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Responsible AI for Public Sector Legal Professionals

Using Generative AI: Everyday Tools and Best Practices

Responsible AI for Public Sector Legal Professionals

Using Generative AI: Everyday Tools and Best Practices - Resources

Printed on: 10/10/2026

Find all the resources mentioned in the online course by selecting a module from the dropdown menu below. Have questions? Contact us

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Module 2: Explaining GenAI and machine learning

Describes the basics and capabilities of GenAI and machine learning and how these technologies differ. Explains what large language models (LLMs) are and how they process data and what’s happening under the hood when you type something in. Introduces how public sector lawyers can use GenAI to conduct their work more efficiently and effectively while safeguarding privacy.

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Module 3: Overcoming risks: Your individual use

Reviews ethical risks, including hallucination, mistakes, and privacy concerns, that are relevant to using GenAI in the context of public sector legal practice. Discusses practical approaches to addressing and mitigating risks.

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  • For a more technical and interactive explanation of how bias appears in these generative ai models and the ways their developers are working to correct them see this article from PAIR (People, AI, Research) group at Google. 

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Module 4: How Generative AI can help your day-to-day

Introduces typical use cases compatible with GenAI in public sector legal applications. Provides a framework for responsibly identifying suitable work tasks for its application, including emerging innovations and case studies.

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Innovate US Prompt Engineering Worksheets (here).

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Module 5: Generative AI best practices

Offers best practices for using GenAI with skills like prompt engineering, complemented by interactive exercises to test and confirm any acquired knowledge. Discusses retrieval augmented generation (RAG), how legal staff can use RAG technology to ensure privacy and reliability, and how this approach differs from large language models (LLM).

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