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Follow the Money: Use Outcome-Oriented Analytics to Keep Clients Happy & Win Cases


Level: Advanced
Runtime: 58 minutes
Recorded Date: March 22, 2023
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Agenda

  • Introduction
  • What is Legal Analytics?
  • How Law Firms are Using Legal Analytics?
  • What data is required to trust analytics?
  • Q & A 
Runtime: 58 minutes
Recorded: March 22, 2023

For NY - Difficulty Level: For experienced attorneys only (nontransitional)
For NY - Difficulty Level: Experienced attorneys only (non-transitional)

Description

In order to build winning and lucrative litigation strategies with outcome-oriented analytics, attorneys need access to superior research solutions and accurate data. In this session, thought leaders will examine new developments and trends in legal analytics and how to find the information litigators need most—the money trail, case resolutions, and trustworthy data

This program was recorded as part of ALM's Legalweek Conference on March 22nd, 2023.

Provided By

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Panelists

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Karl Harris

CEO
Lex Machina

As CEO, Karl leads strategy and operations at Lex Machina. Previously, Karl led all product development, product strategy, and engineering efforts at Lex Machina as CTO and Vice President of Products through Lex Machina’s successful acquisition by LexisNexis.

Prior to Lex Machina, Karl worked as a Fellow at XSeed Capital Management, a seed stage venture firm and Lex Machina’s lead investor. He also served as Vice President of Product Management and as Vice President of Engineering for Flurry, Inc., the provider of the largest mobile analytics and monetization platform, where he was a member of the founding team before Flurry was acquired by Yahoo. Prior to Flurry, Karl spent five years building sonar systems for Applied Research Laboratories of the University of Texas at Austin.

Karl holds a J.D. from Stanford Law School, and while in law school worked in Fish & Richardson’s patent litigation and prosecution groups. Karl also holds an M.S. in Computer Sciences from the University of Texas at Austin and an A.B. in Computer Science from Dartmouth College.


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