The Courts’ Big Data: What If Only?
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to 2.5 quintillion bytes of new data are created daily. ....Organizations know
this data is rich in information and potential insight, but it’s as if they
receive a fresh-minted library daily with answers to all their questions,
except the books are written in languages they cannot understand.
The
above words appeared in a full-page ad by IBM in yesterday’s Wall Street Journal under the headline
“Watson Goes To Work.” The ad touted IBM’s Watson, the supercomputer Jeopardy! champion over two human
challengers in a pop culture event in February 2011. Watson’s performance improved as the
game progressed as it built on each bit of information acquired from
each new clue and answer. Watson demonstrated
the advanced form of computing IBM calls a cognitive
system, “a system that is not simply programmed but is trained to learn
based on interactions and outcomes.”
The
ad brought to mind a “what if” question my National Center for State colleague
Jim MacMillan and I have been pondering for while now.
What
if we could tap into the massive amount of data that is entered and stored in a
court’s case management system, and other data systems like states’ criminal
justice repositories?
For
example, an approach – I believe first suggested by Jim McMillan and Philadelphia
Court of Common Pleas Judge Carolyn Engel Temin, which already may be in the
experimental stages of development by judiciaries outside of the U.S. -- uses
information in modern automated case management systems to measure case
complexity and dynamically create and adjust the individual case weights and
the total case weights for individual judges and staff, departments, and
courts. Potential factors and data elements related to case complexity in
criminal cases, for example, might include the number and seriousness of
criminal charges, the number of defendants, criminal history of the defendant,
number of documents submitted in evidence, number of witnesses, witness
availability, and the number of exhibits. Workload assessments and assignment of cases,
among myriad other functions, would be based on up to date adjustment in real
time.
Which
brings me to the the takeaway question: Why not a Watson in the courts? No doubt the courts today have Big Data that a
“Justice Watson” could devour fur lunch.
My
wish is that a case management system company or a business intelligence vendor
with court or justice system interests would throw some skin into the research
and development (R&D) game for this exciting prospect. It might begin modestly with dynamic workload
assessment. The R&D could be funded directly
or by means of some leveraged development in cooperation with an individual
court or court system.
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