The Reasoning Show

The Reasoning Show AI moves fast. Thinking clearly matters more.

The Reasoning Show cuts through the hype to explore how the smartest people in enterprise AI actually make decisions — the strategy, the tradeoffs, and the hard lessons no press release mentions.

Every week, hosts Aaron Delp and Brian Gracely sit down with the founders building the tools, investors funding the shift, and operators running AI in the real world. Not hype. Not panic. Just clear-headed conversations with people who have to make actual decisions.

Because the AI revolution isn't just happening. It's being reasoned through.

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Topics: Enterprise AI strategy · LLMs in production · AI leadership · Agentic AI · Digital Sovereignty · Machine Learning · AI startups · Cloud Computing

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The Reasoning Show

AI for the Legal industry

September 18, 2024 • Massive Studios

0:00 | 25:19

Jay Madheswaran (Founder & CEO @ Eve) talks about bringing AI to the legal vertical and the intersection of AI/ML of increased efficiency for legal firms.

SHOW: 857

SHOW TRANSCRIPT: The Cloudcast #857 Transcript

SHOW VIDEO: https://youtube.com/@TheCloudcastNET

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SHOW NOTES:

Eve Homepage

Topic 1 - Welcome to the show. Before we jump into the legal industry and AI, let’s talk a little bit about your background. Give everyone a brief introduction.

Topic 2 - What made you focus on the legal industry? When I think of forward leaning industries that quickly adopt new technologies, I don’t think of legal. What are the most common use cases?

Topic 3 - Tell us a little bit about the tech behind the scenes. Do you use foundational models and then fine-tune them? Do you have your own custom models? What are your thoughts on the current state and future of models for specific industries or verticals?

Topic 4 - Legal is a highly regulated space; how do your customers (law firms) think about data security and compliance? Tell everyone a bit about how all of this works.

Topic 5 - Do your clients use RAG for custom information that needs to be brought into the models? How does all of that work for customer data?

Topic 6 - When I think about legal, I think about two big areas. We covered compliance and the financial side of this, but what about the billing and financial side? How is ROI on legal AI calculated? Where and how does a legal AI help? Is this measured in hours saved, which translates into dollars saved?

Topic 7 - Let’s close by discussing the people aspect. We keep hearing AI is going to take everyone’s jobs away. What are your thoughts on how this supplements vs. replace staff?

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