The Third Annual Workshop on Applications of Artificial Intelligence in the Legal Industry
LegalAI 2019
- URL: https://ankura.com/events/the-third-annual-workshop-on-applications-of-artificial-intelligence-in-the-legal-industry/
- Event Date: 2019-12-09 ~ 2019-12-09
- Submission Date: 2019-10-07
The Third Annual Workshop on Applications of Artificial Intelligence in the Legal Industry
December 9, 2019
Westin Bonaventure Hotel & Suites, Los Angeles, 404 S Figueroa St, Los Angeles, CA 90071
Collocated with 2019 IEEE International Conference on Big Data (IEEE Big Data 2019) http://bigdataieee.org/BigData2019/
Over the past decade, exponential growth of data in the legal industry has created a significant business challenge. Legal professionals often are 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 generally 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, in particular natural language processing and machine learning, have been increasingly embraced by the legal industry to efficiently process and analyze large volume complex legal data, to 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. From automatic contracts drafting to intelligent legal robots, from judicial analytics to predictive coding, from case management to litigation outcome prediction, AI and big data analytics begin to be leveraged in reinventing the legal industry. 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 of the emerging technologies.
With both the challenges and opportunities brought by the applications of AI on legal big data, we identify there is a gap between the legal industry and academics working with AI applications in big data. Continuing the success of our workshop in previous years, we organize this workshop to bridge that gap, to further AI and big data analytics research applied to legal data, and to provide an open and thoughtful dialogue about how these analytics could be leveraged to assist legal practitioners. Additionally, this 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. This workshop will accept broad applications of AI to legal industry challenges or legal industry data.
Submissions are invited on these research topics, including but not limited to:
- 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
- Regulatory issues related to AI applications
Important dates
Oct 7, 2019: Due date for workshop papers submission
Nov 1, 2019: Notification of paper acceptance to authors
Nov 15, 2019: Camera-ready of accepted papers
Dec 9, 2019: Workshop
Paper submission instructions:
Full papers — up to 10 pages IEEE 2-column format — should be submitted via the conference workshop online submission system https://wi-lab.com/cyberchair/2019/bigdata19/scripts/submit.php?subarea=S20. We also encourage 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). The submission deadline is Oct. 7, 2019. 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
December 9, 2019
Westin Bonaventure Hotel & Suites, Los Angeles, 404 S Figueroa St, Los Angeles, CA 90071
Collocated with 2019 IEEE International Conference on Big Data (IEEE Big Data 2019) http://bigdataieee.org/BigData2019/
Over the past decade, exponential growth of data in the legal industry has created a significant business challenge. Legal professionals often are 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 generally 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, in particular natural language processing and machine learning, have been increasingly embraced by the legal industry to efficiently process and analyze large volume complex legal data, to 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. From automatic contracts drafting to intelligent legal robots, from judicial analytics to predictive coding, from case management to litigation outcome prediction, AI and big data analytics begin to be leveraged in reinventing the legal industry. 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 of the emerging technologies.
With both the challenges and opportunities brought by the applications of AI on legal big data, we identify there is a gap between the legal industry and academics working with AI applications in big data. Continuing the success of our workshop in previous years, we organize this workshop to bridge that gap, to further AI and big data analytics research applied to legal data, and to provide an open and thoughtful dialogue about how these analytics could be leveraged to assist legal practitioners. Additionally, this 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. This workshop will accept broad applications of AI to legal industry challenges or legal industry data.
Submissions are invited on these research topics, including but not limited to:
- 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
- Regulatory issues related to AI applications
Important dates
Oct 7, 2019: Due date for workshop papers submission
Nov 1, 2019: Notification of paper acceptance to authors
Nov 15, 2019: Camera-ready of accepted papers
Dec 9, 2019: Workshop
Paper submission instructions:
Full papers — up to 10 pages IEEE 2-column format — should be submitted via the conference workshop online submission system https://wi-lab.com/cyberchair/2019/bigdata19/scripts/submit.php?subarea=S20. We also encourage 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). The submission deadline is Oct. 7, 2019. 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
Journal Promotion
|
| Acta Koreana (Acta Koreana) |
|
| Acta Via Serica (AVS) |
|
| Computers and Concrete (CAC) |
|
| Journal of Information Processing Systems (JIPS) |
|
| Journal of Internet Computing and Services (KSII - JICS) |
|
| Journal of Smart Tourism (Smart Tourism) |
|
| Membrane and Water Treatment (MWT) |
|
| Wind and Structures, An International Journal (Wind and Structures) |
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