Event | 1 min read

September 18, 2026

Join us at LSTA Annual Conference, New York 2026

The LSTA Annual Conference 2026 brings together experts and key industry leaders from across the corporate loan market in New York.

This year’s conference offers a 360° view of the growing influence of AI and the geopolitical forces affecting corporate lending today. It also offers a perspective on legal concerns, the complexities of operations and technology, and trends in the syndicated and private credit markets.

Event details

October 8, 2026

New York Hilton 1335 6th Avenue, 3rd Floor, New York, NY 10019

Here’s what you can expect at the event:

  • Insights from LSTA experts and key industry leaders on corporate loan market trends
  • Two keynotes from New York Times bestselling authors: “Age of Economic Warfare” and “AI Ethics”
  • Discussions on BSL and CLO volatility and private credit’s “great rebundling”
  • Perspectives on “Financing the AI Boom”
  • Breakout sessions on topics of specific interest
  • An evening cocktail reception

Meet the eClerx team at Booth #19 in New York on 8 October, 2026 to understand how AI is being leveraged in end-to-end lending operations, how to turn complex legal documents into structured data, how to manage workflow exceptions, and how to integrate with industry utilities.

Website link: https://www.lsta.org/events/2026-annual-conference/

Attending from eClerx

Theodore Harrison

Head of US Loan Practice

eClerx

Shankarsun Sahu

Shankarsun Sahu

Associate Principal, Fintech

eClerx

Kelli Meigs

Director, Business Development

eClerx

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The presentations, videos, and other Investor Day materials have been prepared for informational purposes only. Certain statements contained in these materials may constitute forward-looking statements regarding eClerx's business outlook, growth strategy, market opportunities, client demand, operational priorities, technology and AI-led initiatives, investment plans and anticipated financial and operating performance.

These forward-looking statements are based on management's current expectations, assumptions and estimates and are subject to known and unknown risks and uncertainties that could cause actual results to differ materially from those expressed or implied. Such risks and uncertainties include, but are not limited to: changes in global economic and business conditions, customer spending patterns, competitive pressures, technological developments including evolving regulations relating to AI, data privacy and data protection, cybersecurity threats, talent availability and retention, currency fluctuations, geopolitical developments and other factors that may affect the Company's business, clients and operating performance.

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