How Thomson Reuters Built AI Agents That Think Like Lawyers

Illia Polosukhin, co-author of Attention Is All You Need and co-founder of NEAR Protocol, believes today's centralized AI ecosystem is broken. In this episode, he explains why User-Owned AI is the path forward — making systems private, verifiable, and aligned with users rather than corporations. We explore confidential computing, interoperable AI agents, and what a more sustainable AI future might really look like.Subscribe to The Neuron newsletter: https://www.theneurondaily.com

Thomson Reuters just launched Deep Research—an AI system that doesn't just search legal databases, but plans and strategizes like an experienced attorney. In this episode, we explore how one of the world's largest legal research companies is using AI agents to transform how lawyers work, the challenges of building AI for high-stakes legal decisions, and what this means for the future of knowledge work. CTO Joel Hron shares insights from testing with 1,200+ customers, tackling hallucination risks in legal settings, and building professional-grade AI systems.Resources mentioned: Thomson Reuters Deep Research: https://www.prnewswire.com/news-releases/thomson-reuters-launches-cocounsel-legal-transforming-legal-work-with-agentic-ai-and-deep-research-302521761.html Westlaw & KeyCite: https://legal.thomsonreuters.com/en/products/westlaw/keycite Claude Code for development: https://www.anthropic.com/claude-code LinkedIn: Joel HronThomson Reuters Medium blog: https://medium.com/tr-labs-ml-engineering-blog Subscribe to The Neuron newsletter: https://theneuron.ai

Today we go deeper on Google's AI stack with Logan Kilpatrick: what AI Studio is great at, how it fits with Firebase/Colab/Gemini CLI/Jules, and where "thinking" models make sense. We cover real-world workflows—from game prototyping and screen-share assistance to legal/privacy basics and on-device micro-apps. Logan shares his insights on vibe coding, the future of AI development, and Google's open-source strategy with Gemma models.Resources mentioned:Google AI Studio: https://aistudio.google.com/Gemini CLI: https://github.com/google-gemini/gemini-cliKaggle Game Arena: https://www.kaggle.com/competitionsGoogle Firebase: https://firebase.google.com/Gemma models: https://ai.google.dev/gemmaSubscribe to The Neuron newsletter: https://theneuron.ai

What does it take to steer a 3,500-person company into the age of generative AI? ZoomInfo founder and CEO Henry Schuck joins us to unpack the company's journey from data powerhouse to AI-first GTM platform, the cultural shifts that enabled it, and the hard-won lessons any leader can borrow. We explore how they reduced teams from 26 to 2 people using AI agents, why 2/3 of employees now use AI daily, and the critical role of data infrastructure in AI success.Subscribe to The Neuron newsletter: https://theneuron.aiLearn more about ZoomInfo: https://www.zoominfo.com

What does "AI governance" really entail, and why does it matter right now? Credo AI founder Navrina Singh joins The Neuron to unpack risk buckets, Model Trust Scores, and the regulatory zig-zag between the EU and the U.S.—so you can move fast without crashing the car. We dive into open source safety, agent governance, and test OpenAI's brand new open source model live.Learn more about AI governance: https://credo.ai/resourcesSubscribe to The Neuron newsletter: https://theneuron.ai

A lot of people aren't sure whether they should just chat with an AI model, craft a structured prompt, spin up a project, or unleash a full-blown agent. In this episode, we break down the differences between these approaches and share a practical decision-making framework. We'll show how simple prompts excel for quick, isolated tasks, why structured prompts improve clarity and focus, when a project (workflow) is better for predictable, repeatable processes, and where autonomous agents shine for dynamic, open-ended problems. Along the way we'll demo real examples, share tips for avoiding unnecessary complexity, and help listeners decide which tool fits their use case.Subscribe to The Neuron newsletter: https://theneuron.ai

In this hands-on episode, Corey and Grant attempt to build three different AI apps in one hour using Google AI Studio - with zero coding experience required. They create an Inbox Zero email organizer, a meme generator that roasts their photos, and a spontaneous adventure planner with interactive maps. Watch as they navigate errors, discover workarounds, and prove that anyone can build functional AI apps without being a developer.Subscribe to The Neuron newsletter: https://theneuron.aiOriginal article: https://www.theneuron.ai/newsletter/googles-ai-makes-you-appsRead more: https://www.theneuron.ai/explainer-articles/how-to-build-an-ai-agent-part-one-testing-googles-firebase-studio-ai-agent-builderGoogle AI Studio:⁠ https://aistudio.google.com⁠NoCodeMBA Tutorial: https://youtu.be/ANth52yyr9U?si=L9iT1-eYgB8nOfrgAlternative builders mentioned:- Lovable:⁠ https://lovable.dev⁠- Claude Artifacts:⁠ https://claude.ai⁠- V0 by Vercel:⁠ https://v0.dev⁠- Bolt.new:⁠ https://bolt.new⁠

OpenAI just dropped ChatGPT Agent, and we test it LIVE for the first time. Watch as we put this "true" AI agent through its paces - from finding the perfect Gibson Les Paul to building competitive intelligence reports. We explore what makes this different from Zapier-style automation, demonstrate real-world use cases, and discuss why this might be the beginning of America's first super app. Plus: can it actually convince Corey's wife he needs a new guitar?Subscribe to The Neuron newsletter: https://theneuron.aiOriginal article: https://www.theneuron.ai/newsletter/openais-new-agent-is-hereRead More: https://www.theneuron.ai/explainer-articles/how-to-build-your-own-ai-agent-without-being-a-pro-coderhttps://www.theneuron.ai/newsletter/operator-book-me-some-clientsChatGPT Agent: https://openai.com/index/introducing-chatgpt-agent/ N8N: https://n8n.io/

In Ep 3 we explore DeepSeek's open-source R-series models that claim GPT-4-level performance at a fraction of the cost. We unpack whether you can realistically run DeepSeek on a laptop, where it beats (and lags) OpenAI, and the serious security implications of using Chinese AI services. Listeners will learn the economics, hardware realities, and safe alternatives for using these powerful open-source models.How to pick the best AI for what you actually need: https://www.theneuron.ai/newsletter/how-to-pick-the-best-ai-model-for-what-you-actually-needArtificial Analysis to compare top AI models: https://artificialanalysis.ai/ Previous coverage of DeepSeek: https://www.theneuron.ai/newsletter/deepseek-returns https://www.theneuron.ai/newsletter/10-wild-deepseek-demoshttps://www.theneuron.ai/explainer-articles/deepseek-r2-could-crush-ai-economics-with-97-lower-costs-than-gpt-4 U.S. Military allegations against DeepSeek: https://www.reuters.com/world/china/deepseek-aids-chinas-military-evaded-export-controls-us-official-says-2025-06-23/ ChatGPT data privacy concerns: https://www.theneuron.ai/explainer-articles/your-chatgpt-logs-are-no-longer-private-and-everyones-freaking-out OpenAI’s response to NYT lawsuit demands: https://openai.com/index/response-to-nyt-data-demands/ How to run Open source models: Go to Hugging Face for the models: https://huggingface.co/ Use Ollama or LM Studio (our recommendation) to run the model locally: https://ollama.com/ https://lmstudio.ai/