AI is no longer just a background tool. It’s drafting contracts, reviewing discovery, sending emails, negotiating deals, and triggering real-world consequences. In this episode of That Tech Pod, Laura and Kevin unpack what happens when AI starts behaving less like software and more like an employee. If an AI clause costs a company millions, misses privileged evidence, or sends sensitive information to the wrong place, who’s actually on the hook?

The conversation moves from AI as a de facto junior associate to the harder questions around liability, governance, and oversight. They explore why AI can have autonomy but no accountability, how risk gets assigned when things go wrong, and why companies are almost always left holding the bag. Then the discussion takes a turn: what happens when AI isn’t just assisting humans, but coordinating them, managing tasks, and using people as a quality-control layer?

The episode closes with a bigger debate about power, psychology, and work itself. If software is now supervising humans, assigning tasks, and shaping outcomes, are organizations ready for that shift? And if AI is doing the work while humans carry the legal risk, is that imbalance sustainable? The most dangerous AI may not be the one that replaces people, but the one that quietly manages them.

In this Valentine’s Day episode of That Tech Pod, Kevin and Laura talk with fertility specialist Gabriela Rosa about how having a baby has quietly become a technology story. From IVF and genetic testing to telehealth and wearable data, modern fertility is increasingly shaped by algorithms, platforms, and private equity–backed clinics. What most people picture as love and biology is now deeply intertwined with data and systems most patients barely see.

The conversation starts with privacy and data ownership. Fertility and genetic data may be some of the most sensitive information a person can share, and once it’s collected, it often lives on indefinitely. We debate insurance risks, data monetization, and whether patients truly understand what they’re consenting to when they download an app or join a study. Gabriela explains that while ethical safeguards exist, there are no absolute guarantees in a world where data itself is an asset. Perhaps the biggest mic drop moment: IVF, widely seen as the gold standard, has a failure rate north of 90% per cycle started. Gabriela argues that technology should support the body, not bypass it, and that root causes like infections, lifestyle factors, and overlooked health issues are often ignored before patients are fast-tracked into expensive treatments. Her book, Fertility Breakthrough, expands on this approach and is available here: https://www.fertilitybreakthrough.com/

Gabriela Rosa is a Harvard-trained and awarded fertility specialist, founder and CEO of The Rosa Institute, and a global leader in integrative fertility care. For more than 20 years, she has helped individuals and couples around the world overcome infertility, miscarriage, and failed treatments by combining rigorous clinical research with personalized, root-cause medicine. Her work has been studied at Harvard and published in scientific forums, with research showing a 78.8% live birth rate among patients in her signature program. Gabriela holds graduate degrees in reproductive medicine, human genetics, and public health, is currently completing her Doctor of Public Health at Harvard, and leads one of the world’s first telehealth-based fertility clinics, serving patients across more than 100 countries.

On his episode of That Tech Pod, Kevin and Laura sit down with Ray Biederman, CEO and Co-Founder of Proteus Discovery Group, to talk about what actually happens when legal theory, technology, and human behavior collide. Ray walks through his unusual path from music education to law to legal tech, and how that background shaped the way he thinks about systems, judgment, and risk. Rather than chasing hype, he explains why Proteus focuses on defensible outcomes and practical decision-making in a crowded eDiscovery market.

The conversation gets into lessons Ray has learned by wearing every hat, product builder, services leader, and still-practicing attorney. He shares what courtroom experience teaches that product teams often miss until something breaks, especially around context, intent, and how small mistakes compound once data starts moving. Ray also offers a measured take on AI-driven review, warning against the industry’s tendency to overcorrect by trying to remove human judgment entirely, and highlights the ethical tensions that surface when AI reveals patterns no one anticipated. The episode closes with a forward-looking discussion on deepfake evidence, verification challenges, and the growing risk posed by data traveling across too many systems without enough accountability.

Ray Biederman, Chief Executive Officer and Co-Founder of Proteus Discovery Group, LLC, has worked in every phase of electronic discovery for more than two decades. He is a Super Lawyer in the area of eDiscovery, has been cited in multiple court opinions as an expert witness, and is adjunct faculty for eDiscovery at the IUPUI School of Informatics and Computing. He consults on Information Governance policies and procedures related to cybersecurity and its intersection with government regulation and industry-specific best practices. Outside of his eDiscovery experience, Ray is an active litigator representing clients in product liability work, business valuation disputes, and contract disputes. He is also a founding partner in Mattingly Burke Cohen & Biederman. He was previously an associate at Barnes & Thornburg, LLP. He holds a B.M. in Music Education from Butler University and a J.D from Indiana University, the Robert H. McKinney School of Law.