As automation and technology become more integrated into the legal sector, processes become more efficient and give more time to accomplish other objectives. With a good grasp of these emerging technologies, the legal sector becomes a better workplace through innovation with workflow automation.
This module delves into Artificial Intelligence (AI) and Data in the legal industry. Participants will understand what is currently happening within this space and how AI and data can be utilised most efficiently within the legal sector.
This module is part of the Advanced Certificate in Law and Technology.
LEARNING OBJECTIVES
- Distinguish between different types of “AI” (decision trees, neural networks, etc.)
- Understand how applied data science and AI is transforming the practice of law
- Formulate strategies to incorporate AI into law practices
- Understand the difference between narrow and general AI
- Identify the advantages and weaknesses of AI, i.e., what AI cannot be used for
- Analyse whether AI is suitable for a given use case
- Understand current applications of AI in LegalTech
WHO SHOULD ATTEND
- Practicing lawyers and Legal Services Officers
- Paralegals
- Allied Legal Professionals (e.g. Legal Technologists)
PREREQUISITE
- A Bachelor's Degree; or
- A Diploma with at least 3 years of working experience
ASSESSMENT
As part of the requirement for SkillsFuture Singapore funding, there will be an assessment conducted at the end of the course.
CERTIFICATION
Upon meeting the minimum attendance requirement (>75%) and passing the assessment, participants will be awarded a digital Certificate of Participation after each module.
For a complete certificate, participants are required to take 7 out of the 10 modules in accordance to the pathway of their choice. The pathways are created based on job profile and the module requirements for each pathway vary accordingly.
- Innovator
For those looking to transform their practice
Modules 1, 2, 4, 7, and any three remaining modules
- Researcher
For those interested in frontier issues in technology law
Modules 1, 5, 6, 7, and any three remaining modules
- Practitioner
For those looking to update themselves on growing areas of practice
Modules 1, 7, 8, 9, and any three remaining modules
The modules offered under each pathway are organised into the following categories to better facilitate participants’ selection of modules and learning.
- Foundation Knowledge
- Legal Technology
- Technology Law
- Impact of Technology on Law
The exact combination will depend on the chosen learning pathway of each individual participant. After selecting their pathway, participants may then choose any other 3 modules for their electives.
Participants without legal training are required to take Module 1, in addition to the 3 core and 3 elective modules, in order to qualify for the full certificate. Module 1 is NOT recommended for those with legal training as it covers basic legal concepts.
SPEAKER
Jerrold is an Assistant Professor of Law at Yong Pung How School of Law who focuses on both the legal implications and applications of AI. Relevant works include machine learning systems for classifying judgment topics, an analysis of tortious control doctrines for assigning automated vehicle liability, empirical analyses of the development of Singapore law, and a research collection on the state of legal innovation in the Asia-Pacific region.
Jerrold programmed his first website, a notes sharing portal he still runs, in 2012. He graduated in 2018 from NUS with first class honours in both Law and Economics and recently completed an LLM at Harvard.
