Recognitions Highlight Firm’s Generative AI Innovations Transforming Knowledge Management, Collaboration, and E-Discovery Workflows

NEW YORK – Troutman Pepper Locke earned top honors at the Legalweek Leaders in Tech Law Awards, winning Innovations in Knowledge Management for its generative AI tool Experience Connect. In addition, Troutman eMerge was recognized as a finalist in two categories: E-Discovery Technology and Innovation and Best Use of Artificial Intelligence, reflecting the firm’s technology-driven approach to delivering smarter, more efficient solutions for clients.

“These recognitions underscore how deeply innovation is woven into our culture,” said Will Gaus, Chief Knowledge Management and Innovation Officer at Troutman Pepper Locke. “With Experience Connect on our Athena platform, we’re not just experimenting with generative AI. We’re using it to make our collective experience instantly accessible, so attorneys can find the right teammates faster, collaborate more effectively, and deliver better outcomes for clients.”

Innovations in Knowledge Management, Winner

Troutman Pepper Locke’s Knowledge Management and Innovation team was honored for developing Experience Connect, a generative AI tool launched after the 2025 merger that formed a firm of more than 1,600 attorneys. Integrated into the firm’s AI platform, Athena, it enables attorneys and business professionals to quickly find colleagues with specific experience, credentials, and relationships, without relying on firmwide “Pardon the Interruption” (PTI) emails. Drawing solely on the firm’s internal experience database, the tool delivers precise, data-driven answers and has reduced PTI emails by 30 percent since its late September launch, with nearly 200 attorneys generating more than 1,000 conversations in the first month.

E-Discovery Technology and Innovation, Finalist

Troutman eMerge’s MatterWise platform was recognized as a finalist for its highly customizable, end-to-end litigation management solution that brings order to large portfolios and discovery-intensive matters. It centralizes matter details, deadlines, events, key players, dockets, arguments, discovery data, and outcomes in one place, reducing risk and cognitive overload while integrating with clients’ legal, IT, and operations systems to deliver a bird’s-eye view of each matter through a single pane of glass.

Best Use of Artificial Intelligence, Finalist

Quill, an AI-powered document intelligence platform from Troutman eMerge, was shortlisted for its ability to transform how litigators draft, edit, and iterate on responsive pleadings, discovery materials, confidentiality stipulations, and more. Unlike traditional chatbot tools that generate static text in separate prompt windows, Quill provides a natively agentic drafting environment that supports the dynamic, iterative nature of litigation document preparation.

Presented by Legaltech News, the awards honor individuals and organizations that have been at the forefront of legal innovation over the past year across three categories: law firms, legal departments, and technology providers. Over a dozen judges selected winners in over 40 categories from hundreds of worthy submissions.

Troutman Pepper Locke

Troutman Pepper Locke helps clients solve complex legal challenges and achieve their business goals in an ever-changing global economy. With more than 1,600 attorneys in 30+ offices, the firm serves clients in all major industry sectors, with particular depth in energy, financial services, health care and life sciences, insurance and reinsurance, private equity, and real estate. Learn more at troutman.com.

Troutman eMerge

Troutman eMerge offers clients integrated legal, technology, and AI-enhanced services to address complex data-driven problems in litigation, transactional and compliance matters, government investigations, and information governance initiatives. eMerge’s lawyers have received numerous accolades from leading industry authorities, including Chambers USA and Legal 500. For more information, visit troutmanemerge.com.

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