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Choosing a Model to Adopt

Part III explores the landscape of generative AI tools and platforms that have emerged since the introduction of ChatGPT in 2022. This part examines the features and technical capabilities of commercially available products, as well as those integrated into whole systems (e.g., Microsoft and Apple). It examines their specific strengths, limitations, and suitability in an attempt to help you consider their capability, cost structures, and specific use-case demands. This part of the book also includes a review of Australian-developed AI tools for the Australian legal market.

Learning Objectives

By the end of Part III, you will be able to:

  • Compare and contrast the capabilities, strengths, and limitations of major generative AI platforms
  • Evaluate different generative AI tools and products based on requirements
  • Understand the importance of platform integration and how it affects workflow efficiency
  • Identify AI tools designed explicitly for legal practice
  • Make informed decisions about AI platform adoption

Self-Assessment Questions

  • What are the key differences between general-purpose AI platforms and legal-specific AI tools in terms of capabilities and limitations?
  • How do the major AI platforms (ChatGPT, Claude, Gemini) differ in their strengths for legal applications?
  • What factors related to platform integration should legal practices consider when adopting AI tools?

 

License

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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.