Responsible AI for Public Sector Legal Professionals

Overview of the course, including its learning objectives and relevance for legal professionals in the public sector. The opening explains why you will want and need to know about AI. Suitable for government lawyers and legal staff at all levels, the course explores how AI is transforming the legal profession and how lawyers can responsibly use AI to better serve the public.

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.

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.

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.

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).

The final module summarizes learnings from across the course about the safe and responsible individual use of GenAI tools and their value for public sector legal professionals.

Overview of the course, including its learning objectives and relevance for legal professionals in the public sector. The opening explains why you will want and need to know about AI. Suitable for government lawyers and legal staff at all levels, the course explores how AI is transforming the legal profession and how lawyers can responsibly use AI to better serve the public.

Discusses best practices for data segregation and the use of “walled gardens.” Discusses the Criminal Justice Information Security (CJIS) standard and how to ensure compliance. Distinguishes between tasks that require paid AI tools versus those that can be handled by free tools and how to evaluate AI vendors.

Guides learners through the process of identifying problems within their own work that AI tools can help to solve. Explains how to take these solutions from idea to implementation, covering the process of developing and implementing AI-enabled tools. Profiles several existing AI tools built by public sector legal offices.

Explores the ethical implications of employing GenAI at a societal level and dissects potential challenges like copyright infringement, deepfakes, astroturfing, issues related to private platforms, and the challenge of developing effective and proactive AI regulation. Additionally, this module delves into ongoing efforts aimed at mitigating these risks.

Guides legal professionals on how to develop and implement an AI acceptable use policy for their office in line with best practices for data governance when using AI tools.

The final module summarizes learnings from across the course about the safe and responsible design of AI policies and projects and their social impact.