Features

AI and Law Practice: Challenges and Opportunities
As technology continues to advance at an unprecedented pace, legal practitioners are presented with both challenges and opportunities to harness the power of AI in their practices. This article lays out a general roadmap for success in modern legal firms through the strategic incorporation of AI technologies.
Features

How D.C. Fed. Court Denied Copyright to AI-Created Artwork
The U.S. District Court for the District of Columbia recently upheld a final refusal by the U.S. Copyright Office to register a visual work that was "autonomously created by a computer algorithm running on a machine," which the plaintiff called the Creativity Machine and identified as the "author" of the work.
Features

Federal District Court Denies Copyright to AI-Generated Art Piece
Recognizing that U.S. "copyright law protects only works of human creation," the court determined that the Copyright Office "acted properly in denying copyright registration for a work created absent any human involvement."
Features

Online Extra: AI Copyright — Ethical and Legal Considerations for Marketing and Sales
Standing still and waiting to take action wasn't easy, but the patience paid off. Now, I understand some of AI's limitations and ways to leverage it to propel marketing and sales activities.
Features

New U.S.-China Investment Dynamic Focuses On AI and Sensitive Technologies
An Executive Order released by the Biden Administration on Aug. 9 places increased importance on due diligence when investing in specific foreign countries. The Executive Order will regulate outbound investments in China with a focus on key technologies critical to safeguarding U.S. national security, including artificial intelligence.
Features

A Diverse Patent Portfolio Better Protects Artificial Intelligence Inventions
Takeaways from 'IBM v. Zillow' from a Patent Drafting Perspective Part Two of a Two-Part Article In Part One of this article we discussed the IBM v. Zillow case, where IBM sued Zillow for infringing on seven IBM's patents directed to artificial intelligence (AI) algorithms for estimating property value. The focus was on the difficulties in establishing patent infringement on specific AI algorithms, as well as the strategic advantages of including additional patent claims that target ancillary features of an AI system. In this segment, we analyze the claims made in the Zillow case and present some tips for drafting AI-related claims from the perspective of patent infringement.
Features

The Impact of the Supreme Court's Goldsmith Decision on Copyright Enforcement Against AI Tools
The U.S. Supreme Court's opinion in Andy Warhol Foundation for the Visual Arts, Inc. v. Goldsmith sent ripples through the legal and artistic communities. Months later, legal scholars and art journalists continue to debate whether the decision opens the door for federal courts to act as "art critics." Many, however, downplay how the Supreme Court's decision impacts the ways in which copyright owners may enforce their rights against generative AI tools.
Features

AI and Law Practice: A Roadmap for Success In Modern Legal Firms
This article lays out a general roadmap for success in modern legal firms through the strategic incorporation of AI technologies.
Features

Legal Marketers and Business Developers Are Bullish On AI
As buzz around artificial intelligence continues to grow, law firm leaders are by and large taking a cautious approach. But when it comes to the marketing and business side of the legal industry, leaders are bullish about the prospects of AI assisting their overworked teams, with many actively exploring possible applications, if not using them already.
Features

A Diverse Patent Portfolio Better Protects Artificial Intelligence Inventions
Takeaways from 'IBM v. Zillow' from A Patent Drafting Perspective Part One of a Two-Part Article This two-part article sheds light on several important aspects of patents on AI technology. In Part One, we provide a general overview of the IBM v. Zillow lawsuit and discuss strategies to diversify patent portfolios to maximize protection on AI-related technology.
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