AI and Legal Analytics

in Florian Martin-Bariteau & Teresa Scassa, eds., Artificial Intelligence and the Law in Canada (Toronto: LexisNexis Canada, 2021)

Posted: 4 Dec 2020

See all articles by Wolfgang Alschner

Wolfgang Alschner

University of Ottawa - Common Law Section

Date Written: November 2, 2020

Abstract

Lawyers across the world are beginning to use statistics, machine learning, and data science to review contracts, investigate case law, or predict judicial outcomes. This ability to mine law as data is known as legal analytics. Legal analytics promises to render legal analysis scalable as lawyers can quickly peruse hundreds, thousands, or even millions of legal texts that would take months to read. Legal information thereby not only becomes more accessible, but legal services can be provided more efficiently and effectively helping to close the access-to-justice gap. Data and algorithms power such legal analytics. But whereas algorithms are often open source, access to legal documents such as statutes or cases in bulk is surprisingly restricted as data is often concentrated among a few large legal service providers. Creating a healthy ecosystem for legal analytics to thrive thus requires open legal data, while protecting sensitive private information, as well as innovation and competition among providers.

Keywords: AI; canada; legal analytics; legal tech; statistics

Suggested Citation

Alschner, Wolfgang, AI and Legal Analytics (November 2, 2020). in Florian Martin-Bariteau & Teresa Scassa, eds., Artificial Intelligence and the Law in Canada (Toronto: LexisNexis Canada, 2021), Available at SSRN: https://ssrn.com/abstract=3733957

Wolfgang Alschner (Contact Author)

University of Ottawa - Common Law Section ( email )

57 Louis Pasteur Street
Ottawa, K1N 6N5
Canada

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