AI-Enabled Law Adjunct: Teach the Future of Practice

Brigham Young University (BYU)

Provo (UT)

On-site

USD 30,000 - 60,000

Part time

11 days ago

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Benefits offered by this job

Relocation to Utah

Job summary

Brigham Young University (BYU) Law invites applications for an Adjunct Faculty member to teach AI-Enabled Legal Practice. The position supports hands-on AI tools in research, drafting, and workflow design, with flexible scheduling to align with student needs.

Start date January 2027, relocation to Utah required for the duration of employment. The ideal candidate holds a Master’s or JD or higher, with substantial AI or legal technology experience, and capable of engaging professional audiences.

Qualifications

  • Master’s degree or higher in a related field is required by start date.
  • Significant professional experience with artificial intelligence, technology, or related field is preferred.
  • Experience teaching or explaining technical concepts to professional audiences is desirable.

Responsibilities

  • Co-teach AI-Enabled Legal Practice with hands-on course content.
  • Help students evaluate and responsibly deploy AI tools (accuracy, confidentiality, security).
  • Guide students through exercises and capstone project on AI-enabled legal workflow or service.
  • Provide availability outside of class to address questions.
  • Class time will be scheduled based on applicant schedule and Law School needs.

Skills

AI experience
Legal practice
Teaching

Education

Master’s degree or higher
JD preferred

Job description

Brigham Young University (BYU) Law invites applications for an Adjunct Faculty member to teach AI-Enabled Legal Practice. The position supports hands-on AI tools in research, drafting, and workflow design, with flexible scheduling to align with student needs.

Start date January 2027, relocation to Utah required for the duration of employment. The ideal candidate holds a Master’s or JD or higher, with substantial AI or legal technology experience, and capable of engaging professional audiences.

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