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Ajwang Rading shared thisThe most underrated job in AI right now isn't building the models. It's the lawyer who sits between the PM, the engineer, and the UX designer — and translates the law into product decisions before the product ships. This week, my class had the privilege of hosting Keith W., AI Product Counsel at Google DeepMind. We opened with a fireside chat. The students took it from there with some of the sharpest questions I've heard all season. A few of the threads we pulled on: → How AI counsel actually operates inside a frontier lab — not as a gatekeeper, but embedded with product, engineering, and design from day one → Antitrust and competition: what "competitive" even means in a market with a handful of foundation model providers, and how regulators think about partnerships, compute access, and distribution → Training data and IP: where the case law is heading, what's already settled, and what every product team should be asking → Liability when the product is an agent: who owns the action when the model takes one → The compliance map: EU AI Act, the US state patchwork, and what shipping globally actually looks like The thing I keep telling my students: the next generation of great AI lawyers won't think like lawyers. They'll think like product builders who happen to know the law cold. Keith — thank you for the time, the candor, and the questions you sent the class home with. You were INCREDIBLE! This is what teaching at this moment is supposed to feel like.
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Ajwang Rading shared thisThe National Treasure movies. The Meg. Last Vegas. Cool Runnings (my favorite). This week, the director behind those films — Jon Turteltaub — joined my "Governing Artificial Intelligence" class at UCLA. We didn't talk box office. We talked about whether Hollywood as we know it survives what's coming. The center of gravity was the next generation of entertainment, copyright, and power dynamics — the live wrestling match between major studios and frontier AI labs (OpenAI, Anthropic, ByteDance) over training data, derivative works, and who actually owns the creative substrate of an entire industry. We worked the problem through a legal remedies framework: → Who is the plaintiff? → What is the actual harm? → Where does causation hold up? → And just as importantly — where does this framework break down? The limits matter. Traditional tort and IP doctrines were not built for systems that ingest billions of works at once or even to trace it. So we mapped a governance toolkit on the whiteboard — technical levers (provenance, watermarking, model-level controls) alongside non-technical ones (internal AI ethics infrastructure inside the labs themselves, external accountability regimes, labor protections). Then we zoomed out: • China's rise of fully synthetic AI "actors" and what that means competitively for an American entertainment industry already on its back foot. • The upcoming round of negotiations between Hollywood's labor unions and the studios. • Where Jon — three decades of blockbusters under his belt — actually thinks the industry is heading. His read was clear-eyed. Not doom. Not hype. The view from someone who has spent his career making the thing. The students were locked in for every minute of it. Honored to call Jon a friend, and grateful he gave them an afternoon they will not forget. The next generation of lawyers, policymakers, and builders will inherit this fight. The least we can do is teach them how to think about it. We have upcoming speakers from Google's Deepmind, OpenAI, and Anthropic so stay tuned! If you want to visit the class OR want to join my Startup law class in the Fall at Santa Clara Law School, let me know!
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Ajwang Rading shared thisSuper excited for this!!! Julian is the real deal!Ajwang Rading shared thisToday, I am launching the waitlist for Noe Neuro Early-onset dementia diagnoses rose 373% among adults aged 30 to 44 in just four years. Neurological decline begins up to 20 years before symptoms appear. Most people never get the chance to act early enough. We built Noē to change that. A 60-second brain scan that tracks your brain age, mental clarity, thinking speed, and early signs of deterioration. Noē then provides you with a personalized plan to improve your cognitive health using evidence-based methods. And the earlier you know, the more you can do about it. Early intervention leads to significantly better outcomes. If this resonates with you, please repost. It would mean the world to us. #brainhealth #neuroscience #longevity #healthtech Link is in comments
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Ajwang Rading posted this🚨 According to a new MIT paper, AI already has the technical capability to touch work representing 11.7% of U.S. wage value — over $1.2T. Was talking with one of my students this week about whether AI is “just a tech problem” or a “whole economy problem.” After digging into MIT’s new Project Iceberg paper, it’s pretty clear: it’s the whole iceberg. 🧊 The paper introduces the Iceberg Index – a skills-based way to measure how exposed different jobs are to AI. It completely reframed our conversation: • 🧮 Tech is just the tip: Visible AI adoption in software & tech roles is a small slice of total U.S. wage value. • 🧊 The hidden 11.7%: AI has technical capability to affect work across admin, finance, healthcare, and professional services — far beyond “coders and startups.” • 🌎 Geography surprise: States that aren’t thought of as “AI hubs” still show major white-collar exposure. • 📊 Old KPIs are broken: GDP, income, and unemployment explain only a tiny fraction of where AI exposure actually is. We’re using analog gauges in a digital storm. The bottom line I shared with my student: --AI risk isn’t a “San Francisco tech worker” problem. It’s a skills, systems, and power problem across the entire economy. --If your AI strategy (in policy, workforce, HR, higher ed, or corporate) is still centered on “tech jobs in SF/NYC,” you’re steering by the wrong map. Time to plan for the whole iceberg: 🔁 Reskilling around skills, not job titles 📍 Targeting investments based on exposure hotspots, not just GDP 🤝 Designing AI to augment critical human work instead of quietly hollowing it out These are exactly the conversations we should be having with students, workers, and policymakers right now. I'll put a copy of the paper in the comments below!
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Ajwang Rading posted thisYesterday I walked my law students through California’s AI compliance stack—privacy (CCPA/CPRA), Automated Decisionmaking Technology (ADMT), and AB 2013/SB 53 (AI training-data transparency). We pressure-tested the rules with a HireBot hypo: an AI that scores 1,000 applicants and infers “leadership,” “cultural fit,” and “stress resilience” from public data. 🤖📄 Five sharp takeaways: 🧩 Inferences are data with consequences. Under CPRA, what you derive about a person can be as sensitive as what they hand you. Purpose matters, and so does what an “average consumer” would reasonably expect. ⚖️ Significant decisions demand process, not vibes. ADMT triggers when employment opportunities are at stake. That means pre-use notice (plain-language logic), and either a true opt-out or a meaningful human appeal—i.e., a reviewer with time, context, and authority to overturn scores. 🔍 Transparency is moving upstream. Training-data disclosures are coming: source categories, whether personal information or copyrighted material is included, and how you tried to identify provenance. A “we scraped the internet --- oops” posture is a legal, PR, and product risk. 🧰 Governance by design beats compliance by fire drill. Build an inference register, publish model cards in plain English, track override rates from human review, and document disparate-impact testing. Day 0 > Day 900. 🧠 Policy through a startup lens. Transparency isn’t busywork—it narrows information asymmetries, exposes exclusionary outcomes, and keeps markets contestable. Explainability is the price of automated power. Founders, GCs, and policymakers: the 2026 transparency horizon is closer than it looks. Design for it now and your product will be safer, faster, and more fundable. ⚡️ #AI #Privacy #Compliance #Transparency #ADMT
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Ajwang Rading shared thisMy “sit down” with none other than Sama. The world is changing quicker than we all think.
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Ajwang Rading posted this📣 Attention founders, operators, startup attorneys or anyone building a company!!!📣📣 In a couple of weeks I’ll be teaching Startup Law at Santa Clara Law—and next spring I’ll be back at UCLA with Governing AI. 🤖 We’ll dig into how AI is expanding what counts as a “startup”—from one‑person‑plus‑agents companies and AI‑native workflows to data & model governance (privacy, safety, evals), IP around datasets/model weights, open‑source vs. frontier strategies, compute economics, and new funding/control structures (SAFEs vs. revenue‑share, data licensing, model‑IP assignments). 🥸 Guest speakers wanted: Founders, operators, and company counsel—up for a 30–45 min guest talk or fireside chat + Q&A? Students learn best from real stories and trade‑offs. 💯 Topics we love: term sheets & dilution, cap tables, board dynamics, and product‑law/AI risk. DM me!!!
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Ajwang Rading posted this🚀 Got an AI idea marinating in your Notes app? What if I told you you can build it and ship it TONIGHT? --- I’m hosting an incredible startup, Emergent, and opening the doors at 201 California St., San Francisco for “vibe code w/ emergent – that idea in your head? let’s build it tonight.” Bring your half-baked concept, your Figma mock-ups, or that napkin sketch—then stack it against: ⚙️ Rapid-fire build pods (design, dev, GTM, legal) 💡 Live feedback from operators, founders, and yours truly (AI attorney + policy lecturer) 🎶 A soundtrack that keeps the code flowing and the energy high Walk in with a spark, walk out with something demo-ready—and a crew that’s as serious about inclusive innovation as you are. 🕖 When: Tonight — doors at 6 PM, first commit by 6:30 RSVP link in the comments section ⬇️ Tag a builder who needs the push—see you IRL. #AI #Startups #BuildInPublic #InclusiveInnovation #SFTech
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Ajwang Rading shared this🚀 Builders, dreamers, & AI tinkerers — let’s turn that idea in your head into a live demo next Wednesday. I’m hosting Emergent’s “Vibe Code” build-night on our 2nd-floor space in downtown SF (201 California St.): 🗓 Wed, June 4 | 5-8 PM 👥 Micro-hackathon + lightning demos 🤖 See how Emergent’s AI stack ships prototypes in hours, not months 🥂 Light bites, good people, big ideas Space is intentionally limited so every team gets hands-on guidance. Secure your spot here ➡️ https://lnkd.in/gsTBjF-G This is the first of a monthly after-hours series I’ll be hosting to spotlight frontier AI companies and keep our community at the edge of what’s possible. Come build, learn, and vibe with us!vibe code w/ emergent - that idea in your head? let's build it tonight · Lumavibe code w/ emergent - that idea in your head? let's build it tonight · Luma
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Ajwang Rading liked thisAjwang Rading liked thisWe lost $1M because we made these 6 mistakes... A year ago we built a competitive intelligence system for a $35B publicly traded enterprise in Austria. The system worked... We shipped it on time... And they signed off with positive feedback at the end. But the relationship died immediately after. The goal going into this relationship was to start with a pilot project, then move to multi-year partnership that would've been a million-dollar-plus contract. And we blew it... Here are the 6 mistakes we made: 1. We didn't define success deeply enough. 2. Time-to-value took too long. 3. We only met one person, and he wasn't the end user. 4. We treated it like a project, not a partnership. 5. Handoff was a doc and one demo call. 6. Discovery was too narrow. What we changed: → Mandatory → Real discovery. → Progressive deployment. The goal is to build an indispensible system, establish a relationship, and blow them away with value. Easier said than done, but earning million dollar contracts requires delivering something they can't imagine running the business without. Our pilot project delivered exactly what they asked for... but it wasn't what they truly needed. This was a huge learning experience for us and we plan to never make these mistakes again. 🎬 My full YT video walks each mistake in detail with exactly what we'd do differently. Link in comments 👇 #ai #agents #agentic #claude #openai
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Ajwang Rading liked thisThank you to the fabulous Stanford Law Review editors and to everyone else (too many to name) whose input and support helped me to bring AI and Doctrinal Collapse to fruition. Download here: https://lnkd.in/dDnR9tJQ.Ajwang Rading liked thisVolume 78, Issue 5 is now live on our website! In the first Article, Alicia Solow-Niederman argues that the rise of artificial intelligence has triggered an "inter-regime doctrinal collapse" between privacy law and copyright law, enabling leading AI developers to exploit data acquisition and evade legal oversight. https://lnkd.in/gPtbE-S5 In the second Article, Alvin Velazquez examines how corporations weaponize the bankruptcy system against labor and argues that denying unions the same discharge protections as corporations undermines collective worker power and bankruptcy's promise of a fresh start. https://lnkd.in/gGdNMvbk In a Note, Leo Rassieur calls for a recentering of Section 1988 in constitutional torts, arguing that the Supreme Court's actual importation of common-law elements into Section 1983 leaves constitutional violations unanswered and victims uncompensated. Read more here: https://lnkd.in/dcKQ39V7
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Ajwang Rading liked thisAjwang Rading liked thisYou can’t perform at your best if your mental health isn’t at its best. 🧠 I’m excited to share some conversations I’ve had over the last few years around mental health in sport in acknowledgment of #MentalHealthAwarenessMonth! In the sports medicine world, we’re finally seeing a shift. Athletes like Simone Biles and Naomi Osaka have helped lead a powerful conversation—moving us away from “performance at all costs” to prioritizing the whole person. Because behind every high performer is a human being navigating pressure, expectations, and identity. This is something I understand deeply—not just as a sports medicine physician, but personally. Without the right support, education, and environment, pressure doesn’t just impact performance… it can impact lives. That’s why conversations around athlete mental health, wellness, and sustainable performance matter now more than ever. Check out the full podcast here: https://lnkd.in/guQXDguP. And 📩 DM me if you’d like to connect about speaking engagements for your school, organization, team, or event. More to come soon. ✨ #TSWInspires #MentalHealthAwareness #AthleteMentalHealth #SportsMedicine #PerformanceHealth #WellnessSpeaker #HealthcareSpeaker #KeynoteSpeaker #LeadershipSpeaker #StudentAthletes #MentalHealthMatters #BlackDoctors #BlackWomenInMedicine #BlackExcellence #DiversityInHealthcare #SpeakingEngagements Deborah Sawaf
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Ajwang Rading reacted on thisSobering and thoughtful look at what the next gen of legal pondering around AI and the film industry through the eyes of director John Turtletaub and the teachings of my friend Ajwang Rading.
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Ajwang Rading reacted on thisAjwang Rading reacted on thisThe legal AI debate has been framed as Harvey versus Legora. There is a third option that most managing partners have not yet registered. If I were running a Big Law firm right now, I would not be in a procurement conversation at all. I would be hiring a couple strong engineers, possibly even just one, who understand the current generation of AI coding tools, and pointing them to Mike, the open-source alternative that released this week. Here is the reasoning: In the legal business, two things are worth protecting like the assets they are: your workflows and your work product. Decades of refined pleadings, deal architecture, internal know-how, the way your best partners actually think through problems. That is the firm. Feeding all of it into a vendor's black box is not a strategy. It is an outsourcing of the only durable advantage you have left. Software has been democratized in a way it was never before. A firm no longer needs a hundred-person engineering team. With today's AI coding tools, a single capable engineer can build, customize, and maintain serious internal tooling. Mike gives them a working foundation to start from instead of a blank page. This is not a knock on Harvey or Legora. They are real products with real customers, and there are firms for whom buying is the right call. But for any firm large enough that its workflows and data are genuinely proprietary, the build path is more available than it has been in years, and the cost of not exploring it is higher than it looks. The firms that figure this out early will own their AI layer. The ones that do not will be renewing a license forever and wondering where their leverage went.
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Education
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University of California, Los Angeles - School of Law
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Activities and Societies: UCLA Law Review, Articles Editor Dean's Advisory Council, Member Clara Barton International Humanitarian Law Competition, UCLA Law Team 2020 Veteran's Homeless Justice Clinic, Associate (Won remedial benefits relief for two U.S. Veterans)
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Volunteer Experience
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Legal Advisory Committee
Silicon Valley Urban Debate League (SVUDL)
- Present 3 years 10 months
Civil Rights and Social Action
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Honors & Awards
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Best Legal Brief Award
Clara Barton International Humanitarian Law Competition
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2020 Change Lawyer
California State Bar Foundation
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Skye Donald Spirit of Community Award
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Highest student honor selected by faculty and students for impact on law school.
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Scholar
John Langston Bar Association
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Aryeh Friedman
A new California law (FIP VCC) is forcing VCs to ask portfolio company founders about their sexual orientation, disabilities, and more – all so it can be reported to the state. We built a new system to help funds on AngelList comply without ever seeing individual founder responses. To preserve founder privacy everywhere, we've decided to make the system available to any fund for free, regardless of who they work with for fund admin. You can use it today: fipvcc.com
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Bahrad Sokhansanj
Catching up on xAI's constitutional challenges against California's Generative #AI Training Data Transparency Act #AB2013, a hearing on the PI was held a few days ago in federal court (C.D. Cal.). Judge Bernal asked the attorneys from the state Attorney General's office to go back and confirm whether there'll be an enforcement action against X presently, given that X has already provided some disclosures with respect to Grok. We'll see what the state says, and depending on that, where the case goes next!
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Omer Levi
A NIS 200 million lawsuit filed by Raftt shareholders against Wiz highlights significant risks in the "Acquihire" model, underscoring the complexities of modern tech acquisitions. The allegations are serious: investors claim that Wiz and the founders orchestrated a "phantom deal," transferring the team and intellectual property without involving the Cap Table, effectively sidestepping traditional acquisition protocols. The claim argues that the technology behind "Wiz Code" was essentially stolen from early-stage backers who funded Raftt's development. For managers and representatives of Early-Stage Funds, this case serves as a crucial lesson in the importance of deal structure and governance from the outset. 3 Key Lessons for Seed & Series A Investors: 1️⃣ Expand "Deemed Liquidation" Clauses: Documents should trigger liquidation preferences for substantial asset sales, exclusive IP licensing, or coordinated team transfers. If the value leaves the entity, investors must be protected. 2️⃣ Lock Down IP Assignment: Ensure ironclad IP ownership and prevent side-agreements that allow founders to walk away with core technology. Disputed patents can become a multi-million-dollar liability years later. 3️⃣ Mandatory Veto Rights (Protective Provisions): Investors must hold a clear veto right over a majority of liquidation events, mergers, or asset sales. Without this "seat at the table," a majority of common shareholders could approve a move that guts the company's value before it's known. The Bottom Line: Robust legal frameworks are essential not to hinder founders but to ensure fair treatment for initial risk-takers and safeguard the integrity of the entire venture capital ecosystem. Read the full story here: https://lnkd.in/deVBz8x9 #VentureCapital #StartupLaw #TechLaw
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Nicole Ozer
Looking forward to presenting keynote remarks at the ACM Computer Science and Law Symposium this week at UC Berkeley. I'll be in a fireside chat with Daniel Weitzner on "The History and Future of Computer Science and Law Collaborations on Privacy Policy." This symposium presents such important opportunities to connect about cutting-edge cross-disciplinary research and see so many wonderful colleagues from both CS and law. "Computing, software, and the Internet now pervade all aspects of society. These systems raise deep and difficult technical questions in computer science, as well as deep and difficult doctrinal and policy questions in law. These two sets of questions are increasingly intertwined, creating a pressing need for research that combines legal and technical tools and that is sound from both a technical and a legal aspect...Central to the study of 'computer science and law' is the creation of a body of scholarship aimed towards the co-design of law and computing technology to promote social goals." Link to more information in the comments.
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Junto Law
If your fund has California LPs or portfolio companies, California's new FIPVCC law requires you to register with the state and report demographic data on your founding teams. Even if you're not based there. The registration deadline is March 1st and the first report is due April 1st. Non-compliance runs $5,000/day. Shayn Fernandez and Matt Jones broke it all down (with a The Bear reference, because it felt right): https://lnkd.in/dgVaGWM6
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Matthew Wansley
Bryant Walker Smith and I are proud to share our paper, Regulating Robotaxis, which is forthcoming in the Southern California Law Review! A link to the SSRN download page is in the comments below. Feedback is welcome! Here's the abstract: In several sunbelt cities, commercial robotaxi service has arrived. The leading robotaxi company is providing over 250,000 trips per week. The industry claims that robotaxis will save lives and provide convenient and affordable mobility. Critics counter that they will increase congestion, undermine transit, and subject the public to ubiquitous surveillance. We argue that the social impact of robotaxis depends critically on how they are regulated. We emphasize two points missing from the debate. First, some of the benefits of robotaxis may be political rather than technological—longstanding urbanist policy goals may become viable in a robotaxi world. Second, letting one private company dominate the transportation system risks monopoly abuse—and regulators can act now to prevent it. In this Article, we provide a comprehensive plan to regulate robotaxis. Carefully crafted externality regulation can address pollution, congestion, wear-and-tear on infrastructure, and privacy risks while minimizing distortions in choices between travel modes. Regulators can promote competition by permitting open entry and banning lock-in contracts. And they can protect riders even if competition fails by mandating that fares be transparent and rider-neutral and requiring that robotaxi companies maintain a fleet sufficient for emergencies. Policymakers should take advantage of robotaxi deployment to redesign the transportation system—liberate land from the tyranny of parking, refocus transit investments on high-throughput routes, and expand mobility for people with low incomes and people with disabilities.
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Jessica B. Lee
🚨 California's SB 53 “Transparency in Frontier Artificial Intelligence Act” was officially signed into law yesterday by Gov. Newsom Who does it apply to? ✅ Large frontier developers: companies with > $500M in annual revenue that train/initiate the training of frontier models. ✅Frontier models: foundation models trained using ≥ 10²⁶ floating-point or integer operations. *These thresholds are intentionally high, but the bill's preamble notes that additional legislation could target smaller companies in the future. 📋 What does the law require? ✅ Risk frameworks: Companies must publish (on their websites) a “frontier AI framework” detailing how they assess and mitigate catastrophic risk, the cybersecurity practices leveraged, and the governance practices they put in place. ✅Transparency reports: Must be issued when deploying or substantially modifying a frontier model. ✅Reporting to state regulators: Summaries of risk assessments must be filed with California’s Office of Emergency Services, and critical safety incidents must be reported within 15 days (24 hours for imminent risks). ✅Whistleblower protections: Companies cannot prevent employees from reporting violations of the law or concerns that a developer's actions pose a danger to public health or safety. Penalties: Noncompliance can result in civil penalties of up to $1 million per violation, enforced by the Attorney General.
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Ajibola Oladoke
Seattle Startup Integrate Secures $17M to Expand Defense-Focused Tool Integrate's Strategic Growth in the Defense Sector Seattle startup Integrate has secured $17 million in funding to scale its highly secure project management tool specifically designed for defense technology. The investment, which includes participation from leading venture capital firms, will support the development of new features, customer acquisition, and hiring of security experts. This funding highlights the increasing demand for secure collaboration platforms in the defense and national security sectors where data integrity and compliance are non-negotiable. Why Secure Project Management Matters for Defense Tech Integrate’s platform focuses on solving a critical problem: how to manage complex defense technology projects while maintaining the highest levels of security. The tool is built with end-to-end encryption, multi-factor authentication, and access control systems that prevent unauthorized access. These features are essential for government agencies and defense contractors handling sensitive research, classified data, and secure supply chain logistics. The need for such tools is growing as cyber threats become more sophisticated and supply chain vulnerabilities are exploited. Addressing Real-Time Defense Industry Needs By targeting defense technology firms, Integrate is responding to a market that demands both transparency in development and strict data protections. Many defense projects involve multiple stakeholders, including contractors, government agencies, and international partners, which increases the complexity of secure communication and collaboration. Integrate’s software enables teams to coordinate across departments and time zones without compromising the integrity of mission-critical data. The platform is already being used by several defense firms to manage projects ranging from satellite development to unmanned systems and cybersecurity infrastructure. Collaborating with Industry Experts As defense technology becomes more integrated with digital infrastructure, the need for secure collaboration tools is expected to grow. Teams like Swift Tech Co. build custom cybersecurity solutions for security and defense organizations, aligning with the industry’s push toward secure, resilient digital processes. Integrate’s expansion will allow it to further partner with similar firms to provide tools that meet evolving requirements from both the public and private sectors. --- Want to read more articles like this? Check us out! swifttechco.com | Swift Tech Co. #Cybersecurity #Defense #SwiftTechCo
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Steve MacKinnon
The business of AI is booming, but if you’re only paying attention to tech and valuations then you’re missing an equally important - and equally dynamic - part of the AI picture: regulation. At this point the tech is changing faster than the laws and regulators are playing catch-up, but when things change you don’t want to be caught by surprise. Last week, Gavin Newsom vetoed a California bill that would’ve banned minors from accessing many AI chatbots, citing that the restrictions were so broad they might effectively ban all access by youth. At the same time, he signed another set of AI laws - most notably Senate Bill 243 - that require AI chatbots to clearly tell users: “I’m an AI” (especially when minors are involved), and impose safeguards around self-harm detection and content moderation. What does this mean? Regulation is no longer lurking on the horizon; it’s here, and the focus is shifting from if AI should be regulated to how it is regulated. For startups and SMBs: the bar is rising. Even smaller players need to pay attention. And for leaders across the board: you need to ask not just “What can AI do?” but “What must AI do to be compliant, ethical—and future-proof?” If you’re investing in AI, rolling it out in your business, or thinking about it for your team this needs to be part of your strategy, risk and governance. Drop me a line if you have questions; let’s talk about how to stay ahead rather than fall behind. #AIRegulation #EthicalAI #AICompliance #AIBusiness #TechTrends #AIInnovation #DigitalTransformation https://lnkd.in/eepeZE_i
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