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Artificial Intelligence in Law

In this world of digital disruption, join us to explore the uses of artificial intelligence (AI) in the law, particularly for disputes, litigation, and investigations. From the perspective of a judge, a legal technologist and a mathematician, you will learn when and how to apply AI techniques, including analytics, predictive coding and technology assisted review (TAR) to control costs.

About this course

Document review is typically the most expensive component of any dispute or investigation, primarily due to the volume of documents in this world of big data. Utilising a leading eDiscovery technology platform, Nuix Discover, you will spend part of this course in a virtual hands-on lab, learning how analytics and predictive coding can be applied to reduce the number of documents for review, allowing relevant evidence and valuable facts to be found more quickly.

Nine CPD units (one unit per hour)

Course structure

This course consists of four webinars over consecutive days led by a number of expert facilitators.

Topics covered include:

1.  What a judge considers when parties utilise TAR in the discovery process, including:

  • The judicial approach to using TAR & analytics
  • Parties’ discovery obligations
  • How a joint or unilateral approach works, and
  • How the use of TAR should be verified.

2.  What early case assessment strategies can be used when applying analytics and TAR for discovery or investigations (based on first-hand experience).

3.  How TAR actually works - explained by a mathematician, in terms a lawyer can understand.

4.  Which skills are necessary and how a multidisciplinary approach will achieve best practice outcomes. Learn why collaboration between lawyers and technologists is critical.

5.  Financial considerations when deciding how and what technologies and services to use.

During the final webinar (held in a virtual, hands-on lab), you will see how predictive coding actually works and how analytics can assist in early case assessment.

Learning outcomes

  • Understand how analytics and TAR can be applied to document review
  • Plan to include AI in document management plans
  • Identify ways to control costs by deploying AI solutions.

Online delivery

This course will be facilitated online using Zoom video conferencing. You will need:

  • Access to a computer or device with:

-   A reliable internet connection and

-   An operating system with a web browser compatible with the Canvas LMS and Nuix Discover.

  • Speakers or headphones for audio
  • Microphone and video camera functionality (optional but recommended)
  • Please be on time - your Zoom sessions will commence at 12:00pm (midday) AEDT (Sydney time).

Price and Discounts

Full price: $1,650 (GST free)

Early bird: $1,500 (GST free) Early bird ends on October 16 5.00pm

A discount of 10% is available to UTS Alumni or UTS Staff enrolling in this short course. If you’re eligible for this discount, please ensure you have provided your UTS Student or Staff ID number in your UTS Open Profile (under ‘A bit about you’).

When signing up for the session, use the relevant voucher code to apply the discount to your cart:

  • UTS Student / Alumni: Lawalumni
  • UTS Staff: Lstaff

Please note that there’s a limit of one discount rate per participant.

Who is this course for?

This course is targeted at lawyers, barristers, judges, regulators and arbitrators who want to learn how analytics and TAR can be applied and how they actually work in practice.

The course is particularly useful for:

  • Litigation lawyers
  • Litigation partners
  • Government lawyers
  • Royal commission and inquiry staff
  • Court officers
  • Digital forensic specialists
  • Barristers
  • IT teams
  • Corporate lawyers involved in complex litigation
  • Class action lawyers, funders and insurers
  • Regulatory agency staff.


“The course was a Master Class that all in our industry would benefit from attending.”

Anna Hartley, Allens

Additional Information

Disclaimer: While it is the Faculty's intention to provide this program as advertised, UTS reserves the right to alter the program, or to cancel this seminar should the minimum enrolment quota not be met. Please note that all registrations are governed by UTS Short Courses & Conferences’

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