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Many organisations are not content to simply keep pace with technological change, and they are looking to their legal counsels for guidance on safely embedding AI use into business culture and practices.
This whitepaper explores how in-house counsels can take the lead on AI strategy and help their organisations create an AI governance framework that drives innovation and delivers real value to the business.
True innovation is an important competitive advantage for any organisation. In this brave new world, legal leaders are uniquely positioned to ensure their boards and executives safely and responsibly leverage AI across their business. The advancement and adoption of artificial intelligence (AI) technology by organisations is rapidly revolutionising the world of work and the human experience. At an organisational level, AI is transforming how organisations operate, innovate, and compete. However, its use raises significant legal, ethical, and reputational risks, especially as local and global regulators move towards stricter standards, regulations, and laws around the use, development, and deployment of AI.
In this context, in-house counsels are uniquely placed to take the lead on AI governance, due to their cross-functional understanding of risk, compliance, and regulatory trends. Taking the lead also involves working with boards to implement an effective AI strategy that is safe, responsible, and based on human-centric values.
AI governance is not just a technical issue—it is fundamentally about human judgment, accountability, and corporate values. Establishing a strong AI governance framework is essential for ensuring responsible, compliant, and trusted use of AI across the business.
Beyond compliance, strong AI governance supports innovation by creating a trusted environment in which executives can use AI with confidence. Legal counsel’s leadership in this space positions it not just as a gatekeeper but as a strategic advisor, enabling the business to move faster.Harnessing the competitive gains offered by AI innovation involves a multidisciplinary approach, which is an important component of the innovation process, as it connects pain points to the right outcome.