P2P

50 LEIGH ZEISER Leigh Zeiser is Director of AI & Automation at Troutman Pepper Locke, where she focuses on advancing the firm's innovation strategy through practical, responsible use of artificial intelligence and automation. She works closely with knowledge management, technology, and practice teams to move AI initiatives from experimentation to scalable, firmwide capabilities that improve how lawyers work. Leigh brings a pragmatic, user-centered approach to building and operationalizing emerging technologies across the firm. CARRIE REMHOF Carrie Remhof is Director of Firm Intelligence at Troutman Pepper Locke, where she leads the firm's strategy for experience data, knowledge assets, and AI-ready information foundations. Working at the intersection of innovation, knowledge management, and business development, she focuses on transforming validated firm data into practical tools that help lawyers staff matters, develop pitches, and surface expertise more efficiently. Carrie brings a pragmatic, attorney-focused approach to building scalable intelligence platforms that support responsible adoption of emerging technologies. precision that scaling a multi- capability platform demands. As Tiffany R. Jenkins, Director of Research Services at Troutman Pepper Locke, explains: "Attorneys don't think in terms of publishers or platforms. They think in terms of questions that need answers. When a lawyer is in the middle of drafting a brief or advising a client, the last thing they should be concerned with is which database holds the relevant content or how to navigate between systems to find it. AI gives us the opportunity to dissolve that friction." Jenkins sees the integration as part of a longer arc. Legal research moved from physical books on shelves to large terminals housed in the library to online databases accessible from any desk. Each transition brought the right information closer to the moment of need. "Integrating content across platforms through AI is simply where that progression leads us," Jenkins notes, "and it's where our users already expect us to be." Any capability is only as good as the data behind it. Consider the Experience Connect skill. Stale bios, incomplete matter records, and outdated experience entries erode trust quickly, and this challenge is not unique to law firms. As Forbes reported in its 2025 article "Garbage In, Garbage Out? Trust In The Data Behind AI Is Vanishing," a Salesforce survey of 552 business leaders found that confidence in organizational data is declining across the board. Only 40% of respondents said they trust the reliability of their company's data, down from 54% in a similar 2023 survey. Just 41% considered their data relevant, compared to 50% two years earlier. And a mere 36% believed their data to be accurate, a sharp drop from 49% in 2023. For a law firm building an AI-powered expertise-finding capability, these trends are a direct warning. If the underlying experience records, attorney bios, and matter histories are incomplete or out of date, the assistant's answers will reflect those gaps, and attorneys will stop trusting it. Maintaining data quality requires knowledge management and governance practices that include regular review cycles, clear ownership of data entry, and automated checks for completeness. These responsibilities extend well beyond the AI team and into the daily habits of the firm. Experience Connect makes maturity visible because expertise finding is often the first place trust breaks down if routing is imprecise, data is stale, or feedback is ignored. Adoption may signal interest, but sustained trust is built by capturing structured feedback on relevance and accuracy, then feeding it back into routing logic, data curation, and response quality.

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