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P E E R T O P E E R M A G A Z I N E · S U M M E R 2 0 2 5 55 NAVNEET KAUR is a data engineer with ten years of experience driving data analysis, project management, and digital transformation initiatives in the financial services sector and now the legal sector. She has led cross-functional teams driving data quality, process improvements, and cost-saving projects using tools like Denodo, Informatica, and Agile methodologies. Navneet is also a recognized leader in inclusion, innovation, and employee development. be an employee inquiring about another's salary information or requesting timecard narratives that they are unable to view. THE ROAD AHEAD Imagine a partner preparing for a meeting with a key client. With PC Chat, the partner can do much more than retrieve past matters and billing history. PC Chat proactively flags underutilized cross-practice opportunities, drafts a tailored briefing note, and seamlessly syncs it with the CRM. These capabilities extend well beyond basic data retrieval, empowering partners to plan strategically, enhance marketing efforts, and automate routine tasks. As the workforce evolves to include more Generation Z and millennial professionals, law firms must adopt technologies that enable these professionals to thrive. GenAI is a critical component of this transformation. According to Deloitte's 2025 Gen Z and Millennial Survey, "Three quarters of Gen Zs (74%) and millennials believe GenAI will impact the way they work within the next year" (Deloitte Global, 2025). Embracing such technology is essential for firms that want to remain competitive and support the next generation of legal talent. While every SaaS solution provider now offers its own version of a chatbot, these applications are often not well integrated with other systems within the firm. This lack of integration can result in significant time and cost investments, with tangible benefits usually delayed for months. In contrast, PC Chat's underlying data virtualization platform seamlessly connects disparate data sources, building a robust semantic model that can be leveraged firm-wide and unlocking value across countless use cases. Rather than adopting fragmented solutions for each need, firms should prioritize platforms that unify the user experience across all applications, maximizing efficiency and return on investment. CONCLUSION In many ways, AI in legal tech today mirrors the early internet with vast potential, frequent skepticism, and the occasional misstep. However, just as search engines revolutionized access to public knowledge, conversational AI is transforming how we interact with institutional data. Competing firms that thoughtfully and responsibly adopt these tools will enhance their internal operations while redefining the boundaries of legal service delivery. How might your team rethink collaboration if you had a trusted AI assistant who truly understood your data? The possibilities are just beginning.

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