We develop a customised AI governance framework that aligns with your legal obligations, the organisation risk appetite and operational needs.

We provide legal and operational advice to ensure there are clear directions to workplace about how AI can be used, and appropriate workplace consultation.

You receive clear advice about applicable regulations and standards, including in highly regulated industries, such as financial services and healthcare.

We'll provide a collaborative series of workshops with your leadership to define and agree the enterprise adoption and approach for AI within an organisation, considering both internal goals and objectives and external risks and competition.

We’ll provide practical support for all AI-related disputes, investigations and IP and privacy challenges.

You'll receive support with the selection and supplier management of AI enabled vendors and AI software vendors with comprehensive legal procurement support.

We'll provide strategic design of the organisation, including people, processes, systems, measures, and investments, for the implementation and adoption of an operating model that maximises the opportunities and benefits of an AI enabled organisation, while effectively manages the wide range of risks.

We'll provide a review and develop a strategy for how enterprise data and information is used and created by AI solutions to implement the appropriate controls and deliver the enabling projects to enable the organisations ambition.

MinterEllison Consulting deployed an internal AI tool to support a rapid response to a significant data breach involving decades of sensitive, unstructured information. The solution enabled efficient scanning and indexing of large volumes of documents, including handwritten notes and case files, to identify and notify affected individuals under the Notifiable Data Breaches (NDB) scheme. The approach reduced manual review time, minimised staff exposure to sensitive materials, and ensured compliance with regulatory obligations through scalable, timely notifications and enhanced data privacy safeguards. 

Contact our team: 

Shannon Sedgwick 

Paul Kallenbach

Performed a comprehensive review of client’s privacy documents, including Privacy Policy and applicable Collections Notices, Privacy Procedures and Privacy Playbook to enable safe and responsible use of artificial intelligence, in compliance with Australian Privacy Laws. 

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Sonja Read

Chelsea Gordon

AI Policy and Governance Framework developed by MinterEllison’s AI Advisory team, addressed high risk fragmented AI implementation and inconsistent approval processes across jurisdictions causing inefficiencies. The framework included an AI system use review, streamlined governance processes, an AI Ethics Implementation Guide, a Risk Assessment methodology, and practical governance tools like the AI Impact Assessment Tool. 

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Shane Evans  

Chelsea Gordon 

Sam Burrett

A NSW Government agency operating critical infrastructure sought to enhance its AI governance capabilities to meet evolving operational demands. The organisation needed to navigate a complex regulatory landscape, including overlapping state and federal legislation. They required a scalable AI governance approach aligned with public sector requirements and critical infrastructure considerations. The agency was advised by MinterEllison’s AI Advisory team on legal regulatory standards, and our team developed a modular AI Governance Framework specific to the client’s regulatory context, created tailored risk assessment tools, established clear governance processes, and delivered practical implementation guides for consistent application across business units. 

Contact our team:

Shane Evans  

Chelsea Gordon 

Sam Burrett

Designed the use case canvas and prioritisation framework, focusing on return on investment and risk versus reward. Oversaw selected proofs of concept programme ensuring outputs met the use case canvas objectives and wider strategy of the function. Also ran a full day workshop with users to improve adoption, literacy and ideation for new use cases. 

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Jason McQuillen 

Matt Johnson 

Sam Burrett

Developed AI Governance Standards and Guidelines to set base requirements for all portfolio and group companies, aligned to regulation and appropriate voluntary standards. 

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Jason McQuillen 

Sam Burrett 

Chelsea Gordon

MinterEllison advised a large State Department on the risks and opportunities of using generative AI technologies, such as ChatGPT, in public service. This included addressing critical legal, technical, and strategic risks to provide a holistic approach to AI-related challenges and opportunities. The advice encompassed the establishment of AI policies and related documents, development of a responsible AI use strategy, creation of cohesive AI governance policies, and preparation of a Risk Impact Assessment to methodically consider critical risks and facilitate systematic documentation. 

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Shane Evans  

Chelsea Gordon 

Sam Burrett

Conducted a comprehensive data discovery, mapping, and governance review across multiple business units, including community support, retirement living, and clinical care using a bespoke AI platform. The review encompassed both digital and physical records, mapping operational processes and a complex technology environment. Delivered detailed data maps, identified key operational processes, assessed technology integration opportunities, and provided tailored recommendations to uplift data governance practices, improve data quality, and enhance security and accessibility across the organisation. 

Contact: Shannon Sedgwick

Provided Microsoft Corp with intellectual property counsel and guidance in relation to its presence and product offering in Australia, including in connection with its Artificial Intelligence offerings.

Contact: Zeina Milicevic

Acted in a regulatory dispute involving machine learning algorithmic pricing practices for home insurance renewals in the financial services sector. The matter focused on compliance with existing laws in the absence of dedicated AI legislation and required proving how the algorithm treated customers in practice. This raised challenges not typically seen in non-AI cases, including the need for specialised analytical tools to establish the impact and effect of AI-driven decisions. The experience gained provides valuable insight for future cases involving AI adoption and regulatory litigation.

Contact: Michael Hershan

Advised on an IP dispute involving a bespoke AI tool developed within a consumer goods business. The matter required collaboration across legal, technical, and employment teams to address key risks including copyright subsistence and ownership of AI-generated software created by employees. Our multidisciplinary approach clarified legal obligations, reduced uncertainty, and protected client interests in a fast-evolving AI environment.

Contact: John Fairbairn