Recordings

The Crystal Ball Effect: How the Legal Industry is Mining Historical Matter Data to Predict the Future 

02-28-2019 11:56

“Anything could happen,” the classic lawyer objection which for many years plagued any proposed efforts to leverage analytical rigor to the process of pricing and budgeting new legal engagements. Those days are now a distant memory. The use of data in the legal industry is maturing at a faster pace thanks to an increasing recognition of the value that can be extracted from it. Business professionals, in contemporary law firms and legal departments, are systematically demonstrating the value of analyzing, planning and projecting legal engagement characteristics by using comparable historical matter data to construct meaningful pricing, budgets and process design. The most robust resource available to propel these efforts, historical matter data is a resource of which there is ample supply, but with questionable, often inconsistent levels of data integrity. How are today’s executives navigating this landscape to productively use historical matter data? What are the advantages and limitations? How do KM and technology fuel these efforts, and how will they evolve to better support these activities and increase the value analysis can bring into the equation? Answers to all these questions and more will be shared during this webinar outlining processes, best practices and real world examples.

Speakers:
Justin Ergler - Director and Alternative Fee Intelligence and Analytics, GlaxoSmithKline
Keith Maziarek - Director of Pricing and Legal Project Management, Katten Muchin Rosenman LLP
Andrew Medeiros - Practice Innovation Attorney, Katten Muchin Rosenman LLP

Recorded on 2-27-19


#ILTAVideo
#Webinar
#KnowledgeManagement
#BusinessandFinancialManagement

Statistics
1 Favorited
57 Views
2 Files
0 Shares
50 Downloads
Attachment(s)
mp4 file
Crystal Ball Effect_ How the Legal Industry is Mining His...mp4   65.96MB   1 version
Uploaded - 02-28-2019
pdf file
Crystal Ball Effect How the Legal Industry is Mining Hist...pdf   1.23MB   1 version
Uploaded - 02-28-2019

Related Entries and Links

No Related Resource entered.