
AI & the Law
AI & the law unpacks the big issues confronting the legal profession as the sector, and other associated professional services, explore the potential opportunities of integrating generative AI into the workplace. Covering business and cultural shifts, workforce changes, and technical innovation, this mini series will answer the most pressing questions being asked by legal professionals around Australia.
Latest episodes

11 snips
Feb 25, 2025 • 17min
How are law firms benefiting from generative AI research tools?
James Jarvis, vice-president of global legal solutions at Thomson Reuters, discusses the transformative impact of generative AI on law firms. He highlights how AI tools have moved from theoretical discussions to practical applications, enhancing research accuracy and efficiency. Daniel Knight from K&L Gates shares insights on unlocking new client services through these technologies. They emphasize the importance of training, collaboration, and continuous evaluation, showcasing how AI not only saves time but also enriches legal practice.

20 snips
Nov 12, 2024 • 18min
How is AI helping law firm workflows?
Caryn Sandler, Partner and Chief Knowledge Officer at Gilbert + Tobin, and Catherine Roberts, Senior Director of AI and Legal Tech at Thomson Reuters, discuss how AI is reshaping legal workflows. They dive into the balance between technology and human judgment, highlighting the transformation of repetitive legal tasks into strategic endeavors. The conversation reveals the enthusiasm for AI adoption amid initial skepticism and the importance of training and collaboration in effectively harnessing new tools in the legal field.

Jul 3, 2024 • 15min
Can ethics put the necessary humanity into AI?
Carter Cousineau, Vice-president of data and model governance at Thomson Reuters, dives into the ethical implications of AI in the legal field. He discusses how to integrate AI responsibly while keeping human-centric values at the forefront. Cousineau addresses concerns about privacy, fairness, and bias, highlighting the importance of governance in building trusted AI systems. He also emphasizes the need for transparency and interpretability in AI operations to navigate the complexities of this rapidly evolving technology.