PANEL DISCUSSION

Panel of Experts

Panel Topic:  The Future of AI & Law and the Impact of Generative AI

Moderator:

• Jack Conrad (Thomson Reuters)

  • Director of Applied Research with TR Labs. Has over 25 years of industrial experience performing R&D with AI, IR, NLP and machine learning applications in the legal domain.  Past President of the International Association for AI and Law (IAAIL.org).

Panel Members:

• Pablo Arredondo (Casetext)

  • Co-Founder and Chief Innovation Officer at Casetext. Fellow at Stanford Center for Legal Informatics. Oversees the development of AI tools that assist lawyers.  Focuses on enabling firms to provide high-quality representation to more clients, to improve efficiency and accuracy, and ultimately to gain a competitive advantage.

• Uwais Iqbal (Simplexico)

  • Founder of Simplexico, a “white-glove legal services provider” based in London. For more than 5 years, has designed and developed AI, ML, and NLP solutions across leading tech start-ups and corporate innovation labs.

• Megan Ma (Stanford Law & CodeX)

  • Assistant Director of Legal Informatics (CodeX) and the Law, Science and Technology Program at Stanford University.  Focuses on computable law, artificial legal intelligence and its relationship under the frameworks of logic, aesthetic programming and linguistics.

• Laura Skylaki (Thomson Reuters)

  • Manager of Applied Research with TR Labs (Zurich region).  Has more than 10 years of experience developing AI/Machine Learning/Deep Learning solutions for legal and biological applications.  Has a keen interest in human-centric design, ethical AI and AI-driven transformation.

Panel Structure:

• This panel discussion will be 45 minutes long, followed by 15 minutes of Q&A.  Following the introduction the speakers, each of our four speakers will giving a 2-minute overview of their current perspective on the most challenging areas for AI & Law and that stemming from Generative AI in particular (10 minutes).  The panel moderator will then pose a series of formative questions to the panelists, depending on their areas of specialization, for which they will be given the opportunity to answer (35 minutes).  We will conclude the panel session with questions from audience (15 minutes).

Panel Background:

• Hype about Generative AI and Intelligence Augmentation shows no sign of slowing. Abundant examples illustrate how these technologies are transforming industries. What about the legal industry?  While Generative AI is revolutionizing the field, will this capability transform other aspects of legal services? This panel brings together industry experts to discuss how legal services organizations are making the most of data analytics, Artificial Intelligence, and Intelligent Assistance. Our panelists will discuss bridging the gap between strategy and implementing these technologies, the need for interdisciplinary teams, high-impact tools today, the challenges, and where they see these state-of-the-art technologies having the greatest impact in the near-term and in the long-term.

Illustrative Questions to be considered:

1. Given the rapid advancements in AI and its potential to automate certain legal tasks, what are the implications for the future of legal employment? How can we ensure a smooth transition for legal professionals while harnessing the benefits of AI? 

2. In light of the biases and limitations present in training data, how can we mitigate the risks of algorithmic bias in legal decision-making processes when using LLMs? What steps can be taken to ensure fairness and equity?

3. How can LLMs contribute to the development of predictive analytics in legal contexts, such as case outcome prediction or legal risk assessment? What are the potential challenges and limitations in this area?

4. What are the privacy and data protection concerns associated with the use of LLMs in legal practice? How can we strike a balance between the need for data access and protection of individuals' privacy rights?

5. How can LLMs be used to enhance access to justice and bridge the justice gap? Are there any specific legal domains or regions where the impact of LLMs can be particularly significant?

6. How can we ensure the explainability and interpretability of LLM-based legal systems to gain stakeholders' trust and enable effective decision-making? What methods and techniques can be employed to make LLMs more transparent?

7. What are the potential regulatory and policy considerations surrounding the use of LLMs in the legal domain? How can policymakers and legal practitioners collaborate to establish appropriate guidelines and frameworks?

8. How can collaboration between legal professionals and AI experts be fostered to maximize the benefits of LLMs in the field of law? What are the best practices for interdisciplinary collaboration between the two domains?