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 

PSLs are moving beyond maintaining precedents to creating knowledge solutions that improve legal delivery and client value. This session explores how technology, automation and practical know-how can transform traditional PSL expertise into scalable, accessible and client-focused services.

Why attend / Actions:

• Turn legal know-how into practical client-facing solutions
• Identify opportunities for automation and knowledge product development
• Connect PSL expertise with emerging legal technology
• Extend knowledge services beyond traditional precedent management

This session explores how law firms move from innovation strategy to practical adoption, embedding new technologies and ways of working into everyday legal delivery. Drawing on Linklaters’ experience, it examines how innovation teams collaborate with lawyers to turn promising ideas into scalable, client-focused solutions.

• Turning innovation strategy into practical legal solutions
• Embedding innovation within practice groups and lawyer workflows
• Moving beyond pilots to scalable, sustainable adoption
• Aligning technology, people and processes around client needs

As AI becomes embedded within legal practice, knowledge teams are increasingly responsible for translating technology into practical, trusted ways of working. Drawing on BCLP's experience, this session explores how knowledge, training and innovation functions can accelerate adoption, build confidence and embed AI into everyday legal workflows.

Why attend / Actions:

• Understand how knowledge teams accelerate AI adoption within practice groups.
• Design training programmes that drive confidence and sustainable behaviour change.
• Identify practical opportunities to embed AI into legal workflows.
• Balance innovation, wellbeing and professional judgement during transformation.

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