Law Punx

• Law Punx - Tara Waters - 'Why Isn't Legal AI Like the Space Race?'

  Law Punx - Tara Waters - 'Why Isn't Legal AI Like the Space Race?'In this Law Punx blast, Tara Waters discusses the adoption of legal AI compared to the rapid advancements seen during the space race, especially its high points such as the Moon landings in the 1960s, to the development of the space shuttle, and now with the new space race. She emphasizes the need for strong leadership, clear vision, and accountability in the legal industry to drive transformation and embrace technology. The discussion highlights the importance of setting concrete goals and investing in the right resources to achieve meaningful change.TakeawaysThe legal industry has been slow to adopt technology compared to other sectors.Leadership is crucial for driving transformation in law firms.Excuses for not adopting technology often stem from structural issues.A clear vision and mission are essential for progress.Investment in technology and people is necessary for change.Law firms often set vague and soft goals regarding technology.There is a need for accountability in achieving set goals.Transformation is possible with the right leadership and focus.The lack of clarity in goals contributes to stagnation.Consultants can help law firms define their strategies better.

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• Law Punx: 'AI Model Fine-Tuning Is Overrated' - Scott Stevenson - Spellbook

  Law Punx: 'AI Model Fine-Tuning Is Overrated' - Scott Stevenson - SpellbookIn this Law Punx blast, Scott Stevenson of Spellbook, discusses the limitations of fine-tuning legal AI models, arguing that it has become an overrated technique. He emphasizes the importance of using large language models as layers of human reasoning rather than relying on their long-term memory. The discussion also covers the advantages of real-time information retrieval over fine-tuning and the significance of preference learning in legal AI applications.TakeawaysFine-tuning legal AI models is often ineffective.Large language models should be viewed as layers of reasoning.Real-time information retrieval is superior to fine-tuning.Models can hallucinate when relying on long-term memory.Preference learning is crucial for improving AI accuracy.The acceptance rate of AI suggestions is a key metric.RAG (retrieval-augmented generation) is a promising approach.Legal tech tools should focus on application layers.Training models for everyone limits their effectiveness.AI models should fetch information rather than memorize it.

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• Law Punx - AI and the Automation of Legal Tasks

  Richard Mabey, CEO of Juro, discusses the radical idea that by 2027, 80% of legal tasks could in theory be executed without lawyers. He explores the implications of AI in automating legal tasks, the evolving role of lawyers, and the accuracy of AI-generated legal solutions. Mabey argues that as AI technology advances, the need for human oversight in many legal tasks will diminish, leading to a significant shift in the legal landscape. (Note: of course, will that happen....? Even if possible, will the market move in that way? Many would argue against this outlook....but Law Punx welcomes all views that are wel thought out. If you'd like to disagree, please get in touch.) - By 2027, 80% of legal tasks will be automated.- AI is enabling non-lawyers to perform legal tasks.- The majority of tasks done by lawyers are not legal in nature.- AI can handle increasingly complex legal work.- Legal teams are deploying AI agents for document review.- Consumers are beginning to self-serve legal needs.- The universe of legal tasks requiring human judgment is shrinking.- Regulatory frameworks may need to adapt to AI advancements.- Accuracy in AI legal solutions is crucial for trust.- Lawyers will still be needed but for fewer tasks.Chapters00:00 The Future of Legal Work Without Lawyers01:10 The Role of AI in Legal Automation05:40 Consumer Law and Self-Service Legal Solutions06:53 Regulatory Challenges in Legal Automation08:40 Accuracy and Trust in AI Legal Solutions

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• Law Punx - Do You Know Why You're Using Legal AI?

  Richard Tromans and Horace Wu of Syntheia discuss the financial implications of AI investments by law firms, particularly focusing on the concept of ROI. Horace argues that many firms are miscalculating their returns and emphasizes the importance of training internal staff to leverage AI effectively. The discussion also touches on the balance between convenience and the actual value provided by legal technology platforms.Law firms are wasting a huge amount of money on GEN.AI.ROI should be mapped against actual financial metrics, not just efficiencies.Investing in training staff is crucial for maximizing AI benefits.Convenience does not equate to quality in legal services.Many firms are driven by fear of missing out (FOMO) in their tech investments.The accuracy of AI outputs does not guarantee usefulness.Investing in platforms may not provide a competitive edge.Understanding how to prompt AI is key to getting valuable results.Firms should evaluate if their spending aligns with their strategic goals.Convenience can be a valid reason for adopting technology, but it shouldn't be the only factor.Chapters00:00 - The Cost of AI in Law Firms06:19 - Convenience vs. Value in Legal Technology

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• Law Punx - Decoding Agentic AI: What It Really Means

  In this conversation, Richard Tromans and Jake Jones of Flank discuss the concept of agentic AI, emphasizing its ability to autonomously make decisions and take actions in the real world. They explore the misconceptions surrounding agentic AI, particularly in the legal field, where many tools are misclassified as agentic despite lacking true autonomous decision-making capabilities. The discussion also touches on the importance of human oversight and the need for a new paradigm in legal technology that leverages both legal expertise and innovative approaches.Takeaways- Most people do not understand what an agent is.- Agentic AI can autonomously make decisions and take actions.- Many tools are misclassified as agentic AI.- True agentic AI can understand user intent and adjust plans accordingly.- Linear orchestrations do not involve autonomous decision-making.- (Some) human oversight is still necessary in agentic AI systems.- Deep domain awareness in legal tech is invaluable.- Building a new paradigm requires both insiders and outsiders.- AI tools should interface directly with non-experts.- The future of legal tech lies in fully autonomous systemsChapters00:00 Understanding Agentic AI05:53 The Role of Human Experts in AI07:06 Shifting Paradigms in Legal Tech

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