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ALM executed an online survey in 2017 that gauged in-house counsels’ use of predictive analytics and coding. The universe measured in this study is a subset of subscribers and customers drawn from ALM’s proprietary database who have email addresses and meet the target profile: in-house counsel.
Difficult to train staff to adequately use the technology
11%
Technology is too costly up front
19%
Defensibility and transparency
25%
don’t know enough about it
45%
Biggest Challenges with Adopting
Predictive Coding
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While predictive coding is gaining ground, corporate counsel indicated that their biggest challenge with the technology is that they don’t know enough about it.
Overcoming Obstacles
challenges
Biggest Benefit of Predictive Coding
10%
Faster e-discovery results
13%
Better accuracy than manual review
16%
Higher likelihood of uncovering all relevant documents
45%
Lower costs/less drain on resources
50
40
30
20
10
0
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Legal departments most often use predictive coding —
a type of predictive analytics -- to help lower costs and improve efficiency. In fact, 45% of respondents said the biggest benefit of predictive coding is lower costs and
less drain on resources.
Saving Money with Predictive Coding
benefits
Predicting how
a judge might rule
34%
Calculating the cost
of a trial
38%
Controlling
e-discovery costs
39%
Designing better compliance programs
44%
Determining which cases to litigate or settle
52%
of in-house counsel
is familiar with
predictive coding.
83%
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In-house counsels are using predictive analytics for everything from optimizing staffing to deciding which cases to pursue and how. The new data-driven legal department is leaner, meaner and more cost efficient. To most effectively operate, then, corporate counsel must understand how their peers are using predictive analytics in their own companies – and how that translates to their own work.
The Data-Driven Counsel
Uses
Legal Use of Predictive Analytics
Predictive Analytics in Legal Departments
challenges
benefits
Uses
