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Everything AI & Law

Tolulope Awoyomi

Welcome to "Everything AI & Law"!

Join me as I break down AI explained concepts, analyze AI trends, and tackle AI ethics challenges like data privacy law and the ethics of AI. From deep learning advancements to AI tools transforming legal workflows, I blend solo deep dives with expert interviews—featuring AI law scholars and tech innovators—to unpack machine learning applications, future of AI predictions, and actionable AI tutorial strategies.

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  • 20 episodes
  • Avg 21 min
  • English

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  • July 27 · 25 min

    7 AI Automations That Can Save You Hours Every Week

    I recently hosted a live class where I demonstrated seven practical AI automations and agents in action. If you missed the session, I have now made the full demonstration available for you to watch. You will see how AI can be used to:• Capture and qualify potential clients• Research opportunities• Manage lead follow-up• Organize emails and prepare draft replies• Create content and videos• Manage bookings and prepare client briefings• Turn meetings into notes and action items Some of the workflows can be learned through my courses. Others require guided support or a custom implementation based on your business. Use this link to find the right option for you:https://tally.so/r/7Rg0ML

  • S3 · E8
    June 14 · 3 min

    AI Automation Explained: Levels, Workflows, and Real Business Use Cases

    Automation goes deeper than most people think. In this short video, we break down the 4 levels of automation and how AI workflows can help businesses save time, reduce manual work, and work smarter. For courses, custom AI automation, or consulting support, visit: school.ailawbridge.com

  • S3 · E6
    June 8 · 57 min

    AI Automation Masterclass (Special Replay)

    In this special video replay, I share my AI Automation Masterclass, where I explain how AI tools, automation workflows, and AI agents can help professionals, founders, creators, consultants, legal practitioners, educators, and business owners reduce repetitive work, improve follow-up, and work smarter while keeping human control in the process. To go deeper, join the 5-week practical training here: https://school.ailawbridge.com/b/masterclass

  • S3 · E6
    May 31 · 5 min

    How to Use ChatGPT and AI Agents for Research and Slides

    In this practical video lesson, I show how to use ChatGPT and AI agents to support research, organise ideas, create report outlines, and prepare slide-ready content faster. Many people still spend hours researching, arranging information, and building presentations from scratch. With the right AI workflow, you can save time, work more clearly, and produce better first drafts while still applying your own judgment. This lesson is part of AI for Everyone Africa, where we teach practical AI, AI tools, AI agents, automation, productivity, and responsible AI use for everyday people, students, professionals, business owners, and organisations.

  • S3 · E5
    May 20 · 10 min

    2 Practical AI Automation Demos

    These demos show how AI can move beyond random prompting and become part of a real business system with intake forms, AI processing, documents, trackers, internal review emails, and human approval. DEMO 1: Meeting Notes to Executive Action Plan This workflow turns messy meeting notes into a structured action plan, creates a Google Doc, and sends an internal review email. DEMO 2: Lead Inquiry to Opportunity Brief This workflow turns a lead inquiry into an internal opportunity brief, updates a Google Sheet tracker, sends an internal review email, and prepares a client-facing Gmail draft for human review.The goal is not just to use AI tools. The goal is to understand how to connect the pieces into practical workflows that save time, improve follow-up, and keep human judgment in the loop. Here are the available NEXT STEPS: 1. I Implementation Audit & Roadmap: A focused diagnostic and advisory engagement for businesses, professional services firms, institutions, and small teams that want clarity before adopting AI, buying tools, or automating workflows. LINK: https://www.tolulopeawoyomi.com/offers#audit-details 2. AI Automation Implementation Cohort: A 6-week live guided implementation experience for business leaders who want structure, accountability, and practical support to move from AI ideas to working workflows. LINK: https://www.tolulopeawoyomi.com/offers#cohort-details

  • S3 · E4
    May 17 · 34 min

    From Chaos to Automation: How Businesses Use AI to Save Time and Scale Smarter (Webinar Replay)

    In this masterclass, Tolulope Awoyomi, AI Implementation Strategist and AI × Law Specialist, explains how businesses can move from AI curiosity to practical, safe, and measurable implementation. You will also hear practical examples of how AI-assisted workflows can turn messy meeting notes into action plans and lead inquiries into opportunity briefs. HELPFUL LINKS: 1. I Implementation Audit & Roadmap: A focused diagnostic and advisory engagement for businesses, professional services firms, institutions, and small teams that want clarity before adopting AI, buying tools, or automating workflows. LINK: https://www.tolulopeawoyomi.com/offers#audit-details 2. AI Automation Implementation Cohort: A 6-week live guided implementation experience for business leaders who want structure, accountability, and practical support to move from AI ideas to working workflows. LINK: https://www.tolulopeawoyomi.com/offers#cohort-details Connect with Tolulope Awoyomi: https://www.linkedin.com/in/tolulope-awoyomi/

  • S3 · E3
    April 11 · 11 min

    ChatGPT AI Agents: Automate Work Safely & Save Time (No Coding Needed)

    Most people are using ChatGPT without thinking about one important thing: safety. Not everything you can do with ChatGPT is something you should do, especially if you care about your data, your work, or how reliable your outputs are. In this episode, I walk through 4 safe and practical AI agent workflows you can start using immediately. No coding. No extra tools. Nothing that puts your data at risk. These are just a few examples. Once you understand how this works, you will start to see how many other safe workflows you can build and apply in your daily life or business. If you want to learn how to build these step by step and explore more safe workflows you can actually use: https://nestuge.com/chatgptagents AI is not about doing everything. It is about doing a few things well in a way that actually saves you time.

  • S3 · E2
    April 10 · 3 min

    Two Songs Created with AI

    In this episode, I share two songs I created using AI, guided by just a few prompts. One follows an Afrobeat direction. The other is an R&B-inspired, instrumental piece centered on hope. What stood out was how complete they felt, from structure to sound, all shaped in minutes. Listen to the full songs here: https://linktr.ee/tee_wonder

  • S3 · E2
    March 30 · 1 min

    Seeing Is No Longer Believing: AI-Generated Evidence Explained

    Seeing is no longer believing. Generative AI is changing how evidence is created, presented, and challenged in legal settings. Courts have long relied on audiovisual material as a form of “silent witness.” If it appeared authentic and could be minimally verified, it was often accepted. That assumption no longer holds. In this episode, we explore how AI-generated content is creating two critical risks: fabricated evidence being accepted as real, and genuine evidence being dismissed as fake. This second risk, often overlooked, is reshaping trust in digital evidence. This phenomenon is commonly referred to as the “liar’s dividend.” This is no longer theoretical. It is already happening.

  • S3 · E1
    March 16 · 5 min

    3 AI Lawsuits That Could Define the Future of Artificial Intelligence

    Artificial intelligence is advancing faster than the law. But three major court cases may shape the legal future of AI for decades. In this episode, we examine three landmark lawsuits that raise critical questions about artificial intelligence, copyright law, and the future of creative industries. Together, these cases raise important questions about AI training data, fair use, and whether large AI models can legally train on copyrighted material. These disputes could influence how courts interpret copyright law in the age of artificial intelligence. --- 🎙 Hosted by Tolulope Awoyomi - AI & Law Specialist | AI Educator

  • S2 · E23
    Sep 27, 2025 · 16 min

    AI Agents Explained + Live Travel Planning Demo | Tolulope Awoyomi

    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. Chapters 00:00 — What are AI Agents? 11:11 — Live Travel Agent Demo Follow, share, and rate this show if you enjoy practical, beginner-friendly AI insights.

  • S2 · E22
    Sep 20, 2025 · 30 min

    AI & The Law Guide 2025 | What Every Lawyer Needs to Know

    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 firm This is a no-hype, practical guide to staying competitive, competent, and compliant as AI reshapes the profession. Presenter: Tolulope Awoyomi Lawyer | AI Educator | Founder, AI & Law Bridge Connect LinkedIn: https://www.linkedin.com/in/tolulope-awoyomi/ Email: aiandlawbridge@gmail.com

  • S2 · E22
    Jul 12, 2025 · 43 min

    Can AI Be Trusted in Healthcare? Risks, Compliance & Ethics

    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 AI What happens when an AI makes a dangerous medical decision, and who’s responsible How AI could help, or harm, efforts to reduce healthcare backlogs like the NHS triage crisis Common traps medtech startups fall into with AI compliance Whether we need to rethink our entire model of risk, liability, and trust in medicine If you're building, regulating, or using AI in healthcare, this episode is essential listening.

  • S2 · E21
    Jun 29, 2025 · 13 min

    AI Lawsuits, Copyright Battles, and Regulation: The Past 6 Months of AI Law in the U.S.

    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 oversight This 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

  • S2 · E20
    Jun 28, 2025 · 25 min

    Confusion Matrix Explained Simply | Accuracy, Precision, Recall & F1 Score

    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 Score Perhaps 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

  • S2 · E19
    Jun 21, 2025 · 18 min

    AI Model (Machine Learning) Simplified

    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. Generalization Common errors in model training: Overfitting vs. Underfitting What “High Variance” and “High Bias” actually mean This 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

  • S2 · E18
    Jun 14, 2025 · 25 min

    Can AI Invent? IP Law, Patents & the Future of Innovation | Matthew Vaele & Tolulope Awoyomi

    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

  • S2 · E17
    Jun 7, 2025 · 21 min

    2 AI Short Movies + How I Made Them

    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 them Tools Used: ✅ ChatGPT ✅ Sora (by OpenAI) ✅ Google Veo 3 ✅ Royalty-Free Music ✅ Video Editing Software Chapters: 0:00 Intro 0:45 AI Short Movie #1 3:17 AI Short Movie #2 5:32 Behind the Scenes: Full Breakdown If 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/dmZ7FXJ Connect with me: 🔗 LinkedIn: linkedin.com/in/tolulope-awoyomi 🔗X (Twitter): x.com/TolulopeAwoyomi Email: everythingaiandlawpodcast@gmail.com

  • S2 · E16
    May 31, 2025 · 25 min

    Recurrent Neural Networks (RNN) Explained Simply

    Master the concept of Recurrent Neural Networks (RNNs). In this video, you’ll learn:- What RNNs are and how they work Differences between RNN, LSTM, and GRU The underlying concepts behind RNN operations How RNNs power applications in NLP, time series prediction, and more Real-world applications in NLP and time series If 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

  • S2 · E15
    May 24, 2025 · 45 min

    This Is the AI That Makes Deepfakes: GANs Explained Simply

    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 samples 𝗗𝗶𝘀𝗰𝗿𝗶𝗺𝗶𝗻𝗮𝘁𝗼𝗿 tries to figure out if a sample is real or fake They 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

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