Virtual event
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Modern Legal Workflows: Built for People, Powered by AI

Virtual event

Date: 17 July 2025

Time: 16:00 to 16:45 (UK local time)

Location: Online

In this live session, Kim Stein (BA Insight) and Stephen Bedford (Atlas by ClearPeople) unpack what it means to modernize legal workflows without sacrificing the human element. As AI becomes business-as-usual, many firms still face a disconnect between systems, teams, and information access.

This conversation examines how leading KM and IT teams collaborate to eliminate friction, enhance attorney support, and develop intelligent workflows tailored to the users.

2025-07-17 Event banner

You’ll learn:

  • How to design workflows that support attorneys, not slow them down
  • What it takes to truly connect knowledge across your systems
  • How to make AI feel helpful, not overwhelming
  • Why the right connectors are the backbone of a modern legal tech stack
  • Practical steps KM and IT leaders can take together

Whether you’re rethinking your knowledge strategy or navigating the next wave of AI adoption, this is one session you won’t want to miss.

Registration

Register for this event here

 

Speakers

Stephen Bedford

Stephen Bedford

Product Director at ClearPeople

Stephen is Product Director and responsible for the day-to-day development of Atlas. He has decades of experience in the development of digital workspaces that are relevant, security trimmed sources of information which enable people to contribute knowledge with governance built in. 

Kim Stein

Kim Stein

Director, Legal Solutions at BA Insight

Kim Stein is Director of Legal Solutions at Upland BA Insight and brings more than 30 years of experience in the legal industry. She partners with law firms to implement AI-driven search, optimize Microsoft Copilot, and modernize legal workflows. Known for her practical guidance and deep industry knowledge, Kim regularly shares insights on legal tech trends and best practices. Her goal is to help legal teams work smarter, stay secure, and unlock more value from the tools and data they already have.