AI is rapidly evolving – and businesses, governments and the general public are trying to keep up. How can they access the full potential of AI, including generative AI, without introducing significant risks? Luminos.Law has a few tips for those looking to build trust in their AI systems: 1) Prioritize the management of critical risks, such as AI bias and privacy violations - and be prepared for new regulations and industry standards to emerge. 2) Be as transparent as possible with consumers about how their data will be used to train AI models and while interacting with AI systems. 3) Conduct regular AI audits to ensure - and to demonstrate - that standards are consistently met. We are the first law firm to specialize in comprehensive AI audits for global enterprises. Our confidential AI audits help clients assess the risks of AI bias, comply with all relevant regulations, address the needs of third party oversight and investigations and to demonstrate best-in-class efforts to mitigate AI risk to their customers. Interested in learning more? Get started by visiting www.luminos.law or reaching out to us at [email protected].
Luminos.Law (Acquired by ZwillGen)
Legal Services
Washington, DC 1,930 followers
We help the world’s largest and most innovative businesses manage the risks of their AI and data.
About us
Founded in 2019, Luminos.Law is the only law firm jointly run by lawyers and data scientists. We blend deep technical expertise with strategic counsel, helping our clients adopt AI while managing its risks. We provide strategic legal and technical counsel through five primary services: • Generative AI risk management • Privileged and confidential AI fairness audits and certifications • Data de-identification assessments and certifications • AI governance policies and procedures tailored to each client and industry • Custom software to automate the testing of AI and data for risks Click below to get started working with us or reach out to [email protected].
- Website
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https://www.luminos.law
External link for Luminos.Law (Acquired by ZwillGen)
- Industry
- Legal Services
- Company size
- 2-10 employees
- Headquarters
- Washington, DC
- Type
- Partnership
- Founded
- 2019
Locations
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Primary
1 Thomas Circle NW
Washington, DC 20005, US
Employees at Luminos.Law (Acquired by ZwillGen)
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Ingrid Burton
Executive | Board Member | Advisor
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Ellie Graeden
Chief Data & Product Officer at Metron | Professor@Georgetown | Building data products that matter
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Natalie Linero
AI Division Intern at ZwillGen | JD Candidate 2025 | Artificial Intelligence, Technology, & Intellectual Property
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FAU G 1
Compounder at bnh.ai
Updates
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We are thrilled to announce that Luminos.Law has joined forces with ZwillGen to create their Artificial Intelligence (AI) Division. Our team of lawyers, data scientists, and AI specialists, along with our proven processes are now part of the ZwillGen family. We are eager to work alongside ZwillGen's talented team and combine our specialized AI assessment capabilities with their established legal and policy guidance. Together, we'll help organizations better understand, evaluate, and implement AI technology while managing associated risks and compliance requirements. The acquisition launches ZwillGen’s AI Division focusing on red team testing and audits for AI models and systems, alongside the firm’s long-standing legal and policy guidance around AI technology. https://lnkd.in/eyry7KvH Thank you to our clients and partners who have been with us on this journey. We look forward to serving you with expanded capabilities as part of the ZwillGen team. Learn more: https://lnkd.in/e-SSVWGT
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For the last few years, all eyes have been on starting AI practices, building models, integrating advanced AI systems into products and services. It's time to start thinking more deliberately about what happens when these go wrong - as they inevitably will in some way. Our own Andrew Burt addresses this in his latest from Harvard Business Review - How to Prepare Your Company for AI Incidents. If you have questions about how to get your company ready in line with his recommendations, please let us know. We're here to help! https://lnkd.in/ddJAkKxH
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🎙️ New #PrivPodcast Episode 🎙️ In this insightful #PrivPodcast episode, Brenda Leong, Partner, Luminos.Law and Miles Light, Senior Counsel, Youth, Privacy, & Technology, BBB National Programs, discuss the complexities and evolving landscape of AI governance. The two explore the legal and operational challenges, human oversight in AI systems, and businesses' responsibilities in navigating this technology. 👉Listen here to explore how AI is shaping the future of business and law: https://lnkd.in/eppP6BBD #PrivPodcast #PrivacyAbbreviated #AIGovernance #PrivacyLaw #AIPodcast
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🔄Missed Our Latest Insights? 🔄 In case you missed it, Luminos Law’s Associate Andrew Eichen recently published a fantastic article on the IAPP - International Association of Privacy Professionals, diving into how Red Teaming is being used to assess GenAI models. Red teaming allows companies to identify risk and strengthen their AI governance strategies proactively. Even lawmakers and regulators increasingly turn to this method to enhance transparency and build trust in GenAI systems. To dive deeper into protections and the role of Red Teaming in AI governance, check out Andrew Eichen’s full article “Emerging trends in regulating generative AI: How red teaming is shaping the landscape” to explore: ➡ What red teaming involves ➡ Why regulators are embracing red teaming ➡ Key global trends in AI red teaming ➡ Guidance from other nations on red teaming practices 🔗Read the full article here: https://lnkd.in/eKQkC3tf #GenerativeAI #AIRegulation #RedTeaming #AIGovernance #ArtificialIntelligence #ResponsibleAI
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GenAI is evolving rapidly, and so are the regulations surrounding it. One primary method being used to assess GenAI models? Red teaming. By offering a structured approach based on advanced prompt engineering to assess system performance, red teaming helps companies identify potential system risks and supports their overall responsible AI governance practices. Lawmakers and regulators are expanding their use of this technique as the center of evolving legislative approaches to push for greater transparency and generate greater trust in GenAI systems. Curious to learn more? Check out Andrew Eichen’s insightful article on the IAPP: “Emerging trends in regulating generative AI: How red teaming is shaping the landscape” to explore: What red teaming involves Why regulators are embracing red teaming Key global trends in AI red teaming Guidance from other nations on red teaming practices 🔗Read the full article here: https://lnkd.in/e3tbsyi4 🔗 #GenerativeAI #AIRegulation #RedTeaming #AIGovernance #ArtificialIntelligence #ResponsibleAI
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🚀 Exciting Announcement! 🚀 One of our Partners, Brenda Leong, will be speaking at the IAPP KnowledgeNet - DC Chapter event on the panel discussion titled "AI Governance: A Guide for Privacy & AI Professionals." As AI continues to evolve, the intersection of privacy and governance becomes more critical than ever. I look forward to exploring best practices, challenges, and solutions that can help us navigate this rapidly changing landscape. Whether you're a privacy professional, AI enthusiast, or just curious about the future of technology, this session will provide valuable insights. 📅 Date: September 18, 2024 📍 Event: IBM Office, 600 14th St. NW, Washington, DC 🎤 Topic: AI Governance: A Guide for Privacy & AI Professionals Looking forward to engaging with fellow professionals and sparking some insightful conversations! #AIGovernance #ResponsibleAI #AILaw #IAPPKnowledgenet #AI #PrivacyandAI #DataGovernance
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In case you missed it, Part 2 is out now from the IAPP - International Association of Privacy Professionals! If you’re interested in exploring the legal discussions surrounding GenerativeAI and Intellectual property, check out our series, “Generative AI and Intellectual Property II: Copyright Implications for AI Inputs and Outputs” by Brenda Leong, Ekene Chuks-Okeke, and Natalie Linero. This second part of the series examines how the fair use doctrine applies to AI regarding protections for content used as training data through recent court cases. 📖 Read the full article here: https://lnkd.in/e2JcxaPi If you want to refer back to Part 1, you can find it here: https://lnkd.in/enxFdNnU #ailaw #aigovernance #responsibleai #generativeai #intellectualproperty #copyright
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🚀 Navigating Legal Privilege in AI Red Teaming 🚀 This article is a must-read for professionals in AI development, legal compliance, and risk management to understand how to integrate legal privilege considerations around Generative AI red teaming practices. In this IAPP - International Association of Privacy Professionals article from Luminos.Law staff, "Applying Legal Privilege Protection for Red Teaming: Assessing Generative AI Systems," Brenda Leong, Andrew Eichen, and Ekene Chuks-Okeke, delve into the critical intersection of the testing and technical assessment of AI systems with legal protection for privileged outcomes. 🔍🔍 In this article, learn more about: 🔍🔍🔍 1. What is Red Teaming? 2. A Refresher on the Rules Around Legal Privilege 3. Anticipating How to Protect Privilege When Testing Models 4. Challenges and Recommendations 🔗 **Read the full article here: //https://lnkd.in/e9Xzg4Ed ** #AI #GenerativeAI #RedTeaming #LegalPrivilege #ArtificialIntelligence #AIGovernance #AIRiskManagement #ResponsibleAI #AILaw
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🔄Missed Our Latest Insights? 🔄 In case you missed it, Luminos.Law Partner Brenda Leong, Legal Fellow Ekene Chuks-Okeke, and Research Associate Natalie Linero, explored the legal challenges and implications of copyright surrounding Generative AI in an insightful article originally posted by the IAPP - International Association of Privacy Professionals. As copyright law strives to catch up with GenAI space, a clear understanding of intellectual property and creators’ rights remains more crucial than ever. The ongoing debate over the using copyrighted works in AI to train data has artists and developers searching for answers on what is considered acceptable use. Fortunately, there are potential exceptions to copyright protections that can protect organizations from potential copyright infringement suits. To learn more about such protections and gain a deeper understanding of this topic, click here https://lnkd.in/enxFdNnU to read the full article: Part 1: Discussion of IP Issues in Training Data. If you’re read for more - you can also fast forward to Part II: Generative AI and Intellectual Property II: Copyright Implications for AI Inputs and Outputs, here: https://lnkd.in/e2JcxaPi
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