The Epiq Brief: February Edition

eDiscovery and Investigations
3 Mins

Generative AI in Action: Dynamic Strategies for Today's Legal Landscape

Get the recap of the panel discussion led by Epiq expert Richard Robbins, covering GenAI’s immediate applications, and ethical considerations.

Change Management: Leading Successful Initiatives in Your Organization

Read the summary of this Legalweek 2024 discussion with in-house legal and law firm thought leaders, led by Epiq expert Kayleigh Bedolla.

Leveraging Knowledge Management for Legal Excellence: Strategies and Tools

At Legalweek 2024, Epiq expert Eric Anderson led this discussion covering strategies and best practices to harness lawyer’s attention. Read the summary.

Harnessing the Power of Data Governance: A Strategic Guide for Legal Professionals

For key insights from Data Governance leaders, read the summary of this Legalweek 2024 discussion, led by Epiq expert Anne Costello.

Epiq Is Out and About in March of 2024

	Tiana Van Dyk speaking engagement at UofA's Legal Innovation Conference \| Alberta, Canada \| March 1
	Pharma IPR 2024 \| Mumbai, India \| March 5 - March 7
	ABA White Collar Crime 2024 \| San Francisco, USA \| March 6 - March 8
	CloudSign Re:Change Japan 2024 Spring \| Tokyo, Japan \| March 18
	Joshua Fireman's speaking engagement at Fordham Law School \| Virtual \| March 22
	Montreal Legal Innovation Forum \| Montreal, QC \| March 27

Joy Saphla Joins Epiq Legal Solutions as Senior Managing Director

Saphla brings 30 years of experience in the legal services industry to Epiq, where she will focus on new client acquisition, bringing Epiq’s Legal Transformation Services to corporate legal departments and law firms globally.

Binary Bakeoff:
Controlled Study Ranking TAR Tools

In this study, Epiq evaluated the performance of three popular Technology Assisted Review (TAR) tools. The analysis includes results when using each tool’s flagship queue to select the appropriate training documents, compared with the results when a human consultant selected training documents via the algorithms’ supervised learning selections.