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LegalAI 2020 : The Fourth Annual Workshop on Applications of Artificial Intelligence in the Legal Industry


When Dec 10, 2020 - Dec 13, 2020
Where Virtual
Submission Deadline Oct 16, 2020
Notification Due Nov 1, 2020
Final Version Due Nov 15, 2020
Categories    artificial intelligence   big data   law   legal

Call For Papers

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

WHEN December 10, 2020 - December 13, 2020
WHERE Virtual

Collocated with 2020 IEEE International Conference on Big Data (IEEE Big Data 2020)

Over the past decade, exponential growth of data in the legal industry has created a significant business challenge. Legal professionals are often overwhelmed by big data in cases: for example, every year docket data of over 350,000 cases are brought to courts in the United States and typical antitrust investigation cases involve reviewing and producing terabytes of data. This voluminous data must be processed and analyzed to derive new insights, better judgments, and effective strategies in legal cases. Artificial intelligence (AI) technologies, particularly natural language processing and machine learning, have been increasingly embraced by the legal industry to efficiently process and analyze large volume complex legal data and deliver legal services at reasonable costs and satisfactory speed.

AI technologies and breakthroughs in machine learning and other AI areas and their applications to natural language processing, speech and image processing, and making sense of large volume of data are reshaping all aspects of the legal industry. AI and big data analytics are reinventing the legal industry, from automatic contracts drafting to intelligent legal robots, judicial analytics to predictive coding, and case management to litigation outcome prediction. Meanwhile, transparency and ethical concerns over applications of AI in the legal industry bring up regulatory issues on mitigating unintended social consequences while reaping competitive advantages and economic gains from the emerging technologies.

Continuing to build on the success of our workshop in previous years, the workshop is designed to bridge that gap between the legal industry and academics working with AI applications in big data, further AI and big data analytics research applied to legal data, and provide an open and thoughtful dialogue about how these analytics can be leveraged to assist legal practitioners. The workshop is intended to promote the applications of AI in big data analytics in the legal industry and we are looking for interesting and novel cases. The workshop will accept broad applications of AI to legal industry challenges or legal industry data.

Research topics included in the workshop:
- Applications of AI to electronic discovery
- Applications of AI to contract automation and management
- Applications of AI to litigation support and outcome prediction
- 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 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
- Deep learning applications in the legal industry
- Privacy issues related to AI applications

Important dates
- Oct 16, 2020: Due date for workshop papers submission
- Nov 1, 2020: Notification of paper acceptance to authors
- Nov 15, 2020: Camera-ready of accepted papers
- Dec 10-13, 2020: Workshops

Paper submission instructions:
Full papers, up to 10 pages in IEEE 2-column format, should be submitted via the conference workshop online submission system ( ). We also encourage the submission of short papers, up to 6 pages, reporting works in progress. Papers should be formatted to IEEE Computer Society Proceedings Manuscript Formatting Guidelines (more instructions and templates can be downloaded from the conference website). All accepted papers will be included in the conference proceedings and published by the IEEE Xplore Digital Library (covered by the Engineering Index).

Organization Committee:
- Rishi Chhatwal – AT&T Services
- Peter Gronvall – Ankura
- Nathaniel Huber-Fliflet (Co-chair) – Ankura
- Robert Keeling – Sidley Austin LLP
- Christian Mahoney – Cleary Gottlieb Steen & Hamilton LLP
- Jianping Zhang (Co-chair) – Ankura

Program Committee:
- Arthur Carvalho – Assistant Professor, Miami University
- Ali Hadjarian – Principal, PwC
- Jiepu Jiang – Assistant Professor, Virginia Tech
- Vikram Kapoor – Senior Managing Director, Ankura
- David Lewis – Chief Data Scientist, Brainspace
- Hongfei Lin – Professor, Dalian University of Technology
- Huan Liu – Professor, Arizona State University
- Yue Pan – Senior Partner, Dezhi LLP
- Jeremy Pickens – Principal Data Scientist, OpenText
- Haozhen Zhao (Chair) – Senior Director, Ankura

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