This page contains ideas to help you with some of the non-teaching tasks faculty routinely face. We suggest that you begin learning GAI by finding ways that it will help you to make your life easier. Getting it to help you write emails and letters, or schedule meetings, plan agendas, and even plan your meals can be a low-stakes way for you to get a sense of what it is good at. As an added bonus, these are tasks where you'll probably be able to see right away when it gets something wrong. So, you'll be able to learn a little about the limitations without much risk.
An amazing amount of our hours each day are spent emailing and writing letters. Because GenAI is, at its heart, a genre and writing machine, it can actually do a pretty good job with these routine tasks. It knows how to write letters of rec because it's been trained on hundreds of thousands of them. And because writing a letter of rec doesn't require advanced analysis or reasoning, the output doesn't take much work.
Generative AI offers transformative possibilities for law school curriculum development and assessment. This guide demonstrates how legal writing professors can use AI tools to enhance program design while maintaining pedagogical integrity and meeting accreditation standards. The approaches outlined here aim to streamline administrative tasks while deepening our ability to assess and improve student learning outcomes.
Use AI to draft and refine program-level learning outcomes aligned with ABA standards. AI can analyze your existing outcomes, suggest improvements, and ensure comprehensive coverage of required competencies. For example, ask AI to:
Review current learning outcomes for clarity and measurability
Suggest outcome language that better aligns with ABA standards
Generate scaffolded sub-outcomes that build toward major competencies
Create detailed matrices showing skill development across required courses. AI can help:
Track how specific skills (like legal analysis or citation) develop across semesters
Identify optimal points for introducing new concepts
Suggest natural progression paths for complex skills
Map prerequisites and skill-building sequences
Use AI to identify gaps and redundancies in curriculum coverage:
Compare course objectives across the program
Highlight areas where skills may be under- or over-emphasized
Suggest rebalancing of content across courses
Ensure systematic coverage of key competencies
Generate detailed rubrics that align with learning outcomes. AI can:
Draft rubric criteria based on course objectives
Suggest performance level descriptions
Create rubric language that clearly communicates expectations
Align rubric elements with program-level outcomes
Develop specific, measurable indicators for each competency level:
Create clear descriptors for beginning, developing, and mastery levels
Generate examples of work product at each level
Design checkpoint assessments to track progress
Map indicators to specific assignments
Generate diverse assessment types targeting different skills:
Design formative and summative assessments
Create authentic assessment scenarios
Develop self-assessment tools
Generate peer review protocols
Use AI to process assessment data and identify trends:
Analyze student performance patterns
Track progression across courses
Identify common stumbling points
Generate visualization of learning gains
Compare program outcomes against benchmarks:
Analyze performance against past years
Compare outcomes across course sections
Track effectiveness of interventions
Generate progress reports for stakeholders
Create detailed program evaluation reports for accreditation:
Compile assessment data
Generate narrative analysis
Create visual representations of outcomes
Document continuous improvement efforts
Start with a comprehensive review:
Map current curriculum against desired outcomes
Survey faculty about current practices
Identify assessment gaps
Generate preliminary recommendations
Create timeline for changes
Develop new materials and processes:
Create aligned assessments
Develop detailed rubrics
Plan implementation timeline
Design faculty training
Create documentation
Roll out changes systematically:
Deploy new assessments
Collect implementation data
Provide faculty support
Adjust based on feedback
Monitor effectiveness
Learning Outcome Analysis:
Analyze these current learning outcomes [paste outcomes] for alignment with ABA Standard 303. Suggest revisions for clarity and measurability.
Skills Progression:
Create a matrix showing how [specific skill] should develop across these courses [paste course list]. Include key benchmarks and assessment points.
Assignment Design:
Generate an assessment that measures these learning outcomes [paste outcomes] in the context of [specific legal writing task].
Rubric Generation:
Create a detailed rubric for assessing [specific skill] at the [1L/2L/3L] level, including specific examples of performance at each level.
Progress Tracking:
Design a system for tracking student progress on [specific outcome] across multiple assignments, including data collection points and analysis methods.
One way that many people are using GenAI is to create meeting minutes from Zoom/Team meetings. I've found that the notes are fairly good (at least better that my notes when I take them) but not perfect.
Meeting Management step-by-step
Here are some ways that GAI can help you plan meetings:
I. Pre-Meeting Planning
A. Scheduling
1. Availability polling
a. Drafting availability survey emails
b. Suggesting optimal meeting times based on responses
2. Calendar integration suggestions
B. Agenda creation
1. Soliciting agenda items
2. Prioritizing and organizing topics
3. Time allocation suggestions
C. Participant preparation
1. Generating pre-meeting reading lists
2. Drafting background information summaries
II. Meeting Setup
A. Location selection
1. Analyzing pros/cons of virtual vs. in-person
2. Suggesting appropriate virtual platforms
B. Resource planning
1. Identifying necessary materials or technology
2. Creating equipment checklists
III. During the Meeting
A. Agenda management
1. Generating talking points for each item
2. Suggesting time-keeping prompts
B. Participation strategies
1. Proposing icebreakers or team-building exercises
2. Generating discussion questions
IV. Post-Meeting Tasks
A. Minutes and summaries
1. Drafting meeting minutes from notes
2. Creating executive summaries
B. Action item tracking
1. Extracting and organizing action items
2. Generating follow-up task lists
C. Feedback collection
1. Creating post-meeting surveys
2. Analyzing feedback for improvements
V. Long-term Meeting Strategy
A. Meeting effectiveness analysis
1. Suggesting metrics for meeting productivity
2. Analyzing patterns in meeting outcomes
B. Continuous improvement
1. Proposing adjustments to meeting structures
2. Suggesting training topics for better meetings
Generative AI isn’t just for coding, law, or schoolwork—it can also simplify your everyday life. Whether you're preparing for a big race, planning a trip, or trying to eat healthier, AI can help you get organized, generate ideas, and stay on track.
Below are some examples of how you can use generative AI tools to help plan and manage personal projects.
Whether you’re training for your first 5K or a full marathon, or just trying to get into better shape, AI can help you develop a personalized training plan. It can take into account your current fitness level, available days to train, and race date. It can also be helpful planning your leg or shoulder days.
Sample Prompt: “Create a 12-week marathon training schedule for a beginner who can run 3 miles comfortably, wants to train 5 days a week, and is running a race on October 15.”
Generative AI can create customized packing lists based on your destination, the season, activities planned, and how long you’ll be away. It can also help organize pre-travel checklists and even itinerary suggestions.
Sample Prompt: “I’m going to Italy for 10 days in July, visiting Rome, Florence, and Venice. We’ll be walking a lot and dining out. Please create a packing list and travel checklist.”
AI can generate weekly meal plans based on dietary needs, preferred ingredients, time constraints, or even what’s already in your fridge. It can also give you a grocery list and help reduce food waste.
Sample Prompt: “Make a 5-day meal plan for two people that’s gluten-free, includes dinner only, uses chicken, broccoli, and rice, and requires less than 30 minutes of prep time each night.”
AI can help break large goals into manageable steps. It can create project timelines, study schedules, or productivity systems tailored to your available time and deadlines.
Sample Prompt: “Help me create a study plan for the bar exam. I have 8 weeks, and I’m working part-time. I want to focus on MBE subjects and have Sundays off.”
Need to plan a surprise party, anniversary date, or thoughtful gift? AI can offer ideas based on the person’s preferences, budget, and your time constraints.
Sample Prompt: “My partner and I are celebrating our 15th anniversary in Louisville. We like museums, Marvel movies, and pizza. Help me plan a fun day.”
Whether you're moving, renovating, or spring cleaning, AI can generate task lists, timelines, and even help prioritize based on budget or time.
Sample Prompt: “We’re moving into a new house at the end of the month and still need to paint, buy furniture, and pack. Create a 3-week moving checklist for a couple working full-time.”
Be specific: Include timelines, constraints, and personal preferences in your prompt.
Be iterative: You can follow up with clarifying questions to refine the plan.
Be realistic: AI can’t predict the future, but it can help you plan for it.