To what extent is the ascendance of AI reshaping the Knowledge Management function and law firm operations?  

 In this fireside chat, Meredith Williams-Range (Chief Legal Operations Officer at Gibson, Dunn & Crutcher LLP) and Ted Theodoropoulos (CEO at Infodash), will explore how AI is forcing a reimagining of organizational design and leadership dynamics, offering a candid look into how Meredith and her team are reshaping the very DNA of the firm's operational strategy.  

Meredith has a well-honed strategic vision for delivering high-value IT initiatives that drive competitive advantage.  Drawing on her experience spearheading transformation initiatives at Baker Donelson, Shearman & Sterling, and now at Gibson Dunn, this fireside chat will provide a candid view at how the firm is aligning talent and technology with strategic goals to build a cohesive framework poised to redefine conventional operational paradigms.   

Learn how the firm is navigating cultural and organizational tensions that can arise when AI experimentation challenges traditional structures – exploring why failure is a critical driver of innovation and how KM and Innovation teams are likely to further evolve alongside emerging AI capabilities. 

As law firms embrace the transformative potential of AI, the advent of agentic AI presents an opportunity to rethink workflows, roles, and the relationship between knowledge and action. In this thought-provoking session, Dr. Megan Ma and Ilona Logvinova will explore what agentic workflows mean in practice, and how agents can be set up to augment the work we do today through verticalized tasks. Beyond that, multiple agents can work in teams and be overseen by a supervisory agent, who is then overseen by a human employee – activating a truly hybrid workforce.

What does it take to build and equip these agents? Where does the human-machine collaboration succeed or falter?   

This discussion will highlight the impacts of AI agents on legal workflows, highlighting the challenges in bridging the translation gap, aligning action with human intent, and what successful oversight looks like.  

Join us as we navigate uncharted territory, exploring a new framework for human-machine collaboration and how agents represent the next step in a law firm’s AI evolution—moving beyond copilots to active collaborators. 

As the legal profession faces a wave of rapid technological transformation, the opportunity to align talent development with emerging knowledge strategies has never been greater. In this session, Caitlin Vaughn, Managing Director of Learning & Professional Development, and Anne Stemlar, Managing Director of Knowledge & Innovation Strategy, will share how Goodwin is bridging the gap between knowledge management/innovation and professional development to teach crucial innovation and technology skills and foster a culture of adaptability and continuous improvement. 

Drawing from Goodwin’s 10-Year Strategic Plan, Caitlin and Anne will discuss innovative approaches to associate training (including their 9-week onboarding program and Client Immersion initiatives). They’ll explore how law firms can equip junior attorneys with the skills to thrive in a rapidly evolving environment, bridging generational gaps and aligning talent development with the roadmap to the firm’s AI-enabled future. Join us to discover how professional development and KM can collaborate to redefine success in the legal profession during a time of unparalleled change. 

Search is evolving—fast. 

The traditional search box is no longer enough in a world where AI is redefining how law firms access and use knowledge. Lawyers now expect answers, not just results—and the technology powering modern search must bridge the gap between human intent and precise, actionable insights. 

In this dynamic discussion, some of the brightest and most technically informed minds in legal technology will take the stage—not as vendors, but as architects of the future search experience. These are the professionals designing and deploying AI-powered search tools that lawyers and KM professionals rely on daily to drive efficiency, accuracy, and strategic decision-making. 

Drawing from Goodwin’s 10-Year Strategic Plan, Caitlin and Anne will discuss innovative approaches to associate training (including their 9-week onboarding program and Client Immersion initiatives). They’ll explore how law firms can equip junior attorneys with the skills to thrive in a rapidly evolving environment, bridging generational gaps and aligning talent development with the roadmap to the firm’s AI-enabled future. Join us to discover how professional development and KM can collaborate to redefine success in the legal profession during a time of unparalleled change. 

Join us as we explore: 

• The shift from “pulling” search results to “pushing” actionable insights directly into attorney workflows. 
• How AI, information architecture, and human expertise intersect to enrich content, maintain authority, and eliminate search “noise.” 
• The future of embedded search—from DMS platforms to intranet systems and beyond - blurring the lines between where knowledge lives and how it's accessed. 

 Bring your toughest search challenges and questions to this panel and discover how emerging search technology is reshaping how firms organize, retrieve, and apply knowledge—faster, smarter, and with more precision than ever before. 

In a world where organized and structured data is emerging as a competitive differentiator, law firms must rethink their approach to knowledge management. 

If law firms hope to leverage their unique data assets to set themselves apart, they will need to balance immediate operational needs with longer-term AI readiness. Without the necessary foundational effort of capturing, curating, organizing, and structuring data, even the most advanced AI tools will fail to deliver meaningful results. Learn how Paul Hastings [and Additional Firm] have been strategically investing in this essential KM groundwork and leveraging advanced technology to transform their KM ecosystems, including the use of AI to create essential structured datasets.  

This discussion will examine how firms are building modern, AI-driven KM programs by focusing on: 

• the pivotal role of knowledge professionals in setting the stage, 
• the importance of sequencing when layering AI tools over carefully organized and structured data, and 
• the cautious integration of advanced technology empowering automation, extraction, insight generation, enhanced workflows, better user experiences, and AI-driven efficiencies.  

The traditional role of law firm KM is evolving—moving beyond pure practice support into a more strategic function that directly impacts firm profitability, operational efficiency, and competitive differentiation. Nowhere is this shift more apparent than in the rapidly changing world of legal pricing, where AI tools and advanced analytics are redefining how firms assess value, structure engagements, and manage profitability. 

As firms grapple with AI’s implications on billable work, matter margins, and alternative fee arrangements, KM professionals are increasingly pulled into the pricing conversation—whether by design or necessity. This session will explore how KM and Innovation teams can help pricing professionals aggregate and analyze historical matter data, build smarter pricing models, and create data-driven playbooks that enhance both firm strategy and client value. 

How are firms approaching “AI charge-backs” for the use of emerging tools in legal work? Where do pricing teams need more data to drive well-informed strategy? And what does “smart pricing” look like when it is enabled by the full breadth of a firm’s collective knowledge and experience? 

Join us for this discussion as we examine how the intersection of KM, AI, and pricing strategy is reshaping law firm business models—and why the firms that unlock their data’s full potential will be the ones that thrive. 

As the “everything department” within law firms, KM teams today are inundated with assessing a vast array of emerging AI tools and technologies. We are tasked with bridging the gap between AI hype and tangible results, managing vendor relationships, balancing skepticism and excitement, all while surfacing opportunities for practical innovation that drives both lawyer-facing and client-facing value.  

With pilot fatigue setting in this year, how do KM professionals balance their “day jobs” and immediate operational needs with the prioritization, vetting, and education around tools and platforms that promise to fortify the firm’s longer-term AI readiness? 

Within this new reality the opportunities are many. From public GPTs for non-sensitive work – to private LLMs backed into existing products – to open-source AI opportunities, each necessitating policy work and training, ROI considerations, pilot projects, and a playbook to help determine when to pivot, scale, or abandon efforts.   

This emerging AI landscape also impacts the evolving relationship between KM and IT, blurring what were once traditional boundaries. How are KM and IT teams redefining ownership, leadership, and collaboration in support of these shared goals?  

This dynamic discussion will explore how we are balancing KM’s primary (traditional) remit with (in some cases) greatly expanded roles—piloting and scaling AI projects across various practices, overcoming adoption barriers, building data readiness, reimagining workflows, aligning KM and IT teams, all while developing a roadmap for change (and then often leading those change initiatives).   

How are your peers navigating AI overload and keeping their teams engaged and focused while coming to grips with this new reality?