I’m launching the Successful Innovation Learning Outcomes Notebook.
It’s a deliberately bounded experiment with independent value, built to make my work easier to explore, question, apply, and build upon through an AI-assisted interface.
To create it, I took the PDF of my book, Successful Innovation Outcomes in Law: A Practical Guide for Law Firms
Beyond Hallucination: Semantic Laundering, Semantic Stewardship, and Prompting Aikido in Human-AI Collaboration
Abstract:
The primary conversation surrounding generative artificial intelligence centers on factual fabrication: hallucination. While hallucination matters, it represents a crude and easily detected failure mode. This paper identifies a second, quieter epistemic risk: semantic laundering. Large language models produce exceptionally fluent, coherent, and
At a certain point in a long AI session, I can feel the texture change.
The words are still smooth. The tone is still confident. But something underneath has started to slide and give way. The session is still moving forward, yet the logic is no longer holding together in the same way.
That happened
Let me explain why that is a principle, not a preference, and
We’ve spent the last couple of years treating generative AI like a vending machine. Select a task. Insert a prompt. Retrieve a product. And to be fair, in many legal and professional contexts that’s exactly the right frame: accuracy and precision matter and “creative” output in payroll or billing codes is usually just a polished
As the legal market approaches the end of 2025, a pervasive, quiet anxiety has taken hold. Between the “spreadsheet economics” of law firm layoffs and the looming shadow of 2026, many senior professionals are responding with a predictable, yet dangerous, reflex.
They are working
If you are a high-achieving professional, you live with a fundamental tension. You know that deep, strategic thinking is the engine of your success, yet your calendar is a fortress that rarely permits the quiet time required for it. Important decisions loom, but the sheer complexity of your options leads to the all-too-familiar state of
I’ve been working on organizing and optimizing my AI prompts and prompting methodologies. I noticed that I have two major categories of approaches.
The first I call “complex, structured prompting.”
Google Gemini describes that, and I think accurately, as “a systematic, engineered way to interact with AI. It’s about building a personalized ‘cognitive operating system’
I spent the month of November doing what I called an “AI Sprint,” in which I experimented with a lot of new approaches and tried generating new types of outputs. I haven’t shared much of that yet, but I thought this exploration of what “AI in the Middle” might mean in law and law practice
Is the legal profession shifting away from litigation, perhaps dramatically? Do we need to rethink legal education in light of changing practice patterns? Are only 25% of US lawyers now litigators? Is that percentage decreasing and at what rate? How can we find out?
I heard a while back that only a relatively small percentage
