Generative AI and In-House Lawyering
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About
This Course
Ethical and professional duties for attorneys require them to “stay abreast of changes in the law and its practice, including the benefits and risks associated with relevant technology.” This program will advance the education and awareness of how generative AI can, will, and should transform the legal landscape and the day-to-day practice as lawyers. This program offers snapshots of innovative uses of AI in legal problem-solving, ethical considerations, and practical strategies for incorporating AI responsibly into daily workflows.
Attendees will learn about creative and innovative developments in the use of generative AI within the legal field, including AI-assisted interpretation of language and contracts. The speakers will explore case studies highlighting both successful and flawed applications of AI by attorneys, gaining a nuanced understanding of the ethical and professional implications. In-house lawyers will discover how AI can enhance contract management, regulatory tracking, internal communications, reporting, and people management. The program will equip attorneys with practical takeaways and protocols to effectively and integrate AI into daily practice.
This course is suitable for a wide range of attorneys in any field who are interested in exploring the avenues AI has to offer.
Learning Objectives:
- Explore how AI can assist in predicting ambiguities in contract interpretation so legal drafters can avoid conflict in contract administration and enforcement
- Assess how AI might assist in interpretation of language in legal drafting
- Evaluate potential pitfalls in deploying AI in legal research and writing, and how to establish workflow protocols to prevent AI mishaps
- Predict how Gen AI tools might be deployed by in-house legal departments for advising clients and managing the department’s work
- Analyze how to mitigate risks of using Gen AI tools and to ensure that those tools improve, rather drag upon, productivity
Production Date: 10/29/2024 | Closed captioning (CC) available
About the Presenters
Heidi Brown, Esq.
New York Law School
Practice Area: Legal Research & Writing (+ 1 other areas)
Professor Heidi K. Brown is a graduate of the University of Virginia School of Law, Associate Dean for Upper Level Writing at New York Law School, and a former litigator in the construction industry. In 2023, New York Law School appointed Heidi to develop a new and best-in-class center for Thinking, Researching, and Writing and invigorate the institution’s upper-level writing curriculum.Engaging in her passion for innovative pedagogy, Heidi has designed three new courses integrating legal writing skills and Generative AI tools. Heidi is the author of a three-volume legal writing book series entitled The Mindful Legal Writer. She also has ...
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Michael Pastor, Esq.
New York Law School
Practice Area: Science & Technology (+ 1 other areas)
Michael Pastor is the Director of the James Tricarico Jr. Institute for the Business of Law and In-House Counsel and Co-Director of the Innovation Center for Law and Technology at New York Law School. He is also a Professor from Practice at the school and faculty advisor to the Latino Law Students Association, the Privacy Law Association, and the Employment and Labor Law Students Association.Pastor previously served as the General Counsel of the New York City Department of Information Technology and Telecommunications (“DoITT”) and the New York City Cyber Command. In those roles, he handled and oversaw all technology law ...
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Christina Segro, Esq.
Paige.AI
Practice Area: Science & Technology (+ 1 other areas)
Christina Segro joined Paige in 2020, prior to Paige, Christina counseled life science companies at Brown Rudnick in NY, served as General Counsel at Celmatix, an innovative NY-based women’s health biotech focused on the underlying causes of infertility through AI and genetic testing, and served as IP Counsel at Genesis Biotechnology a consortium of vertically integrated companies in the fields of drug discovery, medical devices, and clinical diagnostics.Paige is an innovative healthcare AI company, built on the largest datasets globally, are already transforming pathology and making generative AI accessible to doctors. Paige’s generative AI is now positioned to unlock the ...
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