About This Chapter
In the Singapore Chapter, we focus on:
- Data-Informed Legal Practice: Explore how teams across Singapore are approaching KPIs, metrics, and performance insights to support better decision-making in an increasingly sophisticated market.
- Technology & Innovation: Discuss the evolving role of legal tech, AI-enabled research, digital court systems, and how these tools shape daily work in a jurisdiction known for its strong digital infrastructure.
- Strategic Conversations: Engage with peers on regional trends, regulatory developments, talent expectations, and the skills legal professionals need to stay competitive without sharing confidential or firm-specific details.
- APAC Perspective: Understand how Singapore’s position as a regional hub influences client demands, cross-border work, and the broader legal ecosystem across ASEAN and APAC
The Singapore Chapter currently serves as the APAC hub for the Legal Operations & KPIs Forum and welcomes members from across Asia-Pacific and hosts virtual sessions designed for the broader region. As more local groups reach critical mass, additional country or sub‑regional chapters will be launched.
Upcoming Events
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We will look at how APAC teams can standardise intake and contracting enough to improve speed and data quality while respecting local realities.
Date:
April 17, 2026
Time:
4:00 PM
-
5:30 PM
(GMT+08:00)
Location:
Remote
A practical session on privacy, cyber, and cross-border data transfer metrics that can scale across multiple APAC jurisdictions.
Date:
June 16, 2026
Time:
4:00 PM
-
5:30 PM
(GMT+08:00)
Location:
Remote
This session covers how to move from isolated AI pilots to a workable operating model with policies, training, measurement, and guardrails.
Date:
September 15, 2026
Time:
4:00 PM
-
5:30 PM
(GMT+08:00)
Location:
Remote
We will discuss the dashboards that help regional leaders prioritise resources, compare trends, and connect legal operations work to business outcomes.
Date:
December 15, 2026
Time:
4:00 PM
-
5:30 PM
(GMT+08:00)
Location:
Remote