 9 min read
AI Strategy
The Apprenticeship Is Breaking — and Almost Nobody Is Saying So
AI is eating the first-draft work juniors used to learn on. The Big Four are cutting graduates. The big law firms are paying for 400 non-billable training hours per associate. IBM is tripling entry-level hiring. The investment banks are silent. Of the four bets, only one is also a strategy.
April 23, 2026 8 min read
AI Strategy
Where Does the Company Remember? Institutional Knowledge in the Age of AI
AI is automating the tasks juniors used to learn on. Without a deliberate memory, the roles themselves will forget how they work. The full research treatment of why a wiki is not a memory, why aviation got it right fifty years ago, and what the third layer of competence actually looks like.
April 22, 2026 18 min read
AI Strategy
When AI Enters the Room, Your Best Thinking Leaves
In 1961, the CIA's confident briefing silenced the smartest people in the room. In 2026, Wharton researchers proved AI does the same thing — and called it cognitive surrender.
April 12, 2026 8 min read
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