AI

Subscribe to AI via RSS

This week, we sit down with Sam Flynn, COO and co-founder of Josef, to separate substance from hype in the rapidly evolving world of legal tech. Sam shares his passionate stance that “RAG is not dead,” defending Retrieval-Augmented Generation (RAG) as a foundational and still deeply relevant method for deploying AI in the legal industry—despite the flashy allure of agentic AI. His nuanced take reminds listeners that success in this space depends not only on the sophistication of the technology, but on doing the “boring” foundational work: ensuring data integrity, context-aware chunking, and responsible workflows.

Throughout the discussion, Sam champions the idea that great legal technology should not just enhance expert workflows but make legal information accessible to non-experts. With examples from Josef’s clients like L’Oréal, Bumble, and Bupa, Sam illustrates how Josef’s tools allow legal departments to offload routine work through reliable self-service systems—freeing up time for more strategic thinking while improving speed, compliance, and consistency across organizations. He makes the case that empowering end users with trustworthy tools isn’t just good tech—it’s a new model for scaling legal and compliance services.

A key highlight is Josef’s Roxanne project, developed in collaboration with Housing Court Answers and NYU. Roxanne is an AI-powered tool designed to help tenants in New York navigate the complexities of housing law. Sam outlines the safeguards that ensure Roxanne’s answers are accurate and compliant, such as closed-domain data sources, human-in-the-loop validation, and smart escalation workflows. The conversation touches on the broader access to justice (A2J) implications of this technology—arguing that when designed carefully, AI can amplify the reach and impact of legal aid organizations by orders of magnitude.

The episode doesn’t shy away from the tensions legal professionals feel when automation enters their domain. Sam offers a powerful reframing: instead of seeing these tools as a threat, lawyers should view them as opportunities to offload low-value tasks and expand their influence. The goal, he says, is not to cut jobs—but to redefine the kind of work legal professionals do, making space for more proactive, strategic, and meaningful engagements within organizations and communities.

As the conversation wraps, Sam shares his optimism about the future—tempered by a clear-eyed understanding of the human factors that will determine success. While the technology is ready, the question is whether legal professionals will step up and take the lead. His call to action is clear: focus less on the hype, and more on the systems, safety, and trust that make tech transformative. Whether you’re a legal technologist, innovator, or cautious observer, this episode offers a grounded and inspiring look at what it takes to build legal tech that actually works.

Listen on mobile platforms:  ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Apple Podcasts⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ |  ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Spotify⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ | ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠YouTube⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠

[Special Thanks to ⁠Legal Technology Hub⁠ for their sponsoring this episode.]

\

Blue Sky: ⁠⁠@geeklawblog.com⁠⁠ ⁠⁠@marlgeb⁠⁠
⁠⁠⁠⁠⁠Email: geekinreviewpodcast@gmail.com
Music: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Jerry David DeCicca⁠⁠⁠⁠⁠⁠⁠⁠⁠

Transcript

Continue Reading RAG is Not Dead: Josef’s Sam Flynn on Legal Tech That Works

This week we sit down with Sean West—co-founder of Hence Technologies and author of Unruly: Fighting Back When Politics and Law Upend the Rules of Business. Together, they explore the shifting fault lines where law, technology, and geopolitics collide. From the growing reliance on generative AI in legal work to the erosion of rule of law and the emerging threats (and opportunities) facing knowledge workers, Sean offers a strikingly global—and at times unsettling—view of the legal profession’s next frontier.

The conversation kicks off with a discussion on the Law360 survey showing that 62% of lawyers are using ChatGPT in some aspect of their work. Sean explains the popularity of general-purpose AI tools over legal-specific ones as a matter of price, accessibility, and perceived innovation. While lawyers trust themselves to edit AI outputs, Sean warns that this passive use of AI could slowly and invisibly displace traditional legal roles, without firms consciously realizing what’s been lost.

The discussion deepens as Sean introduces the idea of passive job displacement—where tasks once assigned to junior lawyers, interns, or external vendors are quietly absorbed by AI tools. He likens it to carrying “a quarter of a human brain in your pocket” for $20 a month. What starts as convenience becomes infrastructure, and over time, demand for human input declines. He also questions the long-term viability of legal tech products that can’t clearly outperform generalist AIs like ChatGPT or Claude.

Sean then draws on his geopolitical expertise to underscore the urgent need for situational awareness in law firms and businesses alike. He explains how political volatility—from China and Taiwan to Europe’s regulatory tactics—can suddenly reshape the legal landscape. Rather than relying on traditional prediction models or complex advisory plans that get shelved, Sean emphasizes proactive legal scenario planning. His new product, Hence Global, offers a “geo-legal” lens on global news, customized for specific legal practice areas to help firms act instead of react.

We push further into the implications of “front-stabbing” politics, where once-hidden power plays are now openly transactional. Sean describes a world where AI-driven lobbying, mass arbitration spam, and “robot lawyers” can reshape public policy or flood companies with legal claims at scale. He argues that when the rules are ambiguous, large players will push boundaries—and smaller players may get squeezed out. In a world without a clear referee, the game favors those who can afford better tools and faster moves.

Finally, Sean challenges legal and corporate leaders to stop avoiding the hard conversations. Whether embracing AI to boost productivity or choosing to protect jobs, organizations must be transparent. “Let’s front-stab about it,” he says. Make your commitments public—whether you’re retraining your workforce or doubling down on AI-driven efficiency. Because in a world where legal, political, and technological lines blur, silence isn’t just unhelpful—it’s a risk.

Links and Mentions:

Listen on mobile platforms:  ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Apple Podcasts⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ |  ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Spotify⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ | ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠YouTube⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠

Blue Sky: ⁠⁠@geeklawblog.com⁠⁠ ⁠⁠@marlgeb⁠⁠
⁠⁠⁠⁠⁠Email: geekinreviewpodcast@gmail.com
Music: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Jerry David DeCicca⁠⁠⁠⁠⁠⁠⁠⁠⁠

Transcript

Continue Reading Front-Stabbing the Future: AI, Law, and the Global Unraveling of Rules with Sean West

This week we welcome Chan Hee-Koh, CEO and co-founder, and Justin Brownstone, Strategic Partnership Lead at FileRead. As legal professionals and tech enthusiasts gear up for LegalWeek, the conversation starts with some lighthearted banter about the best places to visit in New York—including a passionate endorsement of Angelina in Paris’ hot chocolate. However, the discussion quickly turns toward the evolving role of AI in the legal industry and how FileRead is shaping the future of litigation technology.

Chan shares the deeply personal story that inspired FileRead’s creation: his immigrant family’s experience during the 2008 housing crisis. Seeing how legal services were out of reach for many due to the complexity and cost of litigation, he set out to develop a platform that could make legal discovery and fact-finding more accessible and efficient. FileRead focuses on litigation-specific AI applications, aiming to streamline document review, build stronger factual narratives, and uncover hidden stories within vast amounts of case data. The discussion also touches on the industry’s skepticism toward AI and the need for legal tech companies to build trust and demonstrate real value.

The conversation then turns to FileRead’s recent growth and roadmap for 2025. Having secured a $6 million seed funding round and a strategic partnership with Simplify, the company is expanding its capabilities beyond Relativity to offer a standalone AI-powered litigation analysis platform. Justin highlights how FileRead’s technology goes beyond standard eDiscovery tools by enabling instant document analysis, chronology building, and memo drafting—tasks that traditionally take weeks of manual work. The team is also working on developing litigation workflows that will automate complex fact-checking processes, helping lawyers assess case strengths and identify missing evidence more efficiently.

A key theme of the episode is the legal industry’s slow but inevitable adoption of AI. Chan and Justin discuss how legal workflows are fundamentally different from those in other industries due to the uncertainty and unpredictability of litigation. Unlike transactional law, where contracts and compliance processes are more standardized, litigation involves a constantly shifting landscape where new evidence and legal arguments can completely change the direction of a case. The hosts and guests explore how AI is beginning to bridge the gap between human expertise and technological efficiency, making legal work more strategic and less burdened by repetitive document review.

As the episode wraps up, the hosts reflect on the rapid evolution of legal technology. Greg and Marlene note that while AI has been discussed in legal tech for years, the capabilities of large language models (LLMs) have dramatically accelerated in just the last two years. Chan and Justin acknowledge that staying ahead in this fast-moving space requires constant experimentation and adaptation. However, they emphasize that while technology can enhance legal work, people remain at the center of the industry. AI should be seen as a tool that empowers attorneys rather than replaces them. To learn more about FileRead, visit FileRead.com, or reach out directly to Chan and Justin via email.

Listen on mobile platforms:  ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Apple Podcasts⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ |  ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Spotify⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ | ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠YouTube⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠

Blue Sky: ⁠⁠@geeklawblog.com⁠⁠ ⁠⁠@marlgeb⁠⁠
⁠⁠⁠⁠⁠Email: geekinreviewpodcast@gmail.com
Music: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Jerry David DeCicca⁠⁠⁠⁠⁠⁠⁠⁠⁠

Transcript

Continue Reading Exploring AI-Powered Litigation with FileRead’s Chan Koh and Justin Brownstone

This week, we welcome back Ed Walters, Chief Strategy Officer at vLex, to discuss the latest advancements in legal AI. The conversation covers the evolving role of AI in legal research, the integration of multimodal AI capabilities, and the ethical considerations surrounding the technology. With the rapid pace of innovation in AI-powered tools, Walters provides insights into how vLex is adapting and pushing the boundaries of legal technology. His perspective underscores the importance of structured legal data, security measures, and law firms leveraging their proprietary data for competitive advantage.

One of the key topics discussed is the impact of reasoning models in AI-powered legal research. Walters notes how tools such as OpenAI, Gemini, and Anthropic’s latest models are transforming legal workflows by enabling more sophisticated research capabilities. These tools allow for more human-like interactions with AI, increasing efficiency in knowledge work by reducing non-billable research time. Walters emphasizes that while these advancements are impressive, legal professionals should always verify AI-generated content, ensuring that human judgment remains the final step in legal analysis.

A particularly exciting development discussed in the interview is vLex’s recent integration of multimodal AI capabilities, enabling the analysis of audio and video files. Walters explains how this feature allows lawyers to transcribe and analyze depositions, oral arguments, and client intake interviews securely within Vincent AI’s SOC 2 Type 2 compliant environment. This breakthrough provides legal professionals with enhanced efficiency in document review and litigation preparation, reinforcing vLex’s commitment to transparency and usability. The discussion highlights how these features bridge the gap between traditional and AI-powered legal workflows, streamlining processes while maintaining high-security standards.

The conversation also explores vLex’s integration of docket alarms into litigation workflows, allowing legal professionals to generate comprehensive profiles of opposing counsel and judges. This tool enables lawyers to analyze patterns in case filings, settlement tendencies, and motion success rates. Walters emphasizes that the ability to synthesize vast amounts of structured litigation data provides firms with a strategic advantage. However, he also acknowledges the ethical implications, stressing the need for transparency in AI-generated insights to maintain the integrity of legal practice.

Finally, Walters shares his thoughts on the future of legal AI, predicting a shift toward the integration of law firms’ proprietary data with public datasets. He highlights vLex’s new initiative, Vincent Studio, which allows firms to create bespoke AI-driven workflows tailored to their specific needs. This, he argues, is the next frontier in legal tech, where law firms transition from passive AI adoption to active AI-driven innovation. As the industry continues to evolve, Walters reinforces the idea that while AI enhances legal practice, human expertise and oversight remain irreplaceable. His insights provide a compelling vision of how legal professionals can leverage AI to augment, rather than replace, their legal expertise.

  • Vincent Studio Request: beta@vlex.com

Listen on mobile platforms:  ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Apple Podcasts⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ |  ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Spotify⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ | ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠YouTube⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠

Blue Sky: ⁠⁠@geeklawblog.com⁠⁠ ⁠⁠@marlgeb⁠⁠
⁠⁠⁠⁠⁠Email: geekinreviewpodcast@gmail.com
Music: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Jerry David DeCicca⁠⁠⁠⁠⁠⁠⁠⁠⁠

TranscriptContinue Reading Beyond Legal Research: Ed Walters on vLex’s Next Big Leap in Law

In this episode of The Geek in Review, we welcome back Legal Tech and Security industry experts, Ken Jones and Josh Smith, to discuss the upcoming ILTA Evolve Conference. Reflecting on last year’s focus on AI potential, we discussed how the legal tech landscape is shifting towards practical applications of artificial intelligence and cybersecurity in 2025. Josh and Ken share their insights for legal professionals eager to understand current trends and the real-world impact of emerging technologies.

Evolving Legal Tech Trends: From Theory to Practice

Throughout our discussion, we highlighted the shift from the “what ifs” of AI to tangible, real-world use cases. Josh emphasized that this year, ILTA Evolve is focused on cost-saving AI applications and enhancing productivity, while Ken referenced the Gartner Hype Cycle to illustrate the movement from initial hype to actionable outcomes. The discussion underscores the importance of practical implementation in legal technology for anyone involved in artificial intelligence and cybersecurity.

Collaborative Theme Selection & Diverse Content

We get the behind-the-scenes process of curating ILTA Evolve content, showcasing how volunteer session coordinators and a diverse committee work together. By gathering input from industry experts, soliciting innovative ideas via LinkedIn, and balancing quantitative feedback with qualitative insights, Ken and Josh made sure that the conference features a wide range of topics. This collaborative approach not only enriches the legal tech experience but also makes ILTA Evolve an event where every legal professional can find valuable takeaways.

Highlighting Keynotes and Networking Opportunities

One of the episode’s focal points was Tarah Wheeler’s keynote, “Navigating the Digital Frontier.” Ken and Josh share their excitement about her deep dive into the intersection of AI and cybersecurity—a topic that mirrors our own discussions on legal tech advancements. In addition to high-caliber educational sessions, there is extensive networking opportunities at ILTA Evolve, including interactive workshops, built-in networking breaks, and engaging social events. These elements are critical for fostering professional connections in the legal technology community.

Future Challenges and Opportunities in Legal Tech

As our conversation wrapped up, we looked forward to the future of legal tech and the evolving challenges in data governance, cybersecurity, and regulatory compliance. We shared our thoughts on how rapid technological advancements call for a balance between automation and human expertise. Despite the complexities of emerging legal tech trends, we remain optimistic that ILTA Evolve will continue to educate, connect, and inspire the legal tech community well into the future.

Listen on mobile platforms:  ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Apple Podcasts⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ |  ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Spotify⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ | ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠YouTube⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠

Transcript

Continue Reading Exploring Legal Tech Innovations at ILTA Evolve 2025 with Ken Jones and Josh Smith

This week, we are joined by Atena Reyhani, Chief Product Officer at ContractPodAi, for an engaging discussion on the intersection of AI innovation and the legal industry. Atena brings her deep expertise in AI-driven product development and shares insights into the trends shaping legal technology and how ContractPodAI is at the forefront of this transformation.

The conversation kicks off with a focus on the prevalence of conversational user interfaces (CUIs) in modern legal tech tools. Atena explains that CUIs, inspired by platforms like ChatGPT, are intuitive and reduce the cognitive load for users, making adoption easier. “Conversational user experience is now one of the ways of interacting with super intelligence,” she notes, highlighting how this design helps bridge the gap between human communication and AI capabilities. Atena also predicts a future shift towards deeper human-AI collaboration, moving beyond simple interactions to robust tools that integrate seamlessly with user workflows.

When asked about the challenge of brand differentiation in a landscape where many tools appear similar, Atena emphasizes the importance of moving from basic chatbots to comprehensive, end-to-end solutions. She points to the rise of agentic AI, where multiple AI agents work together to provide dynamic, actionable insights. According to Atena, “AI can now analyze information, outsource tasks, and dynamically engage multiple AI agents to perform end-to-end operations,” paving the way for truly intelligent legal platforms.

Atena delves into how ContractPodAi leverages AI to address real-world challenges in legal operations. With its Lea AI solution, the company has expanded beyond contract lifecycle management (CLM) to broader enterprise applications such as compliance and obligation management. Atena reveals an exciting new initiative, the Lea Marketplace, which she describes as “a one-stop shop for enterprise legal GenAI,” likening it to the Salesforce or Microsoft Marketplace. This platform will enable partners and subject matter experts to accelerate innovation through collaborative, industry-specific solutions.

Reflecting on her career in AI and her recognition as an award-winning innovator, Atena speaks passionately about the tangible impact of AI on businesses and individuals. She also underscores the importance of diversity in technology development, stating, “Women bring a diverse perspective that is crucial for innovation.” Atena encourages more women to step into leadership roles and shape the future of AI and legal tech.

The episode concludes with Atena’s predictions for the legal tech industry. She identifies key challenges, including aligning AI capabilities with organizational needs and ensuring effective user adoption. “It’s one thing to have the technology and another to use it to its full potential,” she observes, stressing the importance of strategic deployment, training, and change management. Atena’s optimistic vision underscores the vast opportunities for AI to revolutionize legal operations.

Listen on mobile platforms:  ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Apple Podcasts⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ |  ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Spotify⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ | ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠YouTube⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠

Blue Sky: ⁠⁠@glambertpod⁠⁠ ⁠⁠@marlgeb⁠⁠
⁠⁠⁠⁠⁠Email: geekinreviewpodcast@gmail.com
Music: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Jerry David DeCicca⁠⁠⁠⁠⁠⁠⁠⁠⁠

TranscriptContinue Reading The Evolution of AI in Legal Tech: A Conversation with ContractPodAi’s Atena Reyhani

This week we welcome Bobby Puglia, Chief Product Officer at Bloomberg Industry Group, to discuss Bloomberg Law’s latest generative AI-powered tools: Bloomberg Law Answers and Bloomberg Law AI Assistant. Bobby provides an insightful look into how these tools are designed to revolutionize legal research by making it faster, more intuitive, and seamlessly integrated into users’ workflows. The conversation begins with a discussion about the challenges of capturing the attention of legal professionals and the strategies that can bridge the gap between innovation and adoption.

Addressing “Tool Fatigue” and Driving Innovation Adoption

Bobby delves into the strategies behind overcoming “tool fatigue,” a common challenge in the legal industry. He highlights the importance of understanding specific user pain points and delivering targeted solutions. Marlene shares how peer advocates within law firms can champion the adoption of new tools, while Greg emphasizes the need for tailoring communication to align with the unique needs of different legal professionals. These insights reveal Bloomberg’s thoughtful approach to encouraging the adoption of its cutting-edge tools.

Inside Bloomberg Law Answers and AI Assistant

Bobby explains how Bloomberg Law Answers uses generative AI to provide concise, transparent answers directly in search results. With citations and detailed attributions, the tool seamlessly integrates into existing workflows. Meanwhile, the AI Assistant offers a groundbreaking way to interact with legal documents—allowing users to summarize, interrogate, and ask specific questions confined to the document’s “four corners.” These tools are designed to save time and enhance productivity for attorneys and legal researchers.

User-Centric Design and Quality Assurance

The discussion highlights Bloomberg’s user-focused development process, including its Innovation Studio, which uses pre-beta testing to refine tools based on user feedback. Bobby outlines how this iterative approach improves content sourcing, interface design, and overall functionality. Robust benchmarking, guardrails, and human-in-the-loop testing ensure that Bloomberg’s AI tools maintain the highest standards of accuracy and reliability.

The Future of AI in Legal Workflows

Looking ahead, Bobby shares his vision for generative AI’s role in reshaping the legal industry. He predicts a future of integrated, customizable workflows that reduce time spent on routine tasks, allowing legal professionals to focus on high-value work. The conversation also explores how Bloomberg plans to expand its AI Assistant to tackle broader research tasks, streamline navigation, and enable seamless integration with platforms like Microsoft.

Listen on mobile platforms:  ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Apple Podcasts⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ |  ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Spotify⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ | ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠YouTube⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠

Blue Sky: ⁠⁠@glambertpod⁠⁠ ⁠⁠@marlgeb⁠⁠
⁠⁠⁠⁠⁠Email: geekinreviewpodcast@gmail.com
Music: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Jerry David DeCicca⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠

TRANSCRIPT

Continue Reading From Workflow to Innovation: Bloomberg Law Answers and AI Assistant with Bobby Puglia

This week, we kick off the new year with ⁠Patrick Ip⁠, co-founder and CEO of ⁠Theo AI⁠. Patrick joins the podcast to discuss his journey from Google to entrepreneurship and how his company is leveraging AI to transform legal workflows. As the legal industry begins to embrace AI, Patrick shares his unique perspective on opportunities, challenges, and the ethical considerations surrounding these groundbreaking technologies.

The conversation begins with a fascinating discussion about a recent pro se lawsuit where AI tools like OpenAI’s GPT-4 and others played a pivotal role in drafting a complex complaint. Patrick and the hosts delve into the implications of this case for legal professionals, highlighting the advancements in AI’s capabilities and the need for caution when non-experts wield these tools. The discussion provides a critical lens on the ethics, risks, and reliability of integrating AI into the legal process.

Patrick shares the inspiring backstory of Theo AI, rooted in his rich professional journey, which spans work at the United Nations, launching startups, and being part of a Nobel Peace Prize-nominated project at Google. At Theo AI, Patrick has combined his entrepreneurial spirit with his legal expertise to develop tools that make legal predictions more accessible and reliable. From managing client expectations to transforming litigation funding, Theo AI’s innovative use of synthetic and firm-level data is driving efficiencies and fostering better decision-making across the legal landscape.

The discussion also ventures into the practical applications of Theo AI, particularly for litigation funders and law firms. Patrick explains how Theo AI compresses case review time from weeks to mere minutes, offering predictive insights that help legal professionals assess case viability, manage risk, and optimize workflows. He emphasizes the role of trust and transparency in AI development, ensuring the technology is both robust and aligned with ethical practices.

As the episode concludes, Patrick reflects on the future of AI in the legal industry, forecasting that the most transformative advancements will seamlessly integrate into existing tools like Microsoft Word and Outlook. He also shares his broader philosophy of balancing work with personal passions, drawing inspiration from his experiences as an entrepreneur, coffee aficionado, and triathlete. This engaging conversation is a must-listen for anyone interested in the evolving role of AI in legal technology and beyond.

Links:

Listen on mobile platforms:  ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Apple Podcasts⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ |  ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Spotify⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ | ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠YouTube⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠

Blue Sky: ⁠⁠@glambertpod⁠⁠ ⁠⁠@marlgeb⁠⁠
⁠⁠⁠⁠⁠Email: geekinreviewpodcast@gmail.com
Music: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Jerry David DeCicca⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠

TRANSCRIPT

Continue Reading Patrick Ip: How Theo AI is Redefining Legal Predictions