The No-B.S. AI Law Blog

The $50 Billion Question: Navigating the Intersection of Generative AI, Regulatory Challenges, and the Future of Legal Tech

The legal technology market is expected to reach $50 billion by 2027, largely driven by generative AI. This growth presents opportunities for legal professionals, but also regulatory hurdles. As the industry adopts AI, it must navigate ethical concerns and ensure responsible innovation. Collaboration and continuous learning are essential for maximizing the benefits of AI in…
Grasping Doctrinal Courses with AI: Pierson v. Post as a Case Study

As a law student, you’re constantly faced with the challenge of understanding complex legal cases and their implications. Doctrinal courses, which form the backbone of legal education, require students to analyze intricate cases and extract key principles that shape our understanding of the law. One such case that exemplifies the nuances of doctrinal courses is…
The DABUS Effect: How AI is Transforming Intellectual Property Law and Practice

Artificial intelligence (AI) is reshaping intellectual property (IP) law, sparking debates over AI-generated inventions’ recognition and regulation. The DABUS patent case, featuring an AI system as inventor, prompted diverse rulings worldwide, highlighting the need for evolving legal frameworks. Additionally, AI’s impact on data use, competition, liability, and future IP practice underscores the necessity for comprehensive…
Lexis+ AI and the Future of Legal Tech: Implications for Access, Ethics, and the Legal Profession

Artificial intelligence is revolutionizing the legal field, with tools like Lexis+ AI promising faster, more efficient legal research. However, concerns about access and equity arise as these AI tools are predominantly available through premium platforms, potentially widening disparities in the legal system. Collaboration between public and private sectors could democratize access to legal AI, shaping…
Academic Integrity in the Age of AI: Redefining Plagiarism for Law Students

The article explores the impact of AI on academic integrity in legal education, highlighting the evolving definition of plagiarism and the need to reconsider AI’s role. It suggests embracing AI as a tool for learning, fostering transparency, emphasizing critical thinking, adapting assessment methods, and collaborating with legal professionals to maintain academic integrity.
The Environmental Footprint of AI: Navigating the Legal Landscape of Sustainable AI Development

The rapid growth of AI technology holds the potential to revolutionize industries and tackle environmental challenges. However, its development comes with environmental costs. Three recent articles shed light on the environmental impacts of AI and the legal considerations involved. It’s clear that legal frameworks and comprehensive assessments are crucial for ensuring sustainable AI development and…
Balancing the Scales: Ensuring Equity in AI-Driven Legal Systems

AI is transforming the legal system, posing risks of bias and privacy violations. While AI can enhance legal research, its use in decision-making requires caution. Transparency, fairness, diverse teams, and ongoing monitoring are key in mitigating bias and protecting privacy. Collaboration is crucial in developing ethical guidelines for AI integration.
AI in Legal Education: Bridging the Gap and Empowering Law Students

Law students often struggle to keep up with the overwhelming workload of reading countless cases and understanding complex legal principles. Traditional teaching methods may not suit every student, but AI platforms now offer personalized learning experiences and enhanced access to legal information. These AI tools can bridge the gap and empower all law students to…
From LSAT to Legal AI: My Journey to Law School and Beyond

Alyssa, a 1L at the Benjamin N. Cardozo School of Law, shares her journey in “The No BS A.I. Law Blog.” Despite initial reservations about AI, she explores its use in legal studies, aiming to demystify AI and its ethical implications. Through candid, practical discussions, she seeks to empower others to responsibly embrace AI in…