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Book Title: GenAI for Legal Practice

by Mitchell Adams

Cover image for GenAI for Legal Practice

Book Description: As generative artificial intelligence (AI) transforms legal practice, the profession faces opportunities and challenges in adopting these technologies. GenAI provides a comprehensive and accessible guide to integrating generative AI tools into Australian legal practice. It introduces an AI Fluency Framework and systematic approaches to prompt design and engineering that enable practitioners to ethically and effectively harness AI tools while maintaining the highest professional standards.

License:
Creative Commons Attribution NonCommercial ShareAlike

Contents

Book Information

Book Description

As generative artificial intelligence (AI) rapidly transforms legal practice, the profession faces opportunities and challenges in adopting these technologies. GenAI for Legal Practice provides a comprehensive and accessible guide to integrating generative AI tools into Australian legal practice, offering both theoretical foundations and practical applications. The book introduces an AI Fluency Framework specifically designed for legal practitioners, encompassing five core competencies. From foundational concepts of AI and large language models to advanced prompt engineering techniques, the book systematically guides readers through the landscape of available AI platforms, practical implementation strategies, and critical ethical considerations. Through practical examples, readers will learn methodologies for constructing prompts that elicit reliable outputs while also understanding the limitations and risks associated with AI in legal practice. This essential resource equips legal professionals, law students, and legal educators with the knowledge and skills necessary to work effectively, efficiently, ethically, and safely with AI tools while maintaining the highest professional standards.

Author

Mitchell Adams

License

Icon for the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License

GenAI for Legal Practice Copyright © 2025 by Swinburne University of Technology is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License, except where otherwise noted.

Subject

Legal technology

Metadata

Title
GenAI for Legal Practice
Author
Mitchell Adams
License

Icon for the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License

GenAI for Legal Practice Copyright © 2025 by Swinburne University of Technology is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License, except where otherwise noted.

This book was published by Swinburne University of Technology via the Council of Australasian University Librarians Open Educational Resources Collective. The online version is available at https://oercollective.caul.edu.au/gen-ai-legal-practice

Disclaimer

Note that corporate logos and branding are specifically excluded from the Creative Commons Attribution NonCommercial ShareAlike (CC BY-NC-SA) 4.0 Licence of this work, and may not be reproduced under any circumstances without the express written permission of the copyright holders.

Copyright

GenAI for Legal Practice by Mitchell Adams is licensed under a Creative Commons Attribution NonCommercial ShareAlike (CC BY-NC-SA) 4.0 Licence by Swinburne University of Technology.

Recommended citation

Adams, M. (2025). GenAI for Legal Practice. Swinburne University of Technology. https://oercollective.caul.edu.au/gen-ai-legal-practice

Recommended attribution

GenAI for Legal Practice by Mitchell Adams is licensed under a Creative Commons Attribution NonCommercial ShareAlike (CC BY-NC-SA) 4.0 Licence by Swinburne University of Technology.

Cover (illustration) by DALL·E 3 is licensed under a Creative Commons (CC 0) 1.0 International Licence.

Primary Subject
Legal technology
Additional Subject(s)
Legal skills and practice, Artificial intelligence (AI)
Institution
Swinburne University of Technology
Publisher
Swinburne University of Technology
Publisher City
Melbourne
Publication Date
August 1, 2025
Digital Object Identifier (DOI)
https://doi.org/10.25916/z48s-w308
Ebook ISBN
9781925761627