MinterEllison, one of Australia’s leading law firms, is taking a thoughtful approach to AI, focusing on using it responsibly, inclusively and with people firmly in control.
AI is already part of how they work day-to-day, supporting everything from document analysis and complex negotiations through to workflow management and onboarding.
Keeping people at the centre
Human judgement is still central. Their people bring the context, experience and different perspectives that shape how AI tools are used, and ultimately, the quality of the outcomes.
That means ongoing oversight, careful design, and regularly checking how things are working to manage bias. It also means investing just as much in their people as in the technology itself.
Designing for inclusion from the start
AI can either reinforce inequality or help reduce it.
MinterEllison has been intentional about building inclusion in from the very beginning, rather than trying to retrofit it later.
They’ve clearly defined what responsible AI looks like for them, with inclusion sitting alongside accountability, security and privacy, reliability, and explainability as core principles.
In practice, this shows up in their firmwide AI tool, Legora, where inclusive design is embedded into workflows. Frameworks like the Champions of Change 7 Switches and inclusive language guidance help shape how AI is applied in everyday tasks.
Supporting people to engage with AI
Access to AI and confidence in using it isn’t equal. Gaps can show up across gender, seniority and different backgrounds.
MinterEllison is actively working to address this through initiatives like Women in AI forums and their AI Fluency Program. These create space for people to ask questions, build confidence and help shape how AI is used across the firm.
What this shows
MinterEllison’s approach is a reminder that inclusive AI doesn’t just happen.
It takes deliberate choices to embed inclusion into systems, invest in people and maintain human accountability.
Done well, AI isn’t just scaled, it’s scaled responsibly.
Inclusive AI in Recruitment
AI at Work in Recruitment is a joint research project between DCA, Hudson RPO and Monash University, carried out in 3 stages centred around 3 key areas.
DCA is calling for a human rights-first approach to AI in recruitment
DCA is urging employers and policymakers to treat AI in hiring not just as a technology or efficiency issue, but as a fundamental question of fairness and human rights.