The No-B.S. AI Law Blog

Beyond the “Wild West”: Understanding AI’s Place in Existing Legal Frameworks

A common narrative pervades discussions of artificial intelligence regulation: that AI exists in a lawless “Wild West,” devoid of meaningful oversight or control. This perception, while widespread, fundamentally misunderstands how existing legal frameworks already intersect with AI governance. In my (soon to be submitted) Note for the Cardozo International & Comparative Law Review, I’m examining…
Deepfakes and Democracy: The Growing Threat

Does anyone else remember that viral Tom Cruise TikTok from 2021? The one where he did coin tricks and played golf? Many viewers knew it wasn’t real — it was a sophisticated deepfake that took months to create using high-end computing equipment, and even touted the username “deeptomcruise.”¹ Fast forward to January 2024: AI-generated robocalls…
Not So Artificial: Beating the 2L Blues

Let’s talk. It’s been a few months since my last post on The No-B.S. A.I. Law Blog, and this is not for lack of exciting artificial intelligence developments, but instead for “not so artificial” experiences I plan to incorporate onto the blog as weekly segments. My unannounced hiatus from The No-B.S. A.I. Law Blog was…
AI in Energy Law: Opportunities and Challenges

The rapid advancement of AI is reshaping the energy sector, offering opportunities and challenges for energy lawyers. AI can streamline contract review, facilitate renewable energy projects, and enhance market analysis. However, navigating regulations, data concerns, and ensuring responsible AI deployment are critical. Continuous learning and collaboration are essential in this evolving field.
The Digital Drug Pipeline: Ensuring Legal Compliance in AI-Assisted Pharmaceuticals

Artificial intelligence (AI) is transforming drug discovery in the pharmaceutical industry by analyzing vast data, identifying drug targets, and streamlining development. However, legal challenges arise due to unclear regulatory guidelines, the need for a results-driven approach, and the importance of collaboration between AI systems and human expertise. Establishing a comprehensive regulatory model is crucial for…
Navigating the Privacy Landscape of Generative AI in the Legal Profession

Generative AI has the potential to transform the legal industry, but it raises privacy and data concerns. These include unauthorized access to client data and the risk of re-identification. To address these issues, strong privacy protections, client agency, and advanced anonymization methods are essential. As legal professionals, it’s crucial to advocate for policies prioritizing client…
Bloomberg Law Thinks AI Is Killing the Billable Hour: Here’s Why They’re Wrong

A recent article in Bloomberg Law by Roy Strom suggests that artificial intelligence (AI) could spell doom for the traditional law firm business model based on billable hours [6]. The argument goes that as AI makes lawyers more efficient, it will reduce the number of hours they can bill, leading to a decline in revenue…
Navigating the Legal Landscape of AI in Hiring Practices

Artificial intelligence (AI) is revolutionizing hiring, but concerns about bias and discrimination remain. Biases in AI algorithms, as seen in Amazon’s resume-scoring system, can perpetuate discrimination. Some jurisdictions are enacting laws to regulate AI hiring tools, but proactive monitoring and inclusion-focused design are also crucial. Diverse teams and transparency can help harness AI for equitable…
AI’s Impact on Global Investing and Implications for Legal Professionals

Recent analyses indicate that AI could boost the global economy by $1.49 trillion to $5.89 trillion over the next decade, while also posing risks of exacerbating inequality and existential threats. Legal professionals are poised to handle regulatory, ethical, and liability issues related to AI, but must carefully consider potential risks and societal implications.
The Legal and Ethical Imperatives for AI-Powered Biotech Innovation

Artificial intelligence is reshaping biotech, with venture capital driving its potential for healthcare. Ethical funding is crucial, as biases in data and algorithms can exacerbate healthcare disparities. Legal frameworks like HIPAA may need updates to govern AI effectively. Proactive ethical integration and diverse talent can maximize AI’s potential while ensuring fairness and transparency, ultimately transforming…