AI at Wheat Law Library

Collaboration

WLLm Tell supports the integration of the ethical AI-assisted research and practices into the first-year lawyering skills course.

Course Description

This course introduces students to legal systems and the skills of lawyers. It includes instruction and discussion on legal traditions, legal institutions and legal methods. It focuses on developing students' skills in legal reasoning, writing and research. Students will complete numerous research and writing assignments, culminating in an open memorandum. Required course. 

Introduction to Legal Research is a required portion of the Lawyering Skills course. It is designed to introduce you to basic research skills and teach you how to navigate Westlaw and Lexis+. It is general in nature and covers the research process, secondary sources, common law, statutes, and effective use of AI in legal research. 

Collaboration

WLLm Tell provided guidance on context engineering and AI tools including Notebook LM, Protege and CoCounsel to complete research tasks.

Course Description

Spring semester. Evaluates important legal research tools and techniques not covered in the required first year Lawyering course. Provides an in-depth look at Kansas materials, legal reference books, form books, and legal information resources, including general and legal AI tools. Research aids in selected subject areas will also be examined. 

This upcoming course will focus on how lawyers use algorithmic and generative tools to automate legal services in areas such as legal drafting, regulatory compliance, and process engineering.

Collaboration

WLLm Tell explicated prompt engineering and JSON translation to improve generation using tool such as Perplexity, Claude, and Kimi K2.

Course Description

This highly interactive course explores ever-evolving global data protection, privacy risks, and obligations, as well as emerging risks and obligations triggered by the use of AI solutions, particularly generative AI solutions, by lawyers and businesses. The course will also address risks posed to individuals and businesses by the malicious use of AI tools by cybercriminals and other bad actors. Topics covered in the global data protection portion will include global data protection, privacy concepts, principles, and models; personal data use cases for both governments and businesses; varying global approaches to regulating data protection and privacy; data protection and privacy compliance obligations and best practices; and legal, ethical, and other risks posed by inadequate data protection and privacy practices. Topics covered in the AI portion include key AI concepts, principles, and models; AI use cases (with particular emphasis on legal use cases); varying global approaches to regulating AI; AI-related compliance obligations and best practices; and legal, ethical, and other risks posed by different AI technologies and practices, including but not limited to discriminatory AI practices. Classes will incorporate practical, interactive global data protection and AI-related exercises. Guest speakers, including guest speakers from other countries, will be brought in to share their unique insights on select personal data protection and privacy.