AI adoption in law firms is as much about mindset as technology. Drawing on her global role at we explore how firms can overcome fear, redefine lawyers’ roles, and build sustainable AI operating models that embed innovation into everyday legal work. 

• Why lawyer mindset matters more than technology adoption. 
• Addressing fears around jobs, expertise and professional identity. 
• Building sustainable AI models beyond pilots and experimentation. 
• Making AI capability part of every lawyer’s role. 

As AI becomes embedded in legal workflows, the role of knowledge teams is being reshaped. This session explores how KM leaders can move beyond content stewardship to become architects of trusted legal delivery systems. It addresses the tension between automation and professional judgement, the risk of KM being undervalued, and the need to upskill knowledge lawyers in AI and legal tech. It also examines how to embed verification and governance into AI-enabled workflows. 

• Redefine KM roles to lead AI-enabled legal delivery systems 
• Build verification layers into AI-generated legal workflows 
• Upskill knowledge lawyers faster than the wider firm 
• Demonstrate KM value to leadership in an AI-driven environment 

This hands-on session shows how to launch a small, safe Retrieval-Augmented Generation (RAG) pilot using curated content. Delegates will learn to select corpora, design prompts, set guardrails, and define success metrics. Librarians and PSLs will understand how high-integrity knowledge powers autonomous legal workflows while maintaining control and compliance. 

• Scope a RAG pilot using a narrow, curated corpus
• Define prompts, guardrails, and evaluation metrics 
• Ensure knowledge integrity and confidentiality
• Map content to practical, high-value workflows 

Learn how to convert static precedents and know-how into reusable “knowledge products” such as clause banks, guided workflows, or playbooks. Delegates will work on one of their own high-volume use cases to sketch a product spec, considering rollout, adoption, and integration into AI-assisted workflows. 

Package precedents and know-how as reusable products 

• Design product specifications for internal legal tools 
• Plan rollout and integration into workflows 
• Identify opportunities to accelerate autonomous or AI-assisted delivery

Agentic AI systems depend on far more than powerful models, they rely on structured, accessible institutional knowledge. This session explores how knowledge architecture, taxonomy, and data design determine whether autonomous legal systems operate safely and effectively. This session explains how firms must redesign knowledge environments so agents can retrieve, reason over, and act on firm information responsibly. The session focuses on practical design decisions that enable agents to work with firm knowledge while protecting confidentiality, accuracy, and institutional trust. 

• Why taxonomy and data architecture determine agent reliability and output integrity 
• Designing knowledge retrieval layers for autonomous legal workflows 
• Preventing hallucination and leakage through structured institutional memory 
• Preparing KM, DMS, and knowledge teams for agent-enabled practice

As generative AI becomes embedded in legal delivery, knowledge lawyers are increasingly shaping how the technology works in practice. This session explores how PSLs are designing and testing real workflows using tools moving beyond precedent banks toward AI-assisted drafting, research and matter support. 

• See how PSLs are designing AI-enabled legal workflows 
• Identify where lawyers should train AI and where AI supports lawyers 
• Understand how KM content supports AI-assisted work 
• Take away practical ideas to accelerate AI adoption in practice teams

As law firms deploy tools such as Harvey AI and Microsoft Copilot, knowledge teams are increasingly responsible for shaping how these systems are used in practice. This session explores how KM leaders are piloting AI tools, designing training programmes, and managing relationships with AI suppliers while maintaining professional standards. 

The discussion will also examine how firms keep legal knowledge current in an AI environment where regulatory and legislative updates must flow continuously into workflows. Panellists will reflect on lessons from early deployments, the importance of clear use cases, and emerging considerations such as AI’s environmental footprint.

• Design effective AI training for lawyers and KM teams  
• Identify practical use cases for generative AI in legal work  
• Understand governance and supplier management for AI tools  
• Explore how firms keep legal knowledge current in AI-driven workflows

As law firms deploy tools such as Harvey AI and Microsoft Copilot, knowledge teams are increasingly responsible for shaping how these systems are used in practice. This session explores how KM leaders are piloting AI tools, designing training programmes, and managing relationships with AI suppliers while maintaining professional standards. 

The discussion will also examine how firms keep legal knowledge current in an AI environment where regulatory and legislative updates must flow continuously into workflows. Panellists will reflect on lessons from early deployments, the importance of clear use cases, and emerging considerations such as AI’s environmental footprint. 

• Design effective AI training for lawyers and KM teams  
• Identify practical use cases for generative AI in legal work  
• Understand governance and supplier management for AI tools  
• Explore how firms keep legal knowledge current in AI-driven workflows