Day 1 Agenda

Managing legal and compliance across multiple jurisdictions is becoming increasingly complex as regulatory requirements evolve at different speeds and in different directions. Geopolitical tension, localization trends and diverging standards mean that what is acceptable in one country may be restricted, or even prohibited, in another. As organizations push for growth in new markets while facing heightened enforcement and scrutiny, legal teams must rethink how they combine global frameworks with credible local expertise to stay compliant, protect the business and move quickly.

• Strengthen your navigation by understanding how leading organizations monitor geopolitical and regulatory change across multiple jurisdictions
• Set the right course by comparing operating models for allocating work between global teams, local counsel, ALSPs, and technology
• Keep a steady heading by designing governance frameworks that balance global consistency with local expertise
• Navigate competing rules by exploring how organizations determine when to apply global standards and when jurisdiction-specific approaches are required

Compliance teams generate valuable data across incidents, controls, training, third-party oversight, and regulatory change. Yet too often, these insights remain within reporting cycles rather than shaping business strategy. By treating compliance data as a strategic navigation instrument, organizations can help leaders chart a confident course through complexity, turning insights into better decisions, stronger controls, and smarter business outcomes.

• Plot your course by identifying which compliance data provides the most meaningful intelligence for executive decision making
• Steer strategic decisions by exploring how compliance insights can influence product design, market expansion, third-party relationships, and investment priorities. 
• Strengthen your bridge by building the governance, partnerships, and capabilities that position compliance as a strategic adviser to the business rather than a reporting function

As markets become more interconnected and business moves faster, counterparty risk can shift quickly from a manageable concern to a significant exposure. Evolving sanctions regimes, complex ownership structures, and increasing AML expectations mean traditional point-in-time checks are no longer enough. Organizations need dynamic, intelligence led approaches that help teams identify emerging risks, make confident decisions, and maintain momentum without slowing business growth.

• Read emerging signals by exploring how dynamic monitoring, data sources, and risk triggers can identify issues before they escalate
• Strengthen decision pathways by clarifying roles and accountability across legal, compliance, risk, and business teams when concerns arise
• Embed risk awareness by integrating counterparty considerations into everyday business decisions rather than treating controls as a separate process

Teams are under relentless pressure to respond faster, navigate growing complexity, and give business partners clear, usable advice, all without sacrificing standards or increasing risk. AI is rapidly becoming part of that toolkit, helping to triage work, draft and refine documents, surface issues sooner, and support decision making across functions. The opportunity is significant, but so are the risks when outputs go unchecked, context is thin, or usage is inconsistent across the department. Today, practical, trustworthy AI in legal work depends less on clever prompts and more on disciplined habits, clear guardrails, and repeatable workflows that can be shared, audited, and continuously improved.

• Master the instruments by learning how to frame instructions, constraints, and context so AI delivers accurate and defensible outputs
• Create reliable routes by applying repeatable AI workflows across high-volume activities such as contract review, issue spotting, drafting, and stakeholder communications
• Build a trusted navigation system by turning individual experiments into shared playbooks that maintain quality, control, and continuous improvement

For many in-house teams, data privacy is no longer a one off project but the constant backdrop to everything else: third-party oversight, internal investigations, AI and cyber initiatives, and cross-border operations. The work is often owned by small, stretched teams facing shifting regulations, opaque vendor practices and aggressive AI roadmaps. Real progress increasingly depends on prioritizing the highest risk data, vendors and jurisdictions, coordinating closely with cyber, investigations and commercial teams, and pushing for meaningful transparency and controls from technology providers, so organizations can reduce risk, keep regulators onside and preserve trust with customers and employees.

• Map the risk landscape by identifying and prioritizing the data, vendors, and jurisdictions that require the greatest focus
• Connect the crew by aligning privacy, cyber, investigations, and commercial teams to respond consistently to emerging challenges
• Demonstrate the value of the journey by turning privacy insights into a credible strategic narrative for boards and executives

As AI governance enters a more mature phase, the conversation is shifting from implementation to oversight, accountability and resilience. As regulatory expectations evolve and AI becomes embedded in business-critical processes, organizations need governance frameworks that can adapt to changing requirements while maintaining trust, control and business value. From defining ownership and strengthening vendor governance to establishing data guardrails and meaningful measures of success, the focus is now on what effective AI governance looks like in practice.

• Establish effective foundations by examining practical approaches to ownership, vendor governance, data guardrails, and control frameworks that support responsible AI
• Measure what matters by exploring how leading organizations asses AI governance through indicators of assurance, performance, and risk
• Build long-term resilience by developing governance frameworks that can adapt as AI capabilities, business priorities, and regulatory expectations continue to evolve

Choose your crew, share experiences, and build relationships with fellow leaders across legal, compliance, risk, and governance. Whether you are exploring AI, strengthening governance, managing change, or building trust, find the people who can help you exchange ideas and shape what comes next.

Legal functions are operating in an environment defined by sustained uncertainty, where economic pressure, geopolitical volatility and regulatory complexity are creating new challenges for business decision-making. Across industries, legal teams are reassessing how they allocate resources, balance competing priorities and strengthen their partnership with the wider organization. Success now depends on the ability to adapt quickly and the need to evolve operating models, flex capacity, deploy technology at pace and develop new capabilities so legal can remain an agile, influential and forward-looking function.

• Adapt to changing conditions by exploring how legal teams are evolving operating models, technology investments, and talent strategies 
• Build greater flexibility by examining practical approaches such as flexible resourcing, prioritization frameworks, and rapid response models for urgent business needs
• Embed agility into the function by identifying the capabilities, behaviors, and ways of working that enable legal teams to respond effectively