Colin S. Levy
OCTOBER 1, 2024
The 2023 ACC Chief Legal Officer Survey highlights this rapid growth, revealing that more than six out of 10 legal departments (61%) employed at least one legal operations professional in 2023—a figure that has nearly tripled since 2015 [1].
Law Technology Today
SEPTEMBER 10, 2023
This initiative launched in 2015 with a list of innovators and leaders in legal technology and with this year’s additions, that list now includes 141 talented and influential women leaders. The Legal Technology Resource Center ’s Women of Legal Tech initiative is intended to encourage diversity and celebrate women in legal technology.
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LawNext podcast
OCTOBER 14, 2019
In August, a Utah task force on access to justice issued a report that called for “profoundly reimagining the way legal services are regulated in order to harness the power of entrepreneurship, capital, and machine learning in the legal arena.” Gary Herbert.
Colin S. Levy
APRIL 30, 2024
The platform itself was a marvel, a testament to the incredible power of artificial intelligence and machine learning to transform the way we approach the law. Orbit Press, 2015. Labyrinths: Selected Stories & Other Writings. New Directions, 1962. Chiang, Ted. Exaltation: Stories. Vintage, 2019. Robinson, Kim Stanley.
Debevoise Data Blog
JANUARY 12, 2021
Regulators in the United States and abroad are showing increasing interest in pursuing enforcement actions against companies that deploy artificial intelligence, machine learning, or algorithmic-based applications (“AI”) in a way that the regulators perceive as harmful to the public.
LawSites
OCTOBER 19, 2021
“Blue J’s tax diagramming solution is purpose-built for tax practitioners and opens up new ways to leverage AI and machine-learning in analysis of the merits of tax positions.” By 2015, the company built its initial prototype, and it released it commercially a year later, initially in Canada, but later expanding to the U.S.
3 Geeks and a Law Blog
MARCH 9, 2023
And as we see improvements in algorithms, machine learning algorithms, the cost of predicting legal outcomes is going to essentially vanish, it’s going to become very clear what would happen in court with respect to a particular situation in terms of the legal outcome.
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