London International Disputes Week 2024

This session brought together leading experts to discuss the evolving landscape of ESG disputes. Co-hosted  with 3 Verulam Buildings, the session provided insights into the drivers, risks, and future trends of ESG litigation.

1. Growing Importance and Drivers of ESG Disputes:

• Public and Regulatory Pressure: The rise in ESG disputes is largely driven by increased public awareness and interest in corporate accountability, particularly regarding climate change, environmental practices, and labour standards. This is coupled with a wave of new regulations in Europe and globally, requiring companies to enhance transparency and compliance in their ESG reporting.

• Media Influence: The role of social media and fast-paced news cycles has amplified the impact of corporate actions on public perception and litigation risks. Negative incidents can quickly become global news, increasing the likelihood of disputes.

2. Types of ESG Disputes:

• Parent Company Liability: Companies are increasingly facing claims for the actions of their subsidiaries, especially where regulatory frameworks hold parent companies accountable for the conduct of their entire corporate group.

• Value Chain Liability: Claims related to the actions of a company's suppliers or downstream business relationship firms are on the rise, reflecting increasing expectations on companies to take responsibility for those within their value chains.

• Directors' Liability: There have been derivative actions and claims against directors for decisions that negatively impact ESG factors. This includes strategic business decisions that are said to inadequately take account of commercial risks posed to businesses, for example by climate change.

• Human Rights and Business Practices: Claims related to human rights violations and unethical business practices are on the rise, reflecting heightened expectations for corporate behaviour and adherence to international standards.

• Representative and Group Actions: Existing procedural mechanisms are being deployed and can make it easier for large groups of claimants to pursue collective redress for ESG-related grievances, increasing the litigation exposure for companies.

• Securities Litigation: Existing mechanisms under the FSMA regime are being deployed for claims arising from misstatements by public companies, including statements about compliance with ESG standards.

3. Litigation Risk and Management:

• Commercial Perspective: Panellists emphasised the need for companies to approach ESG from a commercial standpoint, recognizing that robust ESG practices are essential not only for compliance but also for mitigating litigation and regulatory enforcement risks and protecting corporate reputation.

• Role of Litigation Funders: The discussion highlighted the crucial role of litigation funders in supporting ESG disputes. These funders provide financial backing and strategic support, enabling claimants to pursue complex and resource-intensive cases.

• Panellists also discussed novel sources of funding and approaches by activist organisations, particularly for cases in which a non-monetary outcome is sought.

4. Case Studies and Real-World Examples:

• Prominent ESG Litigation: The panel discussed notable cases, such as the Client Earth litigation, which is an example of a novel use of existing legal mechanisms to pursue ESG and other outcomes. These cases demonstrate the potential for significant financial and reputational impacts on companies that fail to meet ESG standards, whether external (by way of regulation) or self-imposed (by way of published company statements or strategies).

• Shared Objectives of Stakeholders: Both claimants and defendants share a common interest in addressing ESG issues proactively, not least to avoid litigation as public awareness and interest shifts. Effective ESG management is seen as crucial for long-term business sustainability and risk mitigation.

Speakers included: Emily Blower, Peter de Verneuil Smith KC, Frances Gourdie, Judy Fu and Matthew Amey.

For those who missed the webinar or wish to revisit the discussion, you can watch on-demand here.

The "AI in the Afternoon" event, part of London International Disputes Week, brought together experts from Simmons & Simmons, Therme Group, and TrialView to discuss the practicalities of AI adoption in law firms. The discussions focused on AI's transformative potential, practical strategies for implementation, and strategies for its adoption.

1. Current AI Tools for Legal Practice

• Custom LLMs: Law firms are implementing large language models (LLMs), and examining how to use them for legal tasks, implementing them in ways with more control and security compared to publicly available AI tools like ChatGPT. These internal implementations of these models are designed to address the specific needs of legal professionals, ensuring appropriate use and confidentiality.
• Integrated AI in Existing Software: AI functionalities are being incorporated into widely used tools like Microsoft Office (using Copilot), enhancing efficiency in tasks such as email drafting, generating starting points for documents in word or presentations in powerpoint, translations, search and data analysis.
• Generative AI for Research: Legal knowledge providers are integrating AI to streamline research processes, allowing lawyers to generate comprehensive and grounded responses to prompts and to produce initial drafts of legal documents quickly.
• Specialised AI Applications: AI is increasingly utilised in specialist areas such as e-Discovery and document management, significantly reducing the time required for reviewing and organizing large volumes of documents.

2. Practical Applications of AI in Legal Work

• Summarisation: AI tools can generate first drafts of document summaries, aiding lawyers in quickly understanding and conveying complex information to clients.

• Data Extraction: AI can be used to extract key information from long documents, and produce it in useful formats (e.g. chronologies, dramatis personae).

• Content Evaluation: AI assists in comparing and analysing semantic differences between legal documents, such as witness statements, and identifying inconsistencies or areas of concern.

• Document Management: Advanced AI applications facilitate efficient management and retrieval of information from large datasets, using natural language queries to provide answers more quickly, and with references cited where techniques like Retrieval Augmented Generation are used.

3. Security and Confidentiality Concerns

A major focus of the discussion was on the importance of maintaining security and confidentiality when using AI in legal contexts. Custom implementations solutions are essential to ensure that sensitive legal data is handled appropriately, mitigating many of the risks associated with general AI tools.

4. AI Adoption Strategies

Adopting AI in legal practice requires a strategic approach. Law firms must:

• Start with AI Literacy: progress and sensible decisions will only be possible with a good level of understanding of how the technology works, the risks and available mitigations

• Define Clear Objectives: Identify specific goals and challenges that AI can address before implementation.

• Leverage Existing Knowledge: Apply lessons from past technology adoptions to streamline AI integration.

• Balance Innovation and Caution: Avoid rushing into AI adoption without thorough planning and understanding of its implications.

5. Implications of AI Adoption

The potential impacts of AI on legal practice are significant:

• Pricing Models: As AI automates more tasks, clients may come to expect outcome-based pricing models, and law firms may need to find ways to recover technology investment costs. The billable hour was justifiable when it was hard otherwise to find a basis for charging and measure the work done but now pricing for legal services will have to evolve.

• Skill Sets: New expertise will be required, both by upskilling existing lawyers and hiring new talent with relevant skills.

• Risk Appetite: Firms must balance cost efficiencies with risk management, aligning client expectations with realistic service delivery.

• Market Differentiation: Larger firms may benefit from scale in investing in AI, while smaller firms might leverage agility for faster adoption. Firms with deep knowledge assets could create barriers to entry for others, solidifying client relationships.

• Competitive Edge: The knowledge of 'the law' is already an assumed baseline. Quality of service, encompassing speed, efficiency, and commercial awareness, will drive competition.

6. Skills and Team Structure for Effective AI Use

Successful AI adoption depends on multidisciplinary teams that combine legal expertise with technological proficiency. Essential skills include:

• Technical Literacy: Basic understanding of AI tools and their applications in legal work.

• Data Science Knowledge: Ability to analyse and interpret data generated by AI tools.

• Project Management: Effective coordination and management of AI projects to ensure they meet legal and business objectives.

Speakers included: Emily Monastiriotis, Jonathan Schuman, Stephen Dowling, Nicholas Cranfield and Eimear McCann

This session brought together a distinguished panel of experts to share their extensive experience in dealing with class actions, including trials they have worked on and the class action claims they are currently handling.

Current landscape of class actions in the UK

The discussion began with an overview of the current state of class actions in the UK. It was noted that class actions are on the rise in the UK and the EU, and there is a need for lawyers to stay updated on best practices for managing risk and ensuring compliance in this shifting legal landscape.

Role of data providers in class actions

The role of data providers in class actions was discussed. The importance of impartiality when it comes to data providers and the need for specific expertise in handling big data challenges were highlighted. The potential for a more factual witness approach was also suggested, indicating that data providers could testify to technical points around data collection and encryption.

Managing large teams in class actions

Strategies for managing large teams involved in class actions were shared. The importance of setting up project managers from the beginning, both internally and externally, was emphasized. This helps manage the various parties involved and the associated costs. The suggestion of having an internal project manager to liaise between internal data teams and external data consultants was also made, which can help bridge the gap between different areas of expertise.

Key takeaways for lawyers preparing to defend class action claims

The panel concluded with key takeaways for lawyers preparing to defend class action claims. The importance of establishing a framework for scoping and preservation purposes, including identifying the right stakeholders and ensuring the defensibility of the process, was emphasized. Being prepared for the increasing number of claims and being ready to mobilize quickly was also advised. The importance of involving experts early in the process to help with strategy and risk assessment was stressed. The need for effective project management was highlighted, suggesting that having someone to manage the project allows the internal counsel to focus on the legal aspects.

Conclusion

The event provided valuable insights into the complexities of defending class action claims and offered practical strategies for lawyers navigating this challenging area of law. The key takeaways underscore the need for preparedness, effective team management, and strategic use of data in defending class action claims.

Speakers included: Eleanore Di Claudio, Erica Albertson, Jason Keenan, Michael Weekes, and Emily Wesley.