The surge of AI in the legal community gives the law librarian the chance to step up and make ourselves known. This opening panel will discuss the skills that law librarians can hone to become the leaders within the AI space and how the legal profession is changing. Unsure how to lead in this area? The panel will discuss upskilling paths and share experiences in certification and continued education.

MODERATOR:

• Rebecca Fordon, Assistant Professor of Practice and the Assistant Director of Innovation, Research & Instruction, the Ohio State University Moritz Law Library

SPEAKERS:

• Cas Laskowski, Head of Research, Data & Instruction, University of Arizona College of Law Library
• Diana Koppang, Director of Knowledge Management, Neal, Gerber & Eisenberg LLP

AALL BODY OF KNOWLEDGE DOMAINS: Professionalism + Leadership At Every Level

All AALL webinars include live captioning services.

The opinions shared during this program represent the views of the speakers and do not necessarily reflect those of the American Association of Law Libraries (AALL). Recording, capturing, or using AI tools to duplicate, transcribe, or otherwise reproduce an AALL program in any form is strictly prohibited without prior written consent from AALL. This includes, but is not limited to audio, video, or any other content shared. By attending an AALL program or accessing an AALL recording, you agree to adhere to this policy.

Ahead of the AALL Virtual Exchange, AALL will invite the law librarian community to contribute their ideas for effective, innovative prompts that solve challenges, save time, and create opportunities. This session will highlight some of the Top Rated Responses and considerations when developing prompts, and share prompting trends. Attendees will walk away with tools they can start using immediately to improve their prompts

AALL BODY OF KNOWLEDGE DOMAINS: Research + Analysis

All AALL webinars include live captioning services.

The opinions shared during this program represent the views of the speakers and do not necessarily reflect those of the American Association of Law Libraries (AALL). Recording, capturing, or using AI tools to duplicate, transcribe, or otherwise reproduce an AALL program in any form is strictly prohibited without prior written consent from AALL. This includes, but is not limited to audio, video, or any other content shared. By attending an AALL program or accessing an AALL recording, you agree to adhere to this policy.

This session will feature two presentations centered around AI strategy: 

• Your AI Knows Too Much: Privilege, Confidentiality, and the New Discovery Frontier
• Beyond Hallucinations: What ABA Opinion 512 Really Means for AI & Law Librarians

Your AI Knows Too Much: Privilege, Confidentiality, and the New Discovery Frontier

When a federal judge ruled that a defendant's generative AI prompts and outputs were neither privileged nor protected work product, a new era of privilege risk was born. This session examines the emerging and rapidly diverging case law on attorney-client privilege and work product protection in the age of AI, with a focus on what law librarians need to know to support their students, attorneys, and other stakeholders. Drawing from United States v. Heppner (S.D.N.Y.), Warner v. Gilbarco (E.D. Mich.), and Conservation Law Foundation v. Shell Oil (D. Conn.), we’ll explore how platform terms of service can destroy confidentiality and why privilege and work product doctrine diverge for AI-generated materials. Whether you are curating AI research tools, advising on information governance, or fielding questions about safe AI use, this session will equip you with the doctrinal grounding and practical frameworks to navigate the new landscape confidently.

TARGET AUDIENCE:

All law librarians involved in risk assessment 

TAKEAWAYS:

1. Attendees will gain practical insight into how enterprise versus consumer AI platforms affect privilege analysis
2. Understand  the implications for everyday tools like Gmail
3. Recognize governance protocols that organizations should implement to safeguard confidentiality. 

SPEAKER:

• Cindy Guyer, Practice Innovation Attorney, Foley & Lardner LLP

AALL BODY OF KNOWLEDGE DOMAINS: Information Management

Beyond Hallucinations: What ABA Opinion 512 Really Means for AI & Law Librarians

ABA Formal Opinion 512 laid out the rules of the road for AI in law — and the guardrails go a lot further than "make sure it doesn't hallucinate." Confidentiality risks, fee transparency, supervision gaps: the ethical exposure is real, with major consequences for violations. This session provides law librarians with a practical map for understanding the Rules and bringing them into classrooms, training programs, and their day-to-day work.

TARGET AUDIENCE:

All law librarians involved in vetting AI and/or training users to work with GenAI products.

TAKEAWAYS:

1. Identify the Model Rules implicated by AI use in legal practice and law libraries beyond competence, including confidentiality, fees, and supervisory responsibility.
2. Apply the framework of ABA Formal Opinion 512 to real-world AI use scenarios to spot potential ethical violations.
3. Explore instructional content or training materials that help law students and practitioners navigate AI ethics under the Rules.

SPEAKER:

• Deborah Ginsberg, Manager of Emerging Technologies, Harvard Law School Library

AALL BODY OF KNOWLEDGE DOMAINS: Professionalism + Leadership At Every Level, Teaching + Training

Be a part of the conversation! The virtual coffee chat will begin with the full group to provide an overview of problem solving with AI, then attendees will be able to choose which breakout session discussion to join, centered around the academic, government, and law firm library types. The moderated breakouts will ask questions targeted to your library experience, and all attendees are invited to contribute. The breakout discussion will be captured via a notetaker and anonymized takeaway summaries shared as part of the event recordings bundle.

AALL BODY OF KNOWLEDGE DOMAINS: Professionalism + Leadership At Every Level, Research + Analysis, Information Management, Teaching + Training, Marketing + Outreach, Management + Business Acumen

The opinions shared during this program represent the views of the speakers and do not necessarily reflect those of the American Association of Law Libraries (AALL). Recording, capturing, or using AI tools to duplicate, transcribe, or otherwise reproduce an AALL program in any form is strictly prohibited without prior written consent from AALL. This includes, but is not limited to audio, video, or any other content shared. By attending an AALL program or accessing an AALL recording, you agree to adhere to this policy.

This session will feature two presentations centered around building AI skills across organizations and the public. 

• AI Said So: Understanding and Countering Pro Se Overreliance on AI-Generated Legal Information
• Educational program to be announced

AI Said So: Understanding and Countering Pro Se Overreliance on AI-Generated Legal Information

This session explores a novel phenomenon unique to the AI-age: self-represented litigants are increasingly arriving to public law libraries anchored in AI-generated legal information and rejecting law librarians’ expertise and authoritative information. The presenter is an MILS student who has designed a research study regarding this phenomenon and will be conducting the research this coming Spring. Attendees will be introduced to theoretical frameworks and literature underpinning this study, the study’s purpose, design, and research questions, and will feature an opportunity to share firsthand experiences and strategies from your own location.

This session is geared toward legal information professionals who have struggled when encountering an AI-influenced SRL and wants to understand: 1. Why this situation occurred, and 2. What they can do next time—because there will be a next time.

TARGET AUDIENCE:

Public-facing law library professionals

TAKEAWAYS:

1. Attendees will learn what automation bias is and how it manifests in public law libraries.
2. Attendees will learn how affective states (emotions) influence information behavior and increase the likelihood of overreliance on AI and rejection of the law librarian's subject matter authority.
3. Attendees will learn what strategies are positioned to be successful vs. unsuccessful, informing future reference encounters with AI-influenced patrons.

SPEAKER:

• Ella Pieterse, Law Library Assistant, New York State Unified Court System

AALL BODY OF KNOWLEDGE DOMAINS: Professionalism + Leadership At Every Level, Teaching + Training

All AALL webinars include live captioning services.

The opinions shared during this program represent the views of the speakers and do not necessarily reflect those of the American Association of Law Libraries (AALL). Recording, capturing, or using AI tools to duplicate, transcribe, or otherwise reproduce an AALL program in any form is strictly prohibited without prior written consent from AALL. This includes, but is not limited to audio, video, or any other content shared. By attending an AALL program or accessing an AALL recording, you agree to adhere to this policy.

This session will feature two presentations centered around Trends in Teaching AI in the University Setting: 

• AI-Integration in First Semester Legal Research & Writing
• Educational program to be announced

AI-Integration in First Semester Legal Research & Writing

This session presents a practical, classroom-tested approach to integrating generative AI into first-year Lawyering Skills instruction. Drawing on implementation at an academic law library and legal research program, the presentation demonstrates how AI can be embedded within core competencies (case analysis, legal reasoning, and research) rather than treated as a standalone topic. Through structured assignments, students critically evaluate AI-generated legal work, identify hallucinated authorities, compare human and AI drafting, and develop verification habits essential to professional practice. The session emphasizes real-world challenges, including overreliance, accuracy, and ethical obligations, while offering concrete exercises and workflows that legal information professionals can adapt in their own instructional settings. This talk highlights lessons learned, student outcomes, and strategies for fostering AI literacy grounded in judgment, accountability, and rigorous legal research.

TARGET AUDIENCE:

Academic Law Librarians, Court Librarians, Firm/Private Law Librarians, Government Law Librarians, Legal Research & Writing Instructors (Non-librarians), Knowledge Management & Innovation Professionals, and Newer Legal Information Professionals/Early Career Librarians.

TAKEAWAYS:

1. Evaluate AI-generated legal content critically by identifying hallucinated citations, misapplied authority, and gaps in reasoning, using structured verification techniques applicable to real research workflows.
2. Integrate AI tools into legal research and writing instruction in ways that reinforce—rather than replace—core competencies such as case analysis, rule synthesis, and predictive reasoning.
3. Apply ethical and professional standards to AI use by developing practices that promote transparency, accuracy, and accountability in line with legal research norms and professional responsibility rules.

SPEAKERS:

• Frank Young, Reference Librarian & Instructor, University of Illinois Chicago School of Law

AALL BODY OF KNOWLEDGE DOMAINS: Professionalism + Leadership At Every Level, Research + Analysis, Teaching + Training, 

All AALL webinars include live captioning services.

The opinions shared during this program represent the views of the speakers and do not necessarily reflect those of the American Association of Law Libraries (AALL). Recording, capturing, or using AI tools to duplicate, transcribe, or otherwise reproduce an AALL program in any form is strictly prohibited without prior written consent from AALL. This includes, but is not limited to audio, video, or any other content shared. By attending an AALL program or accessing an AALL recording, you agree to adhere to this policy.

Generative AI is reshaping both legal practice and legal education, and law schools and the legal community are better equipped to respond when they work together. Attorneys and judges are encountering AI in their courts, firms, and agencies and need grounded, practical guidance on how to use it ethically and effectively. Law schools need to understand what students will face in practice to prepare them well. That exchange, with law schools and the legal community learning from one another, is exactly where law librarians can play a leadership role. The relationship can be genuinely reciprocal, with knowledge, experience, and conversation moving in both directions.

This session offers an overview of the University of Wisconsin Law Library's AI literacy program that has reached audiences ranging from law students and faculty to practicing attorneys, judges, librarians, and the public, teaching each how to integrate AI into their work and lives ethically and effectively. Drawing on years of experience presenting to more than 4,000 learners, the presenters will share a practical framework for designing AI literacy sessions that can be tailored to any audience or skill level. They will illustrate how outreach to attorneys, judges, court administrators, and bar association members strengthens both the program and the profession, and how bringing practitioners into law school classrooms and conversations gives students direct exposure to AI in practice and offers insight into how to prepare graduates for legal practice where AI literacy is expected, not optional.

Those conversations, whether in a courtroom, a bar association meeting, a law school seminar, or a lunch with alumni, strengthen both sides of the relationship and make the legal community, as a whole, better prepared to meet the challenges AI presents.

TARGET AUDIENCE:

This session is designed for law librarians across all settings: private, academic, and government. Whether you are new to AI literacy education or looking to expand your reach, you will leave with practical tools for building connections across the legal community and stepping into a leadership role in AI literacy education.

TAKEAWAYS:

1. Participants will be able to apply a practical framework for designing and adapting AI literacy sessions for a range of legal audiences and skill levels.
2. Participants will learn concrete strategies for building reciprocal relationships between their institutions and the legal community extending AI literacy outreach outward and bringing practitioners into the conversation.
3. Participants will be able to articulate the role law librarians can play as AI literacy leaders and institutional partners across law schools, courts, bar associations, and legal practice settings.

SPEAKERS:

• Bonnie Shucha, Associate Dean and Director of the Law Library, University of Wisconsin Law School
• Kris Turner, Associate Director of Public Services, University of Wisconsin Law Library

AALL BODY OF KNOWLEDGE DOMAINS: Professionalism + Leadership At Every Level, Teaching + Training, Marketing + Outreach

CANCELLATION AND OTHER POLICIES

No refunds will be given for any purchased live AALL webinar. This applies to non-AALL members only as AALL webinars are free for AALL members.

All AALL webinars include live captioning services.

The opinions shared during this program represent the views of the speakers and do not necessarily reflect those of the American Association of Law Libraries (AALL). Recording, capturing, or using AI tools to duplicate, transcribe, or otherwise reproduce an AALL program in any form is strictly prohibited without prior written consent from AALL. This includes, but is not limited to audio, video, or any other content shared. By attending an AALL program or accessing an AALL recording, you agree to adhere to this policy.

This session will feature two presentations centered around AI Agents: 

• (L)SaaS: Librarian Software as a Service
• Building a Reliable AI Agent: What Context Fixed, What Drifted, and Why Librarians Already Have the Core Skill

(L)SaaS: Librarian Software as a Service

This program explores how law librarians can act as “software as a service” providers by combining legal research expertise with practical knowledge of AI tools and vibe coding. Drawing on two examples from the Jameson Law Library—a vibe-coded web scraper created to assist a faculty member and an internal AI agent developed to analyze faculty publication patterns—the program will show how librarians can design practical, targeted technology solutions for their patrons. These examples serve as test cases for the broader potential of (L)SaaS as a model for expanding the role of law librarians in research support and legal technology innovation.

TARGET AUDIENCE:

All types of law librarians.

TAKEAWAYS:

1. Gain an understanding on how AI agents and vibe coding can be used to create useful tools for creating practical Librarian Software.
2. Identify opportunities within their own institutions where librarians can develop targeted technology solutions to support patrons.

SPEAKERS:

• Cody James, Director of the Law Library and Assistant Professor, William J. Jameson Law Library (University of Montana)

AALL BODY OF KNOWLEDGE DOMAINS: Research + Analysis, Information Management

Building a Reliable AI Agent: What Context Fixed, What Drifted, and Why Librarians Already Have the Core Skill

You’ve built your first agent. But how do you know you’ve done it well? This case study walks through best practices in building and testing agents, using a research support agent designed to help researchers respond to law firm research requests. Attendees see the agent in action, the scoring rubric used to evaluate it, and the test results across four versions, from a baseline that invented tools and misjudged how long requests would take to a version that passed every accuracy check.

Context engineering (the context you provide to the AI; in this case, organized knowledge about the department, its tools, and its limitations) fixed the dangerous failures, including fabricated tools, wrong tool routing, and scope creep. Formatting and style proved harder. Even with a formatting rule written into the agent’s context, style drifted between runs because written guidance is not the same as structural enforcement. An agent can hold context and still drift from it, which is why humans stay in the loop.

The deeper lesson for our profession is self-advocacy. The work that made this agent reliable was classification, metadata, information architecture, and taxonomy. Law librarians already have the core skill. It translates directly to building and maintaining AI systems.

TARGET AUDIENCE:

Law librarians and legal information professionals who are evaluating, piloting, or already using AI tools. Especially relevant for directors and managers deciding whether an AI agent is reliable enough for real work, and for anyone who suspects their information organization skills matter more in the AI era, not less. No technical background required.

TAKEAWAYS:

1. Distinguish context engineering from prompt engineering, and map the information organization skills librarians already use (classification, metadata, information architecture) to the work of making AI agents reliable.
2. Build a simple test rubric that shows whether an AI agent actually works, and reveals which failures context resolves and where a human still needs to stay in the loop.
3. Apply a progressive trust model to decide what an AI agent can see and do at each stage of adoption.

SPEAKERS:

• Courtney Toiaivao, Managing Director & Founder, Grey Letter Advisory

AALL BODY OF KNOWLEDGE DOMAINS:  Information Management, Management + Business Acumen

All AALL webinars include live captioning services.

The opinions shared during this program represent the views of the speakers and do not necessarily reflect those of the American Association of Law Libraries (AALL). Recording, capturing, or using AI tools to duplicate, transcribe, or otherwise reproduce an AALL program in any form is strictly prohibited without prior written consent from AALL. This includes, but is not limited to audio, video, or any other content shared. By attending an AALL program or accessing an AALL recording, you agree to adhere to this policy.

As AI becomes more embedded in legal research platforms, knowledge and research professionals are under increasing pressure to move quickly without compromising data security, professional responsibility, or quality. This session explores how law libraries can design and operationalize a repeatable, scalable assessment framework for GenAI-powered research tools that balances innovation with risk management.

This presentation will walk through a structured, stage‑gated assessment model covering pre‑scoping, technology and security review, risk assessment, and controlled user testing. Attendees will learn how vendor questionnaires and appropriate use guidance can be used to assess issues such as confidentiality, model training, jurisdictional variation, hallucination risk, and the role of human verification.

TARGET AUDIENCE:

Knowledge and research leaders and professionals involved in AI tool evaluation and rollout

TAKEAWAYS:

1. Key questions to ask vendors about data use, training, and regional deployment
2. Guidance on defining appropriate and responsible use for research GenAI tools
3. Steps for a repeatable GenAI research assessment workflow

SPEAKERS:

• Laura Maury, Manager, Research and Information Alerts, Baker McKenzie

AALL BODY OF KNOWLEDGE DOMAINS: Information Management, Management + Business Acumen

All AALL webinars include live captioning services.

The opinions shared during this program represent the views of the speakers and do not necessarily reflect those of the American Association of Law Libraries (AALL). Recording, capturing, or using AI tools to duplicate, transcribe, or otherwise reproduce an AALL program in any form is strictly prohibited without prior written consent from AALL. This includes, but is not limited to audio, video, or any other content shared. By attending an AALL program or accessing an AALL recording, you agree to adhere to this policy.

This session will feature two presentations centered around Implementing AI:  

• From Manuscript to Meaning: Using AI to Recover Mississippi Territorial Court Records
• Taxonomy as an AI Infrastructure

From Manuscript to Meaning: Using AI to Recover Mississippi Territorial Court Records

Early court records are among the most valuable sources documenting the development of American law.  Yet, they are often the least accessible.  Handwritten manuscripts, fading ink, archaic terminology, and limited indexing often make these records difficult to use.  Recent advances in AI offer new opportunities to make these materials more discoverable while preserving the critical role of human expertise.

This session presents a real-world case study of an ongoing project to transcribe, analyze, and interpret records of the Mississippi Territorial courts.  Using examples drawn from original court minute books, participants will see how AI tools can assist in deciphering handwritten documents, identifying legal concepts and historical figures, extracting structured information, and transforming manuscript text into usable research data.

The presentation will walk through the complete workflow, from digital image to verified transcription, and from transcription to historical and legal interpretation.  Examples will demonstrate how AI can support the identification of judges, attorneys, jurors, litigants, and criminal defendants; explain unfamiliar legal terminology; assist with legislative and judicial history research; and help connect individual court entries to broader historical narratives.

In addition to discussing successes, the session will candidly address limitations and challenges encountered during the project. Attendees will see examples of transcription errors, misidentified names, historical ambiguities, and situations where human review remains necessary.  The session will explore practical strategies for quality control, verification, and responsible use of AI in archival and legal information settings.

TARGET AUDIENCE:

This session is designed for law librarians, archivists, legal historians, and information professionals interested in applying AI to unique collections, historical records, and other nontraditional legal information resources.

TAKEAWAYS:

1. Describe how AI can be used to transform handwritten court records into searchable and usable legal information resources.
2. Implement strategies for verifying and improving the accuracy of AI-generated transcriptions and historical research outputs.

SPEAKER:

• Stephen Parks, State Librarian of Mississippi, State Law Library of Mississippi

AALL BODY OF KNOWLEDGE DOMAINS: Research + Analysis, Information Management

Taxonomy as an AI Infrastructure

AI work product tools are growing more popular in law firms, with a push from many to integrate the firm's document management system (DMS) into these tools. The quality of a firm's DMS taxonomy determines whether those tools function correctly. This session will cover a brief overview of DMS taxonomy, why proper classification must be addressed before AI integration begins, and how inconsistent classification can create both retrieval failures and unintended access to confidential documents. Attendees will also learn about free existing standards like SALI, so firms starting with zero taxonomy understand they do not have to build one from scratch. Those who attend will also understand the practical first steps to conduct a taxonomy audit. Research and KM professionals across firms, government agencies, and academic institutions will come away with actionable steps for improving classification as AI becomes more embedded in legal information systems. 

TARGET AUDIENCE:

Research and Knowledge Management professionals involved, or interested in becoming involved, in their organization's DMS administration and AI deployment.

TAKEAWAYS:

1. Understand why a proper DMS taxonomy is a prerequisite for AI work product tools to function effectively and safeguard sensitive firm information.
2. Know how to conduct a taxonomy audit and identify practical first steps for implementation, including awareness of free existing resources like the SALI Alliance standard.
3. Recognize taxonomy work as a strategic opportunity for research and KM professionals to articulate their value and role in AI deployment preparation to firm leadership.

SPEAKER:

• Emma Pettey, Research Services Specialist, Bradley Arant Boult Cummings

AALL BODY OF KNOWLEDGE DOMAINS:  Information Management

All AALL webinars include live captioning services.

The opinions shared during this program represent the views of the speakers and do not necessarily reflect those of the American Association of Law Libraries (AALL). Recording, capturing, or using AI tools to duplicate, transcribe, or otherwise reproduce an AALL program in any form is strictly prohibited without prior written consent from AALL. This includes, but is not limited to audio, video, or any other content shared. By attending an AALL program or accessing an AALL recording, you agree to adhere to this policy.