The 8th Annual Workshop on Applications of Artificial Intelligence in the Legal Industry

Data Challenges and the Rise of AI in the Legal Industry

The legal industry faces significant challenges due to the rapid growth of data, leading to more complex legal cases and the need for more efficient information processing. Legal professionals are increasingly relying on artificial intelligence (AI) technology to manage the overwhelming volume of data in legal cases as hundreds of thousands of docket cases are brought to United States courts each year and typical antitrust investigations involve terabytes of data that must be processed and analyzed to derive new insights, make better judgments, and develop effective strategies in legal cases.

AI technologies, such as natural language processing, machine learning, and generative AI are being adopted to process and analyze complex legal data more efficiently, helping to reduce costs and improve turnaround times. These advancements in AI and generative AI, like ChatGPT, are revolutionizing the industry through automated contract drafting, intelligent legal assistance, predictive coding, judicial analytics, litigation outcome prediction and more offering significant advancements in legal service delivery.

However, the integration of AI in the legal field also raises concerns about transparency and ethics, prompting regulatory actions designed to balance innovation while mitigating unintended social consequences and harnessing the competitive advantages these technologies deliver.

Fostering Research and Open Dialogue: Workshop Goals and Objectives

Building on the success of previous years, this workshop aims to address the gap between practitioners and technology and promote the adoption of AI technology in big data legal analytics through open dialogue on leveraging these technologies to enhance legal practice while considering ethical and regulatory implications. We facilitate further research into AI and big data analytics applied to legal data, with particular interest in exploring novel and interesting cases in this area.

Key Objectives:

• Bridge the gap between practitioners and technology
• Promote the use of AI in big data analytics in the legal field
• Facilitate open and thoughtful dialogue on how these platforms can assist legal practitioners
• Provide a platform for legal professionals, academics, and AI experts to share their insights and experiences, and examine the intersection of law and AI

By the end of this workshop, our goal is to help expand and enhance applications of AI in big data analytics within the legal industry.

Who Should Attend?

This workshop is intended to provide a platform for legal professionals, academics, and AI experts to share their insights and experiences, and to examine the intersection of law and AI. We hope that this workshop will help to expand and enhance the applications of AI in big data analytics within the legal industry.

2024 Research Topics:

• Natural language processing and understanding in the legal industry
• Intelligent legal information retrieval
• Legal text summarization, extraction, and classification
• Knowledge graphs and automatic reasoning in the legal domain
• Speech and image recognition applications in the legal industry
• Machine translation of legal text
• Intelligent advisory and automatic question-answering in the legal industry
• Explainable AI for the legal and compliance industries
• Generative AI applications in the legal industry
• Deep learning applications in the legal industry
• Responsible AI
• Privacy issues related to AI applications
• Applications of AI to electronic discovery
• Applications of AI to contract automation and management
• Applications of AI to litigation support and outcome prediction
• Ethical and regulatory considerations in the use of AI in the legal industry

 Important Dates to Note:

• Oct 31, 2024: Due date for workshop papers submission
• Nov 10, 2024: Notification of paper acceptance to authors
• Nov 23, 2024: Camera-ready of accepted papers
• Dec 16, 2024: Workshop (In-person & virtual)

How to Submit Papers:

Full papers (up to 10 pages): 

Please submit papers all via the online submission portal.  

• Submission Deadline: October 31, 2024

We also encourage the submission of shorter papers (up to six pages) reporting works in progress. All accepted papers will be included in the conference proceedings and published in the IEEE Xplore Digital Library.

Organization Committee:

Peter Gronvall – Ankura

Nathaniel Huber-Fliflet (Co-chair) – Ankura

Robert Keeling – Redgrave LLP

Christian Mahoney – Cleary Gottlieb Steen & Hamilton LLP

Jianping Zhang (Co-chair) – Ankura

Program Committee Chairs:

Adam Dabrowski – Ankura

Han Qin – Ankura

Jingchao Yang – Director, Bright Labs Services, Ankura