AI 101 cuts through the noise to focus on what AI actually is, what it isn't, and where it genuinely works inside legal workflows today.

No jargon. No AI theater. No pretending every problem needs a chatbot.

Just a practical foundation designed to help legal professionals understand the technology before being asked to trust it.

Whether you're skeptical, curious, or already experimenting, this session is built to give you the foundation most AI conversations skip.

No panels. No spectators.

CatX combines rapid-fire talks with live discussion so the room can react, challenge ideas, and work through what AI adoption actually looks like inside legal organizations — in real time.

Everyone wants to talk about AI transformation. Very few people talk honestly about what it actually takes to implement it inside a legal department.

In this candid fireside conversation, Pra Chandrasoma shares a practitioner-level perspective on the real decisions legal leaders are navigating as AI moves from experimentation into daily workflows. From vendor evaluation and governance to change management, risk, and attorney oversight, the discussion focuses on what adoption actually looks like inside modern legal organizations.

No hype. No future-state theory. Just a practical conversation about balancing innovation, operational realities, and the responsibilities that come with deploying AI in legal practice.

AI has created an industry full of strong opinions and sweeping assumptions. This session puts them to the test.

Participants are presented with bold statements about AI, legal practice, governance, risk, and the future of the industry — and forced to make an immediate call: true or false.

The real conversation starts after the vote. Through live audience participation and rapid-fire debate, this session pressure-tests assumptions, challenges industry narratives, and reveals where legal professionals really stand on AI — including the knowledge gaps, biases, and assumptions shaping adoption today.

Surgeons don't start with brain surgery. Yet somehow, that's become the expectation for lawyers using AI.

For years, AI adoption in legal has started in the wrong place: complex prompting, detailed review protocols, and technical workflows that assume a level of fluency most professionals were never trained to have. It's backwards — lawyers are not engineers, and they shouldn't need to become one overnight to start using AI effectively.

This session challenges the assumption that AI adoption has to begin with complexity. Instead, we'll explore what it looks like to start where lawyers actually operate: practical workflows, real-world judgment, and approachable entry points that make AI usable instead of intimidating.

This is not a demo. It's a reset — a practical, participatory session designed to rethink where AI work begins and how legal teams can build confidence before jumping into the deep end.

The Masters AI Debate forces opposing sides to defend their position in real time through live rebuttals, audience reaction, and direct moderator pressure-testing.

No scripts. No safe middle ground. Just clarity through conflict.

This CatX goes deeper, featuring sharper, experience-driven stories from legal professionals navigating real deployment, governance, and cultural friction — followed by candid table discussions and readouts that challenge the room to confront harder tradeoffs and next-stage transformation.

What percentage of legal professionals are already using AI at work? How many people trust AI-generated outputs? How prepared are organizations to defend the systems they're deploying?

In this fast-paced, game-show-inspired session, the audience will guess whether real-world AI statistics are higher or lower than expected — revealing just how wide the gap can be between perception and reality.

Using live participation, industry survey data, and rapid-fire discussion, the session challenges assumptions around AI adoption, governance, risk, trust, and workplace transformation. Some answers may surprise you. Some may concern you. All of them will spark conversation.

Attendees remix a legal workflow or output under assigned constraints — such as a specific tone, audience, tool, or formatting rules.

Guided by a leading data scientist and dynamic speaker, this hands-on session teaches practical techniques for rethinking and improving legal work in real time.

Brett Tarr has spent 20 years in corporate legal departments, and now sits at the intersection of legal ops, eDiscovery, privacy, and AI governance at one of the largest financial institutions in the country. That means he isn't theorizing about AI risk. He's living it. Every Tuesday.

In this fireside, Cat Casey pulls back the curtain on what AI governance actually looks like from the inside. Not the policy. Not the framework. The real stuff. Vendors who swap their underlying model mid-contract and tell you "Microsoft tested it, so you're fine." The shadow AI that grows in direct proportion to how hard you try to kill it. The moment sanctioned AI becomes a governance problem nobody fully owns. And the idea that might change how your organization thinks about data forever: data half-life.

This isn't a session about whether your organization should be using AI. It already is. It's about what you do about it before something goes very sideways.

Come with questions. Brett has receipts.