Vol-2484
urn:nbn:de:0074-2484-8

Copyright © 2019 for the individual papers by the papers' authors. Copyright © 2019 for the volume as a collection by its editors. This volume and its papers are published under the Creative Commons License Attribution 4.0 International (CC BY 4.0).

LegalAIIA 2019
AI and Intelligent Assistance for Legal Professionals in the Digital Workplace

Proceedings of the First International Workshop on AI and Intelligent Assistance for Legal Professionals in the Digital Workplace (LegalAIIA 2019)
co-located with the 17th International Conference on Artificial Intelligence and Law (ICAIL 2019)

Montreal, QC, Canada, June 17, 2019.

Edited by

Jack G. Conrad, Thomson Reuters, USA
Jeremy Pickens, OpenText, USA
Amanda Jones, H5, USA
Jason R. Baron, Drinker, Biddle and Reath LLP, USA
Hans Henseler, Magnet Forensics, Netherlands

Table of Contents

First International Workshop on AI and Intelligent Assistance for Legal Professionals in the Digital Workplace (LegalAIIA 2019) 1
Jack G. Conrad, Jeremy Pickens

Session 1: Keynote Presentations

Principles for the Trustworthy Adoption of AI in Legal Systems: the IEEE Global Initiative on Ethics of Autonomous and Intelligent Systems 2-5
Nicolas Economou, H5
Revolutionizing the Practice of Law Through Data Science: Use Case and Applications 6
Bennett B. Borden, DBR LLP

Session 2: Ideation Papers

An Approach to Human Machine Teaming in Legal Investigations Using Anchored Narrative Visualisation and Machine Learning 7-11
Simon Attfield, Bob Fields, David Windridge, Kai Xu
Utilizing AI in the Legal Assistance Sector 12-18
Andrew Mowbray, Philip Chung, Graham Greenleaf
Distilling Jurisprudence through Argument Mining for Case Assessment 19-22
Rachel Rietveld, Julien Rossi, Evangelos Kanoulas

Session 3: Research Papers

Evaluation of Seed Set Selection Approaches and Active Learning Strategies in Predictive Coding 23-31
Christian J. Mahoney, Nathaniel Huber-Fliflet, Haozhen Zhao, Jianping Zhang, Peter Gronvall, Shi Ye
Technology Assisted Analysis of Timeline and Connections in Digital Forensic Investigations 32-37
Hans Henseler, Jessica Hyde
Pre-trained Contextual Embeddings for Litigation Code Classification 38-45
Max Bartolo, Kamil Tylinski, Alastair Moore

2019-11-29: submitted by Jeremy Pickens, metadata incl. bibliographic data published under Creative Commons CC0
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