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58 P E E R T O P E E R : I L T A ' S Q U A R T E R L Y M A G A Z I N E | S P R I N G 2 0 2 4 6. Technology infrastructure evaluation: Assess and upgrade technology infrastructure to support IG and AI needs, focusing on solutions that enhance data storage, processing, and security. 7. Compliance and privacy framework: Ensure the IG framework aligns with relevant legal and regulatory requirements, incorporating mechanisms for data protection, ethical AI use, and client confidentiality. 8. Training and awareness: Roll out comprehensive training programs to ensure all staff understand their roles in information governance and how it supports AI initiatives. 9. Implementation and monitoring: Implement the IG framework, closely monitoring its effectiveness and adjusting as needed. Use feedback mechanisms to improve data practices continuously. 10. Review and adaptation: Regularly review the framework considering evolving legal requirements, technological advancements, and AI applications, adapting policies and practices to maintain effectiveness and compliance. Measuring the impact of information governance on AI performance Firms can quantify the effect of their IG practices on AI effectiveness through metrics such as decision-making speed, accuracy, and client satisfaction. • Data quality metrics: These metrics assess the accuracy, completeness, and consistency of data sets used by AI systems. Higher-quality data directly contributes to the effectiveness of AI algorithms, resulting in more reliable predictions and analyses. By tracking improvements in data quality pre- and post-IG implementation, firms can correlate these enhancements with increased AI performance. • Operational efficiency: Evaluate the reduction in time and resources required for data management tasks, such as data cleaning and integration, after improving IG practices. Enhanced operational efficiency reduces costs and frees up resources that can be redirected toward more strategic AI initiatives. • Risk mitigation metrics: Measure decreased data breaches, compliance violations, and privacy incidents because of strengthened IG. Demonstrating a direct link between IG and reduced risk can underscore the value of IG in supporting secure and ethical AI applications. • Innovation and adaptability: Assess how effective IG practices facilitate the adoption of new AI technologies and methodologies. By ensuring that data is well-governed, firms can more rapidly integrate emerging AI tools and approaches, maintaining their competitive edge in the legal industry. Overcoming challenges in aligning information governance with AI goals Integrating AI requires aligning information governance policies with AI goals, a process that often encounters several obstacles. These challenges can range from cultural resistance to technological limitations. Recognizing and addressing these issues is a valuable exercise for law firms aiming to harness the power of AI effectively. Below are some common obstacles, along with a brief description of each challenge, its impact on aligning IG with AI F E A T U R E S

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