To analyze/cluster incoming document productions
Other (please specify)
30
1
I
L
T
A
W
H
I
T
E
P
A
P
E
R
|
L
I
T
I
G
A
T
I
O
N
A
N
D
P
R
A
C
T
I
C
E
S
U
P
P
O
R
T
35
2 0 1 8 L I T I G A T I O N A N D P R A C T I C E S U P P O R T S U R V E Y R E S U L T S
On how many cases in the last
12 months has your organization
used machine learning technolo?
If your organization is not leveraging
machine learning what is the main
reason? (Check all to apply)
If you provided native file redactions
(e.g. Excel) for production, what tools
did you use?
If you are using machine learning
technolo or other analytics
technologies, how are you leveraging
them? (Select All That Apply)
In the past 12 months, how many cases
have required native file redactions
(e.g. Excel) for production?
Not Applicable – did not provide native redactions
Custom solution
XLerator
Blackout
Outsourced to a vendor
Other (please specify)
BlackBar
45
23
10
7
12
1
1
Other (please specify)
My cases are too small
As a tool to prioritize review
Not requested / not understood by clients
As a tool to expedite review
My firm is slow to adopt new technologies
As a tool to make production decisions without putting "eyes on"
the full set of documents
Lack of expertise within my firm
As an early case assessment tool
27
59
28
31
20
45
34
61
Cost
None/Not Applicable
18
20
27
1-3 cases
4-10 cases
11-20 cases
More than 20 cases
We have not used
machine learning
23
6
9
35
26
1-3 cases
4-10 cases
11-20 cases
More than 20 cases
We have not used
machine learning
21
7
7
28
37
