My partner and I became finalists in the 2025 Judge Thomas Tang and Dr. Pearl Tang Moot Court Competition, hosted by the NAPABA Law Foundation in New York City. We represented St. Mary's University School of Law and advanced to the National Championship in Denver, where we advocated on complex issues involving AI and copyright.
I attended this podcast as a guest to discuss the implications of AI on younger generations. The podcast examines how generative AI is impacting younger generations and how they can leverage it effectively.
You can listen to the podcast here, https://open.spotify.com/episode/72uIMuUSwRfEp6O5Bb25jd?si=E7xmLNbHQCmf54xCe1LaxA&nd=1&dlsi=652d8211d2504864.
I moderate a panel on "Alternative Dispute Resolution in IP Conflicts: Mediation and Arbitration" at the State Bar of Texas Intellectual Property Litigation course.
Alongside experienced panelists Andrew Lehrman (ALBM Law Firm) and Robert McRae (Gunn, Lee & Cave, P.C.), we explored effective strategies for resolving intellectual property disputes outside traditional litigation. The discussion covered key considerations for IP practitioners when approaching mediation, ethical considerations, and how ADR can provide efficient and creative solutions to complex IP conflicts.
I co-presented at the William S. Sessions American Inn of Court, held at the Quarry Golf Club in San Antonio. Our presentation explored how generative AI tools like ChatGPT and Claude can transform legal practice by analyzing large case files, facilitating brainstorming sessions, and helping attorneys prepare comprehensive question sets for witnesses and parties. It was a great opportunity to showcase practical applications of this emerging technology in the legal profession.
My partner and I presented an immigration law firm concept, which goes over the business model and industry dynamics of operating and owning a law firm in the United States. The project was a part of our Law Practice Management class.
Here is the link to the full 10-minute presentation, https://drive.google.com/file/d/1oT6l1t_2yPfLsqDrc53Q0gdqx5nZEIEz/view?usp=sharing.
The list below contains some of my favorite blogs, articles, and research papers written by various authors that I have found particularly interesting. I take no credit for any of the work listed below, other than just finding it interesting and informative.
How to Read Legal Opinion by Orin S. Kerr
Link: https://www.greenbag.org/v11n1/v11n1_kerr.pdf.
As a new law student, I found this paper extremely helpful in reading and analyzing legal opinions.
YouTube, Lex Fridman - DeepSeek, China, OpenAI, NVIDIA, xAI, TSMC, Stargate, and AI Megaclusters
Link: https://www.youtube.com/watch?v=_1f-o0nqpEI.
I think that with the release of Deepseek and other LLMs, this podcast delves deep into their implications, as well as the differences between Deepseek V3, R1, Gork, and other models. How each LLM handles privacy, and what role open weights play in protecting input data. The podcast does a good job of making sure even non-technical people can understand the concepts and follow through.
DeepSeek has also produced its technical report for V3, which can be found here: https://arxiv.org/pdf/2412.19437. To understand open weights, restricted weights, and open source, https://promptengineering.org/llm-open-source-vs-open-weights-vs-restricted-weights/.
Stanford CS230 | Lecture 7: Agents, Prompts, and RAG