The Other Recent Infringement Lawsuit Judgment Over Ed Sheeran's 'Thinking Out Loud'
June 01, 2023
The lion's share of attention to copyright-infringement claims against Ed Sheeran over his 2016 Grammy-winning Song of the Year "Thinking Out Loud" recently focused on the trial in New York federal court. But in September 2022, a related infringement suit over the same songs' matching chord progression and harmonic rhythm was allowed to proceed.
Current Landscape of NIL Contracts Under NCAA Policy
June 01, 2023
As we wait to see if Congress does indeed adopt a preemptive federal standard on NIL, the question becomes: What do business owners, interested investors and attorneys need to know prior to signing a college athlete to a NIL contract under the current landscape?
IP Experts Discuss AI Art Copyright Litigation
June 01, 2023
IP experts weigh in on a case involving AI-created images based on an original work. The outcome of the case may have a significant impact on AI development and generative art.
Plan to Protect Cybersecurity for Employees Before Day One
June 01, 2023
With new employees come new risks; from aspiring insider threats that intend to join a target to extract sensitive information, to insecure processes being exploited due to too much trust being placed in candidates and new hires.
AI Considerations for In-House Counsel
June 01, 2023
Having an AI policy that outlines acceptable use, and documenting assessments that establish that AI systems are used in a manner consistent with the policy and that the benefits outweigh potential harms, can go a long way in managing legal and reputational risk.
4 Pitfalls To Avoid In Legal Operations (and How to Deal With Them)
June 01, 2023
For legal stakeholders seeking to take their existing legal operations programs to the next level or start new programs from scratch, there are a few all-too-easy traps that can stunt growth, cost political capital and cause headaches. Having a strategic plan, budget and critical executive buy-in is not enough to avoid these four common issues.
How to Implement Generative AI at Your Organization
June 01, 2023
AI language models are trained on massive amounts of data to function and improve. The more data the model is trained on, the better it gets at detecting patterns, anticipating what comes next, and producing realistic text. Right now, however, there are few controls in place to stop these models from scraping personal and private information from people and business.
