Generative AI for Legal

Implement robust governance structures that encompass risk management, data transparency, and human oversight.

Conduct thorough assessments of AI risk classifications and maintain a comprehensive inventory of AI assets to identify and mitigate potential risks.

Ensure that AI systems are accurate and secure, implementing necessary cybersecurity measures to protect data and operations.

Maintain high standards through quality management systems (QMS) that oversee the entire AI lifecycle.

Conduct impact assessments to evaluate the effects of AI systems on fundamental rights, ensuring they align with ethical and legal standards.

Clearly define the roles and responsibilities of each operator involved in the AI deployment process.

Design and build an inventory system. Use this system to log the AIs that your organization utilizes and their ownership.

The EU AI Act and General Data Protection Regulation (GDPR) are quite similar; your organization can implement the EU AI Act efficiently by aligning your EU AI Act and GDPR activities.

With so many details and timelines from regulations, we can help you create a roadmap for AI implementation.

With our deep knowledge and multidisciplinary approach, we provide robust governance, risk management, and strategic guidance to align regulatory compliance with your business goals.

Support legal teams in developing their AI strategies and roadmaps. This includes developing right-sized program governance, articulating the use case lifecycle, and developing a balanced portfolio of AI initiatives – sequenced into an actionable roadmap – that comprises both quick-wins and more strategic, longer-term plays.

Identify and prioritize legal AI use cases using a tried and tested methodology. This involves robust scoring mechanisms that quantify potential impact and articulate use case value, ensuring efforts are focused on areas that deliver ROI at scale.

Develop compelling business cases for investment in AI tooling and wider initiatives that incorporate and quantify both hard and soft benefits for demonstrable ROI.

Select appropriate AI tools by navigating the complex AI tool landscape, considering both enterprise and legal domain-specific solutions. Design and run accelerated, impactful proofs of concept (POCs) with clear success criteria to quickly drive tooling decisions.

Implement AI tools effectively within legal functions, focusing on seamless integration into legal workflows. Accompany this with comprehensive and sustained user adoption programs, including tailored training for legal work that reflects different legal personas and practice area needs.

Lead the development and implementation of training programs to ensure employees understand the risks and opportunities associated with AI. Promote AI literacy to help employees understand the ethical implications, operational procedures, and compliance requirements associated with AI.