Individual time savings do not automatically translate into better results for the legal team. In this practical workshop for ACC Singapore, Factor’s Jon Ash draws on the Sensemaker Academy curriculum to explore how legal professionals can build effective AI habits and how leaders can connect those skills to wider operational improvements.
The session explores AI as an analyst, editor and creator, helping participants identify use cases relevant to their roles. Jon introduces the RACER framework for clearer prompting and shows how relevant context, targeted feedback and breaking work into steps can improve responses. Through guided AI coaching exercises, participants practice prompting and verification, including checking source material and pressure-testing conclusions. Jon also explains where hallucination risk is higher and how to make outputs easier to review.
The workshop then looks at moving from individual tasks to connected workflows. Jon explains why understanding handoffs, approvals and exceptions matters, and how clear standards, human review and baseline measures support more consistent, measurable results. He also introduces a practical test for assessing potential AI agents: whether the work happens often enough, follows a teachable process and carries risks that can be managed.
How to identify useful legal AI applications and use the RACER framework, relevant context and iteration to improve results
Where AI is more likely to produce inaccurate answers, and practical techniques for verifying its work efficiently
How to redesign legal workflows and assess where AI agents could add value, with appropriate controls and human oversight
Find out more about Sensemaker Academy.