In this episode of Inside Employment, Tony Wood, Natalie Gaspar and Lucy Boyd unpack the Federal Government’s proposed reforms to non-compete and restraint of trade laws, recently released in exposure draft form. The proposed changes would significantly reshape the use and enforceability of non-compete and non-solicitation clauses across Australia.

Tony, Natalie and Lucy discuss the key elements of the proposed reforms, including the ban on non-competes for employees below the high-income threshold, the prohibition on employee non-solicitation clauses, the new enforcement framework for higher income earners, and what the changes could mean for employers and workforce mobility.

With consultation now underway, this episode provides a timely overview of one of the most significant proposed changes to Australian employment law in recent years.

In this episode David Beck, Casey Ballard and Uchi Jayawardhena tackle one of the biggest barriers to successful AI adoption: poor data foundations. They explore why data disorganisation, fragmentation and inconsistent governance continue to undermine business processes, long before GenAI enters the picture.

With each speaker coming at the problem from a slightly different angle, they examine why even the most advanced technology cannot compensate for poor-quality data. They discuss the myths that hold organisations back, the risks of relying on technology to solve underlying data issues, and the practical steps businesses can take to move from data chaos to data clarity.

The episode highlights how strong data foundations enable better decision-making, lower risk, more effective technology adoption and more reliable AI outcomes. Ultimately, the message is simple: if you want AI to deliver value, you need to start with the data.

In this episode of On Just Terms partners Jason Betts and Melissa Gladstone speak with Professor Anthea Roberts, ANU Professor and leading scholar at the intersection of law, technology and global risk, about what it takes to work effectively with AI.

They discuss why lawyers may be uniquely positioned to thrive in the AI era, how multi-agent AI systems can tackle complex interdisciplinary challenges, and the growing importance of AI literacy for knowledge workers. The conversation also explores Professor Roberts' Risk-Reward-Resilience framework and what organisations can do to build long-term adaptability in a rapidly changing world.

Recorded 22 June 2026

In Part 2 of our latest episode of Inside IR, industrial relations partner Rohan Doyle and Melbourne Business School Professor Jennifer Overbeck continue their discussion on the evolving enterprise bargaining landscape, exploring how employers, unions and employees can move beyond short-term, power-based bargaining and invest in negotiation processes that create sustainable value for all parties.

They discuss practical approaches to navigating BATNAs, managing the threat of industrial action, building trust throughout the bargaining process, and communicating effectively with employees during negotiations.

This episode forms part of our ongoing collaboration with Melbourne Business School through the Industrial Relations Negotiations Program, which equips leaders with the skills needed to negotiate more effectively in today's industrial relations environment.

Registrations are closing soon. Learn more about the program and secure your place here.

In this episode, we continue our director series with part two of our cross examination of Catherine Brenner and John Mullen. In our last episode, we left you on a cliffhanger. We now pick up where we left off. We also discussed the value in good communications, the human factor in cyber incident response, a values-led approach as compared with a compliance-led approach, AI, of course, and board simulations. This is Cross-Examining Cyber. It's part of our director series, the cross-examination of Catherine Brenner and John Mullen, part two. Here we go.

We are delighted to launch our new podcast series, Insuring AI, which explores the broad range of questions that AI is throwing up for the insurance world.

In this first episode, we discuss the legal statement on liability for AI harms published by the UK Jurisdiction Taskforce (UKJT) in July 2026 and its implications for insurance liability claims. The statement seeks to address in what circumstances, and on what legal bases, English law will impose liability for loss that results from the use of AI.

This episode is hosted by Greig Anderson, Partner in our Insurance & Professional Risks team, who is joined by Will Gibson, Senior Associate.

For a summary of the UKJT's final legal statement, visit our blog post.

In this episode, we unpack the growing "Misdiagnosis Effect" in the age of GenAI, where organisations often focus on the technology they think they need rather than the problem they are trying to solve.

Casey Ballard (Head of Strategic Applications, UK, US & EMEA), Suzanne Cowan (Head of Corporate & Construction, UK & EMEA) and Uchi Jayawardhena (Head of Data Analytics) explore why successful transformation starts with the problem, not the technology.

Drawing on real client conversations and delivery experience, they discuss the value of navigating the often messy discovery process, balancing people, process, technology and data, and choosing the right solution rather than defaulting to GenAI. They also examine the challenges of consistency, governance and repeatability, highlighting why workflow redesign and automation can often deliver greater value than AI alone.

In this episode, partner Jason Betts speaks with Michael Pelly, legal reporter at Capital Brief and former legal affairs editor at the Australian Financial Review, about the key developments shaping corporate litigation in Australia.

They discuss the implications of the landmark ASIC v Star decision for directors' duties and corporate governance, the evolving landscape of shareholder class actions, and the role of the courts in driving legal reform. The conversation also explores the growing complexity of major litigation and the opportunities and limitations of AI in legal practice.