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        <article-title>Proceedings of the Third International Workshop on AI and Intelligent Assistance for Legal Professionals in the Digital Workplace</article-title>
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      <pub-date>
        <year>2023</year>
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      <abstract>
        <p>The Third International Workshop on AI and Intelligent Assistance for Legal Professionals in the Digital Workplace (LegalAIIA_2023) will be held online on June 19, 2023, in conjunction with the 19th International Conference on Artificial Intelligence and Law (ICAIL 2023). Panel Topic “The Future of AI &amp; Law and the Impact of Generative AI” Moderator • Jack Conrad, Thomson Reuters o Director of Applied Research with TR Labs. Has over 25 years of industrial experience performing R&amp;D with AI, IR, NLP and machine learning applications in the legal domain. Past President of IAAIL.org.</p>
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      <title>Panel Duration 1 hour</title>
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•</p>
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      <title>Moderated session: 45 minutes</title>
      <p>Audience Q&amp;A: 15 minutes
Seminal Question Areas
1. Training topics (data restrictions, date restrictions, training bias, hallucinations …)
2. Application topics in the legal domain (contracts, briefs, cases, reg. compliance, forensics …)
3. Regulatory topics (The role of governments, GDPR, CCPA, …)
4. Ethical topics (Measuring, reporting on bias, handling risks in principled ways, …)
5. Explainability topics (provenance, admitting lack of adequate training, …)
6. Interdisciplinary topics (collaboration between legal and AI experts, …)
Illustrative Questions
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?</p>
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