What Is AI, Anyway? A Primer for Lawyers, ft. 2nd Chair Co-Founder Austin Brittenham | The Future of Law Is Today, Ep. 15

The Legal OS and Reshaping the Practice of Law, ft. 9to5 Founder Marla Calvert Miller and Legal Futurist Anastasia Boyko | The Future of Law Is Today, Ep. 17

Summary This episode explores an emerging concept in legal tech and AI: the legal operating system. 9to5 Legal Docs founder Marla Calvert Miller and legal futurist Anastasia Boyko share insights earned over a varied pair of careers in legal practice, legal tech, and legal education and training. They join Ceschino to discuss how AI and the concept of the legal OS are giving lawyers a chance to reshape legal services and rethink what they want their careers as lawyers to be. The discussion also addresses the importance of a systems-based approach to tech and legal operations, and strategies for managing change in legal practices. The Future of Law Is Today is the official podcast of The Legal Tech Guide (thelegaltechguide.com [http://thelegaltechguide.com]). Takeaways * AI gives us a chance to rethink legal service delivery as a profession * 9to5 is building a legal operating system for transactional law * The legal OS needs to do more than just handle documents, matters, and intake * Different types of practice need their own tailored operating systems * Empathy and human connection are core competencies in legal tech and legal practice, now more than ever * Lawyers should reflect on their career goals and personal values when making decisions, from adopting new tech to choosing career paths * Lawyers must prioritize security and privacy in legal AI implementations * Practice managers need to engage with clients to understand their needs and preferences * Leaders should develop a North Star to guide change management in legal practices Chapters 00:00 Introduction to Marla’s and Anastasia’s Legal Journeys 04:10 Shaping Legal Careers 09:00 Reimagining Legal Services With AI 14:20 The Legal Operating System Concept 17:10 Putting Lawyers’ Clients Front and Center in Legal Tech 20:11 Reacting to Claude for Legal 24:38 Substance in Legal AI Marketing: What Do The Tools Really Do? 27:19 Navigating Security When Trying Legal AI 30:12 Business of Law: Shifting to Alternative Billing Arrangements 35:23 Nobody Wants to Talk to Your AI Bot 37:44 Fixing the Empathy Blind Spot in Legal Services 39:57 Defining Your Team's North Star to Guide Tech Adoption 42:59 Keeping It Human: Keep It Weird Keywords Legal Tech, AI, Legal Innovation, Legal Practice, Legal Operating System, Legal Careers, Legal Tech Adoption, Legal AI Tools

Staying Composed Even With Ambitious Goals, ft. Paragon Tech Founder Jay McAllister | The Future of Law Is Today, Ep. 16

Summary Jay McAllister joins Ceschino to share his experience working in high-pressure environments of his own creation, and how he maintains focus and composure while targeting ambitious goals. Jay discusses the inspiration behind and results of his 100x social experiment. The conversation also explores the psychology of personal motivation, pressure, and the desire for achievement, and how to balance goal-oriented ambition with a productive level of appreciation for the progress that’s already been made. The Future of Law Is Today is the official podcast of The Legal Tech Guide (thelegaltechguide.com [http://thelegaltechguide.com]). Takeaways * Before starting a new business initiative, it’s crucial to define parameters for success * Business initiatives should focus on eliminating the largest constraints, not pet projects * The best way to elevate performance is with consistent processes and systems * Jay challenged himself to 100x his output on social media to source new clients * He established accountability and set up systems and support to make scaling possible * Self-assessment is often overly negative — it’s important to acknowledge the gains made as well as remaining goals * Mindset matters: believing you can do something new is a prerequisite to doing it * Taking on greater responsibility can force people to become more productive in general Chapters 00:00 Jay’s Focus as an Entrepreneur and Advisor to Attorneys 05:45 Defining Success in Business Initiatives 10:56 Elevating Performance With Consistent Processes and Systems 11:54 The 100x Social Experiment: Inspiration 16:02 Purpose and Structure of the 100x Experiment 19:42 The Gap Versus the Gain: Learning to Reframe Self-Assessment 24:40 Desire as a Personal Contract to Be Unhappy 26:33 Never Say “Can’t” 29:43 Setting Up the 100x Experiment 35:16 Productivity Hack: Take on More Work 38:07 Results of the 100x Experiment 43:06 Keeping It Human: Fun Economics and Science Facts Keywords Law, legal tech, AI, productivity, motivation, inspiration, scaling, discipline, business operations, legal operations, systems thinking, process improvement

What Is AI, Anyway? A Primer for Lawyers, ft. 2nd Chair Co-Founder Austin Brittenham | The Future of Law Is Today, Ep. 15

Summary Austin Brittenham, a lawyer and legal tech founder who started his legal AI company while still in law school, provides a thorough overview of AI – what it is, how the tech has evolved, and where it’s going. He dives into the implications of AI for lawyers and the practice of law, from everyday document automation to fabricated images presented as evidence in court. Ceschino and Austin also examine what people building AI for lawyers need to keep in mind, whether as tech vendors or in-house within legal practices. The conversation concludes with a reflection on how reinforcing critical thought can help future generations maintain their mental acuity in the age of AI. Takeaways * The arc of AI has progressed from if-then logic to machine learning to generative AI * AI has recently evolved from small language models developed by machine learning startups to large language models powering generative AI applications * Large language models may be plateauing in terms of the information that can be gained from web scraping, but alternative teaching methods such as reinforcement learning may lead to future advancements * Legal tech may be moving toward broad platforms that host specialized add-on solutions, or toward a future where legal practices bring in engineering talent to build bespoke solutions * AI and vibe coding raise the risk of people reinventing the wheel with custom apps * Whether building legal AI as a tech vendor or in-house, you need to stay plugged in with the people who will use it every day Chapters 00:00 Introduction to Austin and His Legal AI Journey 03:35 Navigating Legal AI as an Entrepreneur 06:55 The Types of AI Lawyers Should Know About 13:09 Practical Applications of Generative AI 22:10 The Platformization of Legal Tech 23:46 Alternative Future: Building In-House Tech Capabilities 28:07 Reinventing the Wheel With AI and Vibe Coding 32:28 The Importance of Legal Expertise When Building Legal Tech 38:05 The Need to Stay Plugged In With End Users When Building Tech 42:51 What’s Next, Beyond LLMs and Gen AI? 48:38 Keeping It Human: Developing Critical Thought Through Debate Keywords Generative AI, large language models, machine learning, small language models, legal tech, law, litigation, tech procurement, cybersecurity, ethics, compliance, vibe coding, critical thinking

Automation vs. AI for Lawyers, ft. Director of Automation Elisa Silverglade | The Future of Law Is Today, Ep. 14

Summary Elisa Silverglade discusses her journey in legal automation, emphasizing the importance for lawyers of client relationships over simply getting paperwork done. She distinguishes between AI and automation, explaining how automation can enhance efficiency in law firms. The discussion also covers the significance of change management in implementing automation, the deterministic nature of robotic process automation as opposed to the probabilistic nature of generative AI, and the evolving roles of employees in the legal field. The conversation concludes with a focus on the human element in automation and the potential for technology to create more fulfilling work environments. Takeaways * Automation can significantly reduce repetitive tasks in law firms. * The core value in law is the client relationship, not just paperwork. * AI mimics human thought, while automation replicates human behavior. * Deterministic applications ensure consistent execution and accuracy. * Change management is crucial for successful automation implementation. * Automation can enhance job satisfaction by reducing grunt work. * Younger employees will need to adapt to new roles as automation increases. * The legal profession must focus on client relationships to provide value. * Technology should augment human work, not replace it. Chapters 00:00 Introduction to Legal Automation and AI 04:58 The Difference Between Automation and AI 07:00 The Role of Automation in Legal Processes 16:29 Deterministic Vs. Probabilistic Applications 22:03 The Impact of AI on Work Quality and Customer Experience 27:10 Automation: Enhancing Work, Not Replacing It 34:34 Transforming Junior Roles in the Workforce 40:11 Keeping It Human: The Most Statistically Complex Game in History Keywords legal automation, AI, robotic process automation, law firms, change management, deterministic applications, client relationships, technology in law, future of work, human element

How Does Legal AI Really “Think?” ft. Opine Law Co-Founders Grant Taylor and Scott Tandoi | The Future of Law Is Today, Ep. 13

Summary Grant Taylor and Scott Tandoi discuss their journey into legal tech, focusing on the integration of large language models in law. They explore the limitations of LLMs, the importance of context engineering, and how AI can augment human expertise rather than replace it. The discussion also touches on the future of AI in legal work, and personal insights into parenthood and including your children in what you do. Takeaways * Large language models can process legal language but can’t analyze it. * Context engineering is crucial for effective AI use in law. * AI should augment human expertise, not replace it. * The role of AI in legal work is to assist, not to take over. * Prompt engineering is different from context engineering. * AI can help with mundane tasks, freeing up human time. * The future of AI in law involves more workflow automation. * Understanding the limitations of LLMs is essential for legal professionals. * Personal interests and experiences shape professional journeys. Chapters 00:00 The Genesis of Legal Tech Collaboration at Opine 03:42 Parsing the First Legal Case With AI: Hanson Brothers 05:11 Understanding LLMs: Parsing New Information vs. Built-In “Knowledge” 08:18 The Reliability of LLMs in Legal Contexts 10:13 Probabilistic vs. Deterministic Applications 12:50 Context Engineering: Enhancing AI Accuracy 17:03 The Importance of Backend Prompt Structure in AI Applications 20:30 Legal-Specific AI vs. General Purpose AI 22:43 Shepardization and Its Role in Legal AI 27:10 Finding the Balance: AI and Human Collaboration 39:46 The Shift to AI in Workflows 44:56 Keeping It Human: Sharing Sports, Work, and Interests With Kids Keywords legal tech, large language models, AI in law, context engineering, prompt engineering, legal work, AI limitations, generative AI, augmented intelligence