Bar-Ilan law faculty is looking for an instructor to teach a new course on NLP for legal-tech in an MA program in legal studies which is directed to computer science and engineering graduates:
- Ph.D. in computer science or related field ·
- Strong NLP background
- Ability to co-op with lectures from Bar-Ilan law faculty that will provide background on legal tech and how it is embedded in legal practice and user needs
- Ability to co-op (and to initiate contact) with people from the legal tech industry.
- Law people – customer perspective/needs, people who experienced legal tech
- Legal-tech people – use cases from the industry
This is a new NLP course that will provide students the basic theoretical foundation of NLP techniques along with practical NLP usage in the legaltech context. Emphasis will be on hands-on exercises and examples drawing on legal texts (eg, statutes, case law).
Hebrew is highly desired – at least for some of the exercises.
Possible topics/examples to be included:
- Classify/cluster similar judges
- Extract citations
- Classify patents to domains
- Terms and conditions
- Application of deep learning solutions
- How AI + NLP models can deal with legal dilemmas
Course should be planned for 13 weeks * 2 hours;
Will be given in Spring 2020.
Prof Oren Perez: email@example.com, Dean of the Faculty of Law at Bar-Ilan University
Dr. Oren Glickman: firstname.lastname@example.org. The Data Science Institute at Bar Ilan University.