The Only Constant

• Laura Jeffords Greenberg | On AI in legal, and the intricacies of ambiguous endpoints | Episode #79

  In this episode, Lasse Rindom speaks with Laura Jeffords Greenberg, lawyer, legal tech leader and top voice, educator, and Head of the AI Legal Academy at Wordsmith. Born in Silicon Valley and now based in Europe, Laura brings a unique perspective on how legal work is adapting - and sometimes resisting - the AI wave. Their conversation dives into both the structural and cultural forces shaping the legal profession: How in-house lawyers are embracing AI to stop reviewing NDAs and start preventing risk What happens when you train a junior lawyer on AI - but they’ve never learned what “good” looks like Legal language vs. code: ambiguity, jurisdictional nuance, and why “best efforts” might not mean what you think Why Silicon Valley has always hated lawyers - and what it says about the future of regulation and power This is an episode that goes deep on AI, and on legal, to ask what governs both worlds and what will it mean when they collide.   Do you want to know more about Laura Jeffords Greeberg?: Laura Jeffords Greenberg is the Head of Wordsmith Academy, where she teaches legal teams how to use AI with clarity, confidence, and curiosity. A former in-house lawyer turned legal-tech educator, she’s trained thousands of lawyers across Europe and North America on practical, safe, everyday AI use.  She’s also recognized as a LinkedIn Top Voice, keynote speaker, and thought leader on legal tech and GenAI.   Laura focuses on bridging the gap between legal expertise and emerging technology, helping legal teams rethink workflows, develop AI literacy, and work with AI as a true colleague.

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• Episode #78 | Sune Selsbæk-Reitz | On sources of truth, and the amplification of good and bad with AI

  In this episode, Lasse Rindom speaks with Sune Selsbæk-Reitz, Data and AI Strategist at Demant. Sune has emerged as one of Denmark’s clearest and most skeptical voices in the AI field - not in opposition to generative AI, but in opposition to how uncritically it’s often applied.  The conversation covers a wide arc, but always circles back to human agency, historical perspective, and the need to reinstate critical thinking in digital transformation. Topics include: The fluency trap: why we mistake well-written answers for truth How LLMs amplify what we bring to them - curiosity, clarity, or laziness The forgotten value of source criticism and scientific theory in AI deployments Data strategy, governance, and what Sune calls “forever beta” De-ontological design and building systems that know what they should never do An episode for anyone who wants to understand not just what AI does, but what it does to us.   Do you want to know more about Sune Selsbæk-Reitz? Sune Selsbæk-Reitz is a Danish tech philosopher and Data & AI Strategist at Demant, a global hearing healthcare company. His work focuses on bridging data strategy, artificial intelligence, and ethics, ensuring that technology serves human dignity rather than efficiency alone. He is the creator of the Deontological Design framework, which applies Kantian moral philosophy to AI ethics, and the author of the forthcoming book "Promptism: Fluent Machines, Forgotten Questions, and the Fight for Meaning in the Age of AI." Through his writing, public speaking, and research, he explores how fluency, automation, and convenience shape human thinking and moral responsibility in the age of intelligent systems. Before joining Demant, Sune worked in the financial sector, leading strategic data initiatives and business transformation projects. He holds a master’s degree in philosophy and history, has written extensively on AI ethics and critical thinking, and is a regular speaker at conferences on responsible AI and the future of human-machine interaction.  

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• Episode #77 | Emilie Lundblad | On AI and digital maturity, and the scaffolding of the mind

  In this episode of The Only Constant, Lasse Rindom speaks with Emilie Lundblad - triple Microsoft MVP in AI, Head of AI Center of Excellence at Ambu, and a true specialist with deep roots in econometrics, architecture, and data governance. Together, they explore what it actually takes to work meaningfully with AI in enterprise today. Key themes from the conversation: Why critical thinking and clarity of purpose is absolutely essential in AI today How misalignment in organizations is amplified - not solved - by faster AI tooling The disappearing middle: Why juniors risk being left behind, and how to accelerate their journey to seniority Why AI doesn’t reduce complexity - it accelerates it, and what that means for governance and strategy Why your lack of investment in digital maturity might just come back to haunt you in an AI transformation Do you want to know more about Emilie Lundblad? Emilie Lundblad is a three-time Microsoft MVP in AI, a two-time Microsoft Regional Director, and the head of the AI Center of Excellence at AMBU.  With over 15 years of experience in data and artificial intelligence, she helps organizations implement AI safely and responsibly in production.  Emilie is the vice-chair of the Danish Data Science Community, a national board member of the Pioneer Centre for AI, and a board member of Blue Logistics Group.

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• Episode #76 | Nandan Mullakara | On the deception of clarity, and the challenge of scaling control

  In this episode, Lasse Rindom speaks with Nandan Mullakara, automation strategist and author, about the future of automation and how AI, RPA, and APIs are evolving - not competing. Their conversation moves from the practical to the philosophical, exploring what happens when orchestration itself becomes intelligent: Why it’s not AI or RPA, but AI and RPA - and how the “AND operator” mindset might be the real key to modern automation and IT The difference between legibility and illegibility in business systems, and how AI challenges our instinct to make everything orderly Why AI doesn’t eliminate work but actually creates more of it - and what that means for digital maturity The coming tension between control and trust as organizations hand over decisions to machine intelligence How agentic automation could dissolve the boundaries between processes, people, and systems It’s a conversation about cycles, complexity, and coexistence - and why, in Nandan’s words, RPA was never born and will never die.   Do you want to know more about Nandan Mullakare? Nandan Mullakara is a globally recognized leader in AI‑led automation and Agentic AI, ranked among the Top 200 World’s Most Influential Voices in AI by Favikon. He is co‑author of best‑selling books Agentic Artificial Intelligence and Robotic Process Automation Projects, cited widely across academia and industry (Google Scholar). He is featured in Onalytica’s Who’s Who in Automation. As the founder of Bot Nirvana, Nandan advises enterprises on Agentic AI and Intelligent Automation—from strategy and operating models to measurable outcomes. He also hosts the Bot Nirvana AI & Automation Podcast, ranked among the top shows in its category for pragmatic, practitioner‑first conversations. Previously, Nandan led Robotic Process Automation (RPA) practice and Application Managed Services (AMS) projects at Fujitsu Americas. He has driven initiatives for global companies such as Honeywell, BCBS, Canon, and Embraer. His insights and articles have been featured by esteemed outlets including Forbes, Solutions Review, Tech Report, and Packt. Explore interviews on Onalytica, Engatica, Excelcult, Coding over Cocktails, and Kieran Gilmurray.

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• Episode #75 | Serge Belongie | On AI as ordinary technology, and the bias of anthropomorphisms

  In this episode of The Only Constant, Lasse Rindom sits down with Serge Belongie, Director of the Pioneer Centre for AI and one of Europe’s leading AI thinkers, for a conversation that cuts through the noise of hype and panic to reach something far more enduring. Together, they explore: Why AI isn’t a revolution but a continuation of the march of automation How the “idiot wind” of hype always blows through history and major technological changes Why spreadsheets once terrified CEOs the same way large language models now do The problem of “data washing” and how a biased baby monitor reveals the limits of clean datasets Why AI should be treated as statistics and software - ordinary technology - until proven otherwise The dangers of anthropomorphizing chatbots and why friction can be a democratic safeguard Belongie’s blend of historical analogy, dry humor, and academic precision makes this conversation one of the most illuminating yet and a standout episode of The Only Constant.     About Serge Belongie: Serge Belongie is a professor of Computer Science at the University of Copenhagen, where he also serves as the head of the Pioneer Centre for Artificial Intelligence (P1). Previously, he was a professor of Computer Science at Cornell University, an Associate Dean at Cornell Tech, a member of the Visiting Faculty program at Google, and a professor of Computer Science & Engineering at UC San Diego. His research interests include Computer Vision, Machine Learning, Augmented Reality, and Human-in-the-Loop Computing. He is also a co-founder of several companies including Digital Persona and Anchovi Labs.  He is a recipient of the NSF CAREER Award, the Alfred P. Sloan Research Fellowship, the MIT Technology Review “Innovators Under 35” Award, the Stibitz-Wilson Award, the Helmholtz Prize, the Everingham Prize, and the Koenderink Prize for fundamental contributions to the Computer Vision community.  He is a member of the Royal Danish Academy of Sciences and Letters and serves on the board of the European Laboratory for Learning and Intelligent Systems (ELLIS).

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