Quantum Data Analysis Meets Litigation Finance and Investment

[Gunnar Larson]

Check out my new article:
https://litigationfinancejournal.com/quantum-data-analysis-meets-litigation-finance-and-investment/

Quantum Data Analysis Meets Litigation Finance and Investment

While engaging quantum computing across the legal spectrum is still in its
infancy, litigation funders are increasingly looking to manage financial
risk exposure with in-house data analytics systems. A new article pressure
tests the most evident matters concerning quantum data and litigation
finance.

Mondaq reports
<https://www.mondaq.com/unitedstates/trials--appeals--compensation/1433812/the-in-house-view----crunching-the-numbers-using-in-house-data-analytics-to-prepare-the-companys-litigation-funding-request?email_access=on>
on
how litigation financiers are integrating algorithmic data tools into their
decision making. With the potential of billions of dollars in proceeds, it
is important to understand the impact of data architecture through self
inventory, extraction and analysis. Spotting holes in data systems is
essential, and should be encouraged to promote a nimble innovation strategy
within an organization.

Current popular uses of data analysis in litigation finance include
quantifiable forecasts of economic harm caused by defendant actions, and
contemplation of settlement proposals. Devising solutions to mitigate data
disasters is also a prime concern for third party funding. For example,
some litigation funders are compiling “data literacy” manuals to increase
and enhance engagement between colleagues.

The future of quantum data analysis in litigation finance will belong to
those who conceptualize systems that maximize ROI and improve operational
efficiencies.
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<https://litigationfinancejournal.com/author/jkfreund2000gmail-com/>Gunnar
Larson <https://litigationfinancejournal.com/byline/gunnar-larson/>
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