Quantitative Methods for Lawyers - Class #1 - Why Quantitative Methods + Research Design Part I - Professor Daniel Martin Katz

1. Quantitative
Methods
for
Lawyers
Introduction to the Course
Research Design - Part I
+
Class #1
@ computational
computationallegalstudies.com
professor daniel martin katz danielmartinkatz.com
lexpredict.com slideshare.net/DanielKatz

3. Welcome to Quantitative
Analysis for Lawyers

4. My Background
University of Michigan
Center for the Study of Complex Systems
( Fellow 2009-2010 )
PhD
Political Science & Public Policy
J.D.
University of Michigan
Associate Professor of Law

6. Access
Course
Slides
and
other
materials
here

8. Welcome to Quantitative
Analysis for Lawyers

9. ∩

10. Most of your
training in
law school

11. ∩
This Course is About These Two
Pieces of the Venn Diagram

13. Why Does Quantitative
Thinking Matter?

14. Applications of
Quantitative Skills
in Other Domains

16. “One hurdle is a talent and skills gap. The United
States alone, McKinsey projects, will need 140,000 to
190,000 more people with “deep analytical” skills,
typically experts in statistical methods and data-analysis
technologies. McKinsey says the nation will also need
1.5 million more data-literate managers, whether
retrained or hired.”

17. “65 percent of current grade-school kids may
end up doing work that hasn’t yet been invented”

18. Response --
Hedge By Acquiring Lots
of Different Types of Skills
>

20. Why Does Quantitative Thinking
Matter for Lawyers?
∩

21. T Shaped Professionals

22. via

23. {Law
Substantive
Legal
Expertise
Analytics
Platform
AI
Computing
KM
Process Mapping
User Experience
Design Thinking
Project Mgmt
Business Models
Regulation
Marketing
+ Tech + Design + Delivery}
#ReInventLawReInventLaw.com

25. The Legal Labor Market
is Tough

26. Need to Stand Out
from the Crowd

28. Statistical Arguments
in a Courtroom Setting
Quantitative Legal Prediction
Data to Support
Legal Project Mgmt. /
Lean Six Sigma for Law
∩
Three Points of Emphasis

30. Quantitative Legal Prediction

31. 2011
The Age of
Quantitative Legal Prediction

32. 2011
The Age of
Quantitative Legal Prediction

33. 2011
The Age of
Quantitative Legal Prediction

34. 2012
The Age of
Quantitative Legal Prediction

35. 2012

36. 2013
The Age of
Quantitative Legal Prediction

37. Quantitative Legal Prediction
- or -
How I Learned to Stop Worrying and Start
Preparing for the Data Driven Future of the
Legal Services Industry
By Daniel Martin Katz
2013

38. 2013
The Age of
Quantitative Legal Prediction

39. 2013

40. 2013

41. 2013

42. 2013

43. 2014

44. 2014

45. 2014

46. 2014

47. Some Commercial Examples

49. Predictive
Coding
in
E-Discovery

52. https://lexmachina.com/

53. “The software
identifies standard
and terms in
contracts, and its
benchmarking
tools show
lawyers how their
current document
compares to the
standard.”

55. http://www.noticeandcomment.com/

59. Legal Project Mgmt. /
Legal Process Engineering

60. Legal Process Engineering
(High End of Market)
Data and Logistics =
General Counsels as
Maestros managing the
global legal supply chain

61. General Counsels as Legal
Procurement Specialists
TyMetrix -
Using $50+ billion in Legal Spend
Data to Help GC’s Look for
Arbitrage Opportunities, Value
Propositions in Hiring Law Firms
Legal Procurement
(High End of Market)

62. Driving Down your
Legal Bills
Yeah there is an
App for That
City
Firm Size
Partner
Experience
Calculate
Legal Procurement
(High End of Market)
http://tymetrix.com/mobile_apps/

66. Statistical Arguments
in a Courtroom Setting

67. https://www.youtube.com/watch?v=3pdsy_0VBAc

68. https://www.youtube.com/watch?v=kLmzxmRcUTo
Oxford Mathematician
Peter Donnelly Reveals
the Common Mistakes
Humans Make in
Interpreting Statistics

70. Introduction to
Research Design

71. What is a hypothesis?

72. The term “hypothesis” describes
an untested theory.

73. The researcher anticipates a relationship
between a theory and the real world.

74. To be an acceptable hypothesis, the theory
must be testable; the researcher must be
able to make observations through testing to
{ falsify, fail to falsify} the hypothesis.

75. A failure to falsify is
not equivalent to proving your
hypothesis is true

77. Explain the difference between
hypothesis and research design?

78. Answer: While hypothesis furnishes the theory for
the study, research design determines the study’s
structure and its process to test the hypothesis.

79. Research design forces the researcher to think
about and prevent possible problems before
they occur.

80. I. The research design specifies the method used to gather data to
test the hypothesis.
II. Research design specifies where and when the data is collected.
III. How will the data be standardized?
IV. The data is tested in multiple ways for greater information.
V. What standards will the researcher use to accept or reject the
hypothesis?

82. Every study makes assumptions.
Name some.

84. Why must the lawyer be aware of
the study’s assumptions?

85. Assume a study uses historic records to
compare its college students’ SAT scores.
The study claims the data establishes that
its students who have higher SAT scores
gravitate toward one area of study vs
another area of study.

86. The use of SAT scores inherently includes an
unstated assumption that SAT scores accurately report
the intelligence capacities of the students.

87. Also, using these historic documents assumes equal
testing procedures and assumes accurate recording
in the historic document of those SAT testing results.

89. REMEMBER:
In a sense, a lawyer and a scientist are not that different.
A good place to challenge the researcher’s
study start with the assumptions.
The study’s validity will fall if the assumptions lack validity.
This can be a source for a legal (and a scientific) challenge.

90. Daniel Martin Katz
@ computational
computationallegalstudies.com
lexpredict.com
danielmartinkatz.com
illinois tech - chicago kent college of law@