Everything AI & Law

In this episode, Tolulope Awoyomi breaks down the evolution of AI into three waves, Traditional AI, Generative AI, and Agentic AI, and explains what makes AI agents different from simple chatbots.You’ll discover:The 5 key traits of AI agents (context awareness, goal breakdown, execution, memory, adaptability)Why agentic AI is the third wave of AI (focused on action, not just information)A live demo of a travel-planning AI agent🎧 Perfect if you’re curious about AI beyond chatbots or want inspiration to build your own AI-powered agents.👉 If you’d like a tutorial episode on how Tolulope built and configured this AI travel planner (with APIs + automation tools), drop feedback in the Q&A or comments.Chapters00:00 — What are AI Agents?11:11 — Live Travel Agent DemoFollow, share, and rate this show if you enjoy practical, beginner-friendly AI insights.

AI is no longer optional in legal practice. In this video, Tolulope Awoyomi, Lawyer, AI Educator, and Founder of AI & Law Bridge, shares a practical guide for lawyers who want to stay competent, competitive, and compliant in 2025.You will learn:- Core AI terms explained in plain English (LLMs, RAG, embeddings, hallucinations)- ABA Formal Opinion 512 and what it means for your duty of competence- How firms and clients are already expecting AI-driven efficiency- Tools like CoCounsel, Harvey AI, Relativity aiR, Clio Duo, Spellbook, and more- IP and policy updates shaping your practice (USCO, USPTO, EU AI Act)- A practical 30-60-90 day action plan you can take back to your firmThis is a no-hype, practical guide to staying competitive, competent, and compliant as AI reshapes the profession.Presenter:Tolulope AwoyomiLawyer | AI Educator | Founder, AI & Law BridgeConnectLinkedIn: https://www.linkedin.com/in/tolulope-awoyomi/Email: aiandlawbridge@gmail.com

Can artificial intelligence be trusted in life-and-death medical decisions?In this episode, I (Tolulope Awoyomi) sat with Abhinavdutt Singh, an expert at the intersection of AI, compliance, and regulated medical technologies. Abhinavdutt brings deep experience from working with global standards bodies like IEEE, ForHumanity, and OWASP, and advises on AI governance, safety, and regulatory strategy across high-risk domains like healthcare and medical devices.We explored:Whether current regulations like ISO 14971 and IEC 62304 can keep up with evolving AIWhat happens when an AI makes a dangerous medical decision, and who’s responsibleHow AI could help, or harm, efforts to reduce healthcare backlogs like the NHS triage crisisCommon traps medtech startups fall into with AI complianceWhether we need to rethink our entire model of risk, liability, and trust in medicineIf you're building, regulating, or using AI in healthcare, this episode is essential listening.

In just the past six months, AI has collided head-on with U.S. law.From headline-making lawsuits by The New York Times and music labels to major federal and state regulatory moves, the legal system is now shaping how AI is built, deployed, and held accountable.In this video, we break down the biggest legal developments impacting artificial intelligence in the United States, including:✅ Generative AI lawsuits over copyright, music, and visual art✅ FTC enforcement actions on AI fraud and deceptive claims✅ Groundbreaking facial recognition reforms and civil rights cases✅ State laws targeting algorithmic bias and surveillance✅ Ongoing debates in Congress about federal AI oversightThis update is powered by The Everything AI & Law Podcast, your source for smart, human, and grounded analysis at the intersection of tech and the law.🔔 Subscribe for future updates🎧 Follow the podcast wherever you get your audio📩 Download the companion PDF briefing from the link in the description

Welcome to this easy-to-follow breakdown of the Confusion Matrix; no fluff, just clarity. In this video, I (Tolulope Awoyomi) walk you through:- What a Confusion Matrix really is- How to draw and label one from scratch- The meaning of True Positive, True Negative, False Positive, and False Negative- A relatable real-world example: Spam Email Classifier- And how to calculate evaluation metrics: Accuracy, Precision, Recall, and F1 ScorePerhaps you’re preparing for a machine learning interview or just brushing up on model evaluation, this is for you.----------------------Also! I’m thrilled to announce my new book "AI, Machine Learning, Deep Learning: From Novice to Pro" is available for pre-order now. Here is the preorder link - ⁠⁠https://a.co/d/fJX1qUE⁠

What makes up an AI model? It’s simpler than you think. In this video, I break down my secret formula:AI Model = Training Data + Algorithm.You’ll learn:The role of training data and algorithms in building AI The core training dilemma: Optimization vs. GeneralizationCommon errors in model training: Overfitting vs. UnderfittingWhat “High Variance” and “High Bias” actually meanThis is a beginner-friendly explanation that cuts through the jargon and gets straight to the point.----------------------Also! I’m thrilled to announce my new book "AI, Machine Learning, Deep Learning: From Novice to Pro" is available for pre-order now.Here is the preorder link - ⁠https://a.co/d/fJX1qUE⁠

In this powerful episode of the Everything AI and Law podcast, I sit down with Matthew Vaele, a European Patent Attorney with a background in computer science, to explore one of the most thought-provoking questions of our time:Can AI truly invent, or is it simply a prediction engine?Drawing from his deep expertise and his role at Patsnap, a global leader in AI-powered IP and R&D intelligence, Matthew unpacks how artificial intelligence is reshaping intellectual property, patent law, novelty assessments, and the entire innovation landscape.From real-world patent strategy to philosophical debates on inventorship, this conversation is packed with practical insights and bold perspectives. If you care about the future of creativity, technology, law, or innovation, this one’s for you. -------------------------------------Also! I’m thrilled to announce my new book "AI, Machine Learning, Deep Learning: From Novice to Pro" is available for pre-order now and will officially launch on August 9, 2025 (hardcover lovers, mark your calendars too!). Here is the preorder link - https://a.co/d/fJX1qUE

In this video, I showcase two short movies made entirely with AI tools, and then walk you through how I created them step by step.I used ChatGPT for prompt writing, Sora (OpenAI) and Google Veo 3 for video generation, and royalty-free music to bring it all together in post-production.What You’ll See:– Two original AI-generated short movies– My full creation process– Tips for writing effective prompts– The AI tools I used, and how I combined themTools Used:✅ ChatGPT✅ Sora (by OpenAI)✅ Google Veo 3✅ Royalty-Free Music✅ Video Editing SoftwareChapters:0:00 Intro0:45 AI Short Movie #13:17 AI Short Movie #25:32 Behind the Scenes: Full BreakdownIf you're curious to learn more about how AI works?Pre-order my book: "AI, Machine Learning, Deep Learning: From Novice to Pro"👉 https://a.co/d/dmZ7FXJConnect with me:🔗 LinkedIn: linkedin.com/in/tolulope-awoyomi🔗X (Twitter): x.com/TolulopeAwoyomiEmail: everythingaiandlawpodcast@gmail.com

Master the concept of Recurrent Neural Networks (RNNs). In this video, you’ll learn:- What RNNs are and how they workDifferences between RNN, LSTM, and GRUThe underlying concepts behind RNN operationsHow RNNs power applications in NLP, time series prediction, and moreReal-world applications in NLP and time seriesIf you're a beginner or simply looking to enrich your understanding of deep learning theories, this video offers a clear, accessible explanation without any programming. It's perfect for students, educators, and AI enthusiasts!----------------------Also, pre-order my book “AI, Machine Learning, Deep Learning: From Novice to Pro” here - https://a.co/d/c1MQuXj

Deepfakes are an AI technology that makes it look like someone said or did something they never actually said or did. You’ve probably seen a few online. These videos may look real, but they are completely fake. Behind this technology is a powerful deep learning model called a Generative Adversarial Network, or GAN for short.To me, GANs work like a fascinating game, especially the way they’re trained. Come with me, let me explain.A GAN is made up of two networks:𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗼𝗿 creates fake (synthetic) data samples𝗗𝗶𝘀𝗰𝗿𝗶𝗺𝗶𝗻𝗮𝘁𝗼𝗿 tries to figure out if a sample is real or fakeThey act like two players in a cat and mouse game, each one trying to outsmart the other.At first, the Discriminator is trained on real data (the training data). Once it has a good understanding of what real data looks like, the Generator is brought in.Now here’s the fun part. The Generator is not trained with the real data. Instead, it is given some random noise (just numbers) as input. Its challenge is to turn that random noise into something so realistic that it fools the Discriminator into thinking it is real data.𝗦𝗼, 𝗵𝗼𝘄 𝗱𝗼𝗲𝘀 𝘁𝗵𝗲 𝗴𝗲𝗻𝗲𝗿𝗮𝘁𝗼𝗿 𝗲𝘃𝗲𝗻𝘁𝘂𝗮𝗹𝗹𝘆 𝗽𝗿𝗼𝗱𝘂𝗰𝗲 𝗱𝗮𝘁𝗮 𝘁𝗵𝗮𝘁 𝗹𝗼𝗼𝗸𝘀 𝗿𝗲𝗮𝗹 𝗲𝗻𝗼𝘂𝗴𝗵?That’s the beauty of the setup. Every time the Discriminator catches a fake, the Generator learns from that mistake and tries again. The Discriminator gets better at spotting fakes, and the Generator gets better at creating more convincing ones. They both improve by competing with each other.---------------Pre-order my book "AI, Machine Learning, Deep Learning: From Novice to Pro" here: https://a.co/d/4cRP3oM

What happens when artificial intelligence goes head-to-head with real lawyers?In this mind-bending episode, we explore the legal battle of the century: AI vs Human Lawyer. From courtroom showdowns to drafting complex contracts in seconds, we unpack the real potential — and real risks — of AI in the legal world.Some topics we explored are:Whether AI can out-argue a human in courtHow AI is reshaping law firms, legal media, and ethicsWhat legal jobs might disappear (and what new ones will rise)Real-world legal tasks: Should AI or a human do them?If you're a lawyer, law student, tech enthusiast, or just curious about how AI is shaking up one of the oldest professions on earth, this episode is for you.🔔 Follow for bold conversations at the intersection of law, tech, and the future of work.-----------------📖 Pre-order my book "AI, Machine Learning, Deep Learning: From Novice to Pro" here: https://a.co/d/dmZ7FXJ.

In Part I, we explored how a simple neural network could tell a Bulldog from a German Shepherd just by analyzing images.In Part II, we go deeper into the mechanics of deep learning.You'll learn how cost functions, the chain rule, gradient descent, backpropagation, and forward passes help artificial neural networks learn and improve accuracy.We break it down step-by-step with real-world examples, making it simple to understand how machines "think" and "learn" through constant adjustment.Topics in this episode:How neural networks start with random weights and biasesWhat the cost function measuresHow the chain rule helps identify errorsHow gradient descent improves predictionsWhat happens during backpropagation and forward passesPerfect for visual learners and curious minds interested in AI, machine learning, and deep learning.-----------------📖 Pre-order my book "AI, Machine Learning, Deep Learning: From Novice to Pro" here: https://a.co/d/igaehTZ

In this video, I break down how deep learning works in a simple, beginner-friendly way. You’ll learn the basics of neural networks, how they process data through layers, the role of weights, bias, and the popular ReLU activation function.Perfect if you're new to AI, machine learning, or just want a visual, no-fluff explanation of how these systems learn and make decisions.Please follow for more easy-to-digest AI concepts.📱 Connect with me on LinkedIn: https://www.linkedin.com/in/tolulope-awoyomi/ 📱 Follow me on X: https://x.com/TolulopeAwoyomi--------------You can pre-order my book "AI, Machine Learning, Deep learning: From Novice to Pro" here - https://a.co/d/igaehTZ.

In this video, I break down how AI and machine learning actually work — especially in response to a surprising claim I reacted to in a previous video: that AI is a “demon” or “fallen angel.”This is a simplified overview meant to help you understand the real process behind AI — no fear-mongering, no mysticism, just real talk on algorithms, data, and learning systems.If you’ve ever been confused about how AI or machine learning functions, this video is for you.Preorder my new book:"AI, Machine Learning, Deep Learning: From Novice to Pro"Available now on Amazon → https://a.co/d/6vLYEIH

In this episode of Everything AI and Law, Tolulope sits down with Monica D. Higgins to talk about something that's becoming more and more urgent: when AI messes up—who’s to blame?From biased algorithms to deepfakes, from legal personhood to job loss fears—this conversation goes deep. Monica shares honest, practical insights from her work at Future Proof, where she helps companies and individuals make AI useful and actually make sense in the real world. It’s smart, eye-opening, and packed with gems—whether you’re into tech, law, or just trying to figure out where you fit in the AI age.🧭 Timestamps & Topics:00:00 – The biggest ethical blind spot in AI adoption02:00 – OpenAI’s Sora & systemic bias in AI-generated content04:56 – Should AI be granted legal personhood?07:58 – Rights vs. responsibilities: Who is truly accountable?09:09 – Agentic AI: Excitement, fear & future implications10:05 – Upskilling: The antidote to AI-induced job displacement12:30 – How Future Proof designs role-specific AI training14:37 – Deepfakes: Real concerns in a synthetic world17:03 – A universal code of ethics for AI?18:33 – Transparency, bias & the ethics checklist19:13 – AI companionship: Support or silent danger?21:02 – Negligence & product liability in AI deployment23:00 – Should AI liability be a new legal category?23:53 – AI in hiring: The case for algorithmic bias audits24:49 – Should agency be granted to AI?25:09 – What’s next for Future Proof & AI innovation27:35 – Final thoughts: Upskilling, value, and the future of work28:50 – Monica’s vision: “Let technology live up to its hype”Connect with Monica D. Higgins & FuturProof:🔗 LinkedIn🌐 FuturProof WebsiteConnect with Tolulope Awoyomi (Host):🔗 LinkedIn🔗 TwitterLike what you heard? Hit subscribe, leave a rating/review, and share it with someone who needs to hear this.Tag us with your thoughts using #EverythingAIAndLaw

AI isn't just replacing jobs — it's creating entirely new ones.In this video, we explore 24 exciting jobs emerging from the rise of artificial intelligence — split into technical and non-technical roles.Whether you're a coder, a creative, or just curious about where the world is headed, this video will open your eyes to the career opportunities of tomorrow.Now is the time to adapt, learn, and thrive in the AI era.🎙️ Hit follow to stay updated on tech, AI, and the future of work.

It's well known that AI cannot exist without data. However, we need to balance this as sensitive information shouldn't be exposed.In this video, I show you two simple ways to protect your data from being used to retrain AI models like ChatGPT.As a technologist, I understand that AI depends on data and that these models need continuous improvement. At the same time, as a lawyer, I recognize the privacy risks AI presents—especially when it comes to personal and confidential data that must be protected.While this video focuses on ChatGPT, the same concerns apply to other AI tools. Even if you don’t use ChatGPT or have a paid plan, it’s important to understand the risks of sharing sensitive data with AI models—it could be used to retrain them.Think of it this way: Entering sensitive data into an AI tool is like posting your private information on the open internet. Once it’s out there, you have little control over where it might end up.So what can you do?Opt out of AI training when possible.De-identify your data before sharing.Read the privacy policies—yes, they’re long, but they matter.--------Follow for more AI insights. 

Want the latest AI news, breakthroughs, and policy updates in one place? Tune in every Monday for a quick yet deep dive into the biggest AI developments from the past week.What’s Inside?AI Innovations – The latest models, tools, and research shaping the future.AI Laws & Regulations – Key government policies and legal shifts.Industry Updates – Startups, acquisitions, and big tech strategies.Ethical Debates & AI Controversies – The impact of AI on jobs, privacy, and society.New Episodes Every Monday! Hit Follow so you never miss an update!Join the Conversation:💬 What’s your take on this week’s AI news? Share your thoughts!⭐ Follow & Rate to stay ahead of the AI curve!

Thinking about using AI but don’t know where to start? In this episode, I’ll walk you through five easy ways to access AI models and begin leveraging artificial intelligence in your projects, business, or everyday life.Follow the podcast for more AI insights!------------📌 Pre-order AI, Machine Learning, Deep Learning: From Novice to Pro

Pre-order AI, Machine Learning, Deep Learning: From Novice to Pro.