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TechLaw.Fest 2019 Quick Chats: Jerrold Soh, Singapore Management University

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On 21st August 2019

In Artificial Intelligence, Automation, Interviews, Lawyers, Legal Innovation, Online Dispute Resolution, People

Reading time: 8 minutes

Interview by Nisha Rajoo and Andrew Wong | Edited by Josh Lee

TechLaw.Fest 2019 will take place from 5 to 6 September 2019 in Singapore, bringing together the movers and shakers in the space of law and technology. In these few weeks leading up to TechLaw.Fest, the LawTech.Asia team will be bringing you regular interviews and shout-outs covering prominent speakers and the topics they will be speaking at TechLaw.Fest.

This week, LawTech.Asia received the exclusive opportunity to interview Jerrold Soh, a Lecturer of Law in the Singapore Management University (“SMU”) School of Law. Jerrold is also a co-founder of Lex Quanta, a Singapore-based legal analytics startup, in which he leads data science research and development.

At TechLaw.Fest 2019, Jerrold will be speaking on a panel titled, “A Review of the State of Legal Innovation in the Asia Pacific”, which features leading thought leaders who will be discussing the State of Legal Innovation in the Asia Pacific (“SOLIA”) 2019 Report, for which Jerrold served as the Chief Editor.

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LawTech.Asia’s Response to Public Consultation on Model AI Governance Framework

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On 7th July 2019

In Artificial Intelligence, Law Firms, Legal Innovation, Policy, Regulations

Reading time: 2 minutes

On 23 January 2019, the Personal Data Protection Commission (i.e. the Info-comm Media Development Authority) (the “PDPC”) published its Model Artificial Intelligence Governance Framework (“Model Framework”). The PDPC also launched a public consultation to receive feedback on the Model Framework.

As an organisation committed to thought leadership in law and technology (with AI regulation a key area of focus), LawTech.Asia produced a response to the public consultation on 24 June 2019.

LawTech.Asia’s response comprised the following two sections:

  1. A framework tailored for the implementation of the Model Framework to the legal technology sectors. Tapping on LawTech.Asia’s familiarity with the legal and legal technology sectors, LawTech.Asia produced a customised framework tailored specifically for the implementation of the Model Framework to the legal technology industry. We hope that this customised framework may shed some light in allowing legal technology firms deploying AI to have greater guidance in aligning their practices with some of the implementation guidelines set out in the Model Framework.
  2. Comments and feedback on each specific section covered by the Model Framework. These sections are, namely: the overall principles set out in the Model Framework, internal governance measures, determination of the AI decision-making model, operations management, and customer relations management. Tying our comments together is the thread that the Model Framework could go further in elaborating on some of the guidelines that it had set out, as well as to set out more specifically the ends that the Model Framework is targeted at achieving.

Our response may be downloaded for reference here:

Response to Public Consultation for Proposed Model FrameworkDownload

In closing, we emphasise that the views set out within our response are wholly independent. They do not represent the views of any other organisation save for LawTech.Asia.

LawTech.Asia is also grateful to our partner and friend, Ms Shazade Jameson from the World Data Project, for her guidance and assistance in the preparation of our response.

The LawTech.Asia Team

Disruptive Legal Technologies – Is Ethics Catching Up?

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On 25th June 2019

In Access to Justice, Artificial Intelligence, Automation, Law Firms, Lawyers, Legal Innovation, Regulations

Reading time: 6 minutes

Written by Alvin Chen and Stella Chen (Law Society of Singapore)

Editor’s Note: This article was first published in the August 2018 issue of the Singapore Law Gazette, the official publication of the Law Society of Singapore. Reproduced with permission.

In December 2017, DeepMind, a leading AI company, sent ripples through the AI world when it announced that it had developed a computer program (known as “AlphaGoZero” or “AlphaZero”) which learned the rules of three games – chess, Shogi and Go – from scratch and defeated a world-champion computer program in each game within 24 hours of self-learning.1 What was remarkable about DeepMind’s achievement was the program’s “tabula rasa” or clean slate approach which did not refer to any games played by human players or other “domain knowledge”.2 Yet, DeepMind’s program was able to develop an unconventional and some say, uncanny,3 methodology in surpassing current computer understanding of how to play the three games.

Referring to an earlier version of DeepMind’s program (“AlphaGo”) which defeated the (human) world champion in Go in 2016, the legal futurist Richard Susskind considers such innovative technologies to be “disruptive”. In his international bestseller Tomorrow’s Lawyers: An Introduction to Your Future (“Tomorrow’s Lawyers“), Susskind defined “disruptive” as something that would “fundamentally challenge and change conventional habits”.4

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E-Discovery: Artificial Intelligence & Predictive Coding – Discovering the Way Forward

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On 7th June 2019

In Artificial Intelligence, Automation, E-Discovery, Law Firms, Lawyers, Legal Innovation

Reading time: 5 minutes

Written by Emily Tan | Edited by Jennifer Lim Wei Zhen, Josh Lee, Maryam Salehijam (Resolve Disputes Online)

Introduction

Cases turn on their facts. Lawyers depend on both the law and the specific circumstances of their client’s case to make a convincing argument for their client. This makes the discovery process, where the available information is sifted through to identify relevant evidence, a crucial step in any case.  

However, discovery is by its nature a slow and laborious process. Countless hours are spent digging through documents, emails and other such sources, searching for the key factors which may make or break a case. This “time-drain” has been exacerbated by the digitalisation of work, which has exponentially increased the volume of documents that lawyers have to analyse. In addition, it is typically the junior lawyers who are delegated to do the discovery task — which explains the television stereotype of young lawyers poring over cartons and cartons of documents late into the night. 

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LawTech.Asia Quick Chats – Associate Professor Goh Yihan, Dean, SMU School of Law

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On 10th April 2019

In Artificial Intelligence, Interviews, Law Firms, Lawyers, Legal Innovation, People

Reading time: 5 minutes

Interview by Josh Lee & Wan Ding Yao | Edited by Amelia Chew

In June 2018, the Singapore Management University (“SMU”) School of Law won a major grant of $4.5 million from the National Research Foundation (“NRF”) and the Infocomm Media Development Authority (“IMDA”) following a competitive application process among several Institutes of Higher Learning in Singapore. With the grant, the SMU School of Law set up a new Centre for AI and Data Governance (“CAIDG”). CAIDG aims to drive thought leadership on AI and data governance in Singapore, and serve as a centre for knowledge exchange with experts worldwide.

LawTech.Asia received an exclusive opportunity to interview Associate Professor Goh Yihan, Dean of the SMU School of Law and Director of CAIDG. Here, Prof Goh shares his view on how and when technological disruption will make a major impact on the local legal industry, and how the SMU School of Law is preparing its students to face that disruption.

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