AI and Legal Analytics
in Florian Martin-Bariteau & Teresa Scassa, eds., Artificial Intelligence and the Law in Canada (Toronto: LexisNexis Canada, 2021)
15 Pages Posted: 4 Dec 2020 Last revised: 7 Mar 2022
Date Written: February 1, 2021
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
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