Corporate Transactions
Professional Legal Services
Full Credential Description
Microsoft's Corporate, External, and Legal Affairs (CELA) team faced significant challenges in managing regulatory compliance across various jurisdictions. The manual effort required to review regulations, assess their alignment with Microsoft policy, and communicate advice to stakeholders was substantial. Recognizing the potential of generative AI (GenAI) to alleviate this burden, CELA sought to fast-track the deployment of AI-driven solutions that would enhance their compliance, advisory, and transactional . To address these challenges, Microsoft engaged EY Law teams to collaborate on developing a tailored solution. This involved assembling a multidisciplinary team of professionals skilled in advanced technology, AI policy, and legal operations. An intensive two-day workshop was conducted to align on data strategy, privacy, and legal business needs, incorporating feedback from CELA to ensure the solution met end-user requirements. The outcome was the development of an AI tool integrated with the EY Global Tax Platform, designed to automate and improve regulatory compliance tasks. The implementation of this GenAI solution yielded quantifiable benefits. The tool significantly reduced the time required for CELA lawyers to comprehend new regulations, transforming tasks that previously took hours into processes that could be completed in minutes. Key capabilities included summarizing regulations, drafting implementation guidance, and comparing Microsoft policy against new regulations. This automation allowed lawyers to focus on analyzing the implications of regulations rather than getting bogged down in manual tasks. Over four months of development, the teams maintained a growth mindset, iterating rapidly based on user feedback, which bolstered confidence in the GenAI adoption across CELA. Ultimately, the collaboration between Microsoft and EY Law not only streamlined regulatory compliance processes but also established a scalable framework for future AI-driven initiatives within the legal department. This approach is seen as a potential blueprint for other organizations looking to enhance their legal operations through technology.
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