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ACC LegalOps Con

April 20 – 22 | Chicago, IL

Achieve More Visibility

Gain clearer insights into your contracting and operational data. Streamline high-volume legal work and leverage expert guidance from legal department, contract lifecycle management (CLM), and information governance advisory specialists to accelerate performance.

  • Legal Department Advisory: Anticipate and adapt to challenges with an advisory partner who supports investments in people, process, and technology.

  • Contracts Solutions: Maximize business value from contracts across people, process, technology, and data.

  • Flexible Talent: Manage in-house legal workload with experienced professionals.

  • Information Governance: Transform data into a strategic asset with secure, compliant, and innovative information governance practices.

  • Discovery Services: Accelerate discovery with AI that lowers cost and risk.

Epiq Session

How AI Delivers Value at Every Stage of CLM Maturity
Tuesday, April 21 | 1:30 – 2:30 p.m. CT

Explore how advanced AI capabilities accelerate contract lifecycle management (CLM) maturity and deliver measurable business value. In this session, Jessica Cook, Senior Director, Contracts Solutions at Epiq, examines a CLM maturity model and highlights how AI integration enhances efficiency, reduces risk, and drives strategic decision-making. Attendees will learn how to leverage predictive analytics, automation, and data-driven insights to elevate contracting processes and achieve operational excellence in a competitive legal environment.

What you’ll learn:

  • How AI enhances each stage of CLM maturity

  • Strategies for integrating predictive analytics into contracting workflows

  • Key benchmarks for enhancing CLM and AI capabilities

Speakers:

  • Dundi Thompson, Project Manager, Legal Operations, Flowserve

  • Jessica Cook, Senior Director, Contracts Solutions, Epiq

Epiq Booth

Continue the conversation by visiting the Epiq booth and learn how to gain clearer visibility into your contracting and operational data.