EDRM Webinar, London: Are Large Language Models Like GPT Secure?
A Look at the Technology and the Law
The legal industry is increasingly thinking about using AI and Large Language Models (LLMs) like GPT for document review, legal research, and even writing legal briefs. Yet, in our discussions, legal professionals regularly express concern about LLM security.
In this webinar, we discussed the following questions. Take a look at the recorded video above to hear more.
- Do we risk a waiver of attorney-client or work-product privileges by sending our data to OpenAI?
- What if that data includes confidential client information?
- Can LLMs learn from and share the information I send?
- How do large language model providers like Microsoft assure data security and confidentiality?
- What is the law governing these questions and how will it be applied?
Check out our article, “Are LLMs Like GPT Secure? Or Do I Risk Waiving Attorney-Client or Work-Product Privileges?”, that inspired this webinar.
Download a PDF of the slides here.
Praise for our Speakers
“John Tredennick and his Merlin team are taking ediscovery to new levels—not just with a revolutionary AI-powered search and discovery platform but also through Cloud Utility Pricing.”
Mary Mack, CEO and Chief Legal Technologist, EDRM Global
“John Tredennick and William Webber at Merlin Search are openly sharing their impressive progress into the use of generative AI (GPT and Claude), in both practical applications for ediscovery, as well as thoughtful articles and opinion pieces on generative AI and the how it can be used to supercharge the litigation process.”
Matthew Golab (Sydney AU) Advisory Board, International Council, Information Governance ANZ
Andrew King (Auckland NZ) Founder & Strategic Advisor E-Discovery Consulting Auckland NZ
Our presenters are two leading experts on harnessing Generative AI for litigation and government investigations. Together with the Merlin team, they are the creators of DiscoveryPartner, the most advanced GenAI investigations and discovery platform available.
John Tredennick (JT@Merlin.Tech) is the CEO and founder of Merlin Search Technologies, a software company leveraging generative AI and cloud technologies to make investigation and discovery workflow faster, easier and less expensive. Prior to founding Merlin, Tredennick had a distinguished career as a trial lawyer and litigation partner at a national law firm.
With his expertise in legal technology, he founded Catalyst in 2000, an international ediscovery technology company that was acquired in 2019 by a large public company. Tredennick regularly speaks and writes on legal technology and AI topics, and has authored eight books and dozens of articles. He has also served as Chair of the ABA’s Law Practice Management Section.
Dr. William Webber is the Chief Data Scientist of Merlin Search Technologies. He completed his PhD in Measurement in Information Retrieval Evaluation at the University of Melbourne under Professors Alistair Moffat and Justin Zobel, and his post-doctoral research at the E-Discovery Lab of the University of Maryland under Professor Doug Oard.
With over 30 peer-reviewed scientific publications in the areas of information retrieval, statistical evaluation, and machine learning, he is a world expert in AI and statistical measurement for information retrieval and ediscovery. He has almost a decade of industry experience as a consulting data scientist to ediscovery software vendors, service providers, and law firms.
Mary Mack is the the CEO and Chief Legal Technologist of the EDRM [Electronic
Discovery Reference Model]. She has more than two decades of strong credibility and global leadership within the e-discovery community and is known for her relationship and community building skills and for the depth of her technical and e-discovery knowledge.
Her clients have included DOJ, FTC, Fortune 100, and most of the AmLaw 100. She previously served as Enterprise Technology Counsel for ZyLAB and Corporate Technology Counsel for Fios.
She is frequently sought out to share her expertise via global conferences and by media for commentary on industry issues. Mary has spoken at venues including Gartner Symposium, the American Bar Association International Law Committee, Relativity Fest, Tokyo Summit, Legaltech NYC, and many others.
She is the author of what is considered the first book on e-discovery, “A Process of Illumination: The Practical Guide to Electronic Discovery”; She was the co-editor of “eDiscovery for Corporate Counsel” (Thomas Reuters) for nearly a decade.
Thomas Leyland is a partner in Denton’s London Disputes practice. He has particular expertise in high-value, high-profile High Court disputes across a broad range of industries. Thomas has particular expertise acting for banks and other financial services institutions.
Thomas also has significant experience of legal process outsourcing and has coordinated major, cross-border, document review exercises. As such, he also has a particular interest in electronic disclosure and the outsourcing of document review. He has spoken at national events on these topics.
Thomas is a member of the highly regarded Commercial Litigation team that was commended for Commercial Litigation Team of the Year by Legal Business Awards 2018.
Thomas Leyland, Partner, Dentons
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Take a look at our research and generative AI platform integration work on our GenAI page.
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