artificial intelligence: what it really means to the legal...
TRANSCRIPT
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Artificial Intelligence: What it Really Means to the Legal Industry
J. Stephen Poor – Seyfarth Shaw LLP Stephen E. Roth - JTV
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Jetsons
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4 ©2017 Seyfarth Shaw LLP. All rights reserved. Private and Confidential
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LEVELS OF AUTOMATION
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“THINGS WE THINK AND DO NOT SAY”
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Source: Altman Weil Law Firms in Transition 2017 / CLO Survey 2016
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Source: Altman Weil CLO Survey 2016
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Source: Altman Weil Law Firms in Transition 2017
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Source: McKinsey Global Institute, “A Future That Works,” 2017
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Source: McKinsey Global Institute, “A Future That Works,” 2017
9 18 20 25
64 69 78
Technical feasibility, % of time spent on activities that can be automated by adapting currently demonstrated technology
Least susceptible Less susceptible Highly susceptible
7 14 16 12 17 16 18
Time spent in all US occupations, %
Managing others
Applying expertise1
Stakeholder interactions
Unpredictable physical
work2 Data collection
Data processing
Predictable physical work2
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…. ??!?
FROM MACHINE-CENTERED
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FROM MACHINE-CENTERED TO HUMAN-
CENTERED Smoothing out this interface is the secret weapon that drives meaningful adoption,
lasting behavioral change, and real business impact
Siri, call me an Uber to the office
Tech Support
Guided Search
Expert Systems
Self-Service
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STRATEGY
You should have one.
TECH
It can’t fix everything.
PEOPLE
They matter, more than ever.
“ALWAYS” IN BETA
Fail fast and adapt.
LESSONS LEARNED
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Implementation Process
Set expectations
Identify proof of concept
Define project ownership
Identify organizational barriers
Create development approach
Define Automation Strategy
Evaluate proof of concept results
Redefine benefits
Create internal expertise (“Center of Excellence”)
Establish framework in implementation
Establish Baseline
Process evaluation and analysis
Agile development
Communication to key stakeholders
Creation of governance structure
System-wide Implementation
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Team Firm Lawyers
Allied Professionals Client Personnel
Business Partners Contractors
Technology Collaboration
Financial Management RPA
Cognitive Computing Chatbots
Techniques Talent Management
Design Thinking Lean Six Sigma
Project Management Change Management
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