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Automatically Extracting Meaning From Legal Texts: Opportunities And Challenges, Kevin D. Ashley Jan 2019

Automatically Extracting Meaning From Legal Texts: Opportunities And Challenges, Kevin D. Ashley

Articles

This paper examines impressive new applications of legal text analytics in automated contract review, litigation support, conceptual legal information retrieval, and legal question answering against the backdrop of some pressing technological constraints. First, artificial intelligence (Al) programs cannot read legal texts like lawyers can. Using statistical methods, Al can only extract some semantic information from legal texts. For example, it can use the extracted meanings to improve retrieval and ranking, but it cannot yet extract legal rules in logical form from statutory texts. Second, machine learning (ML) may yield answers, but it cannot explain its answers to legal questions or …


Using Ai To Analyze Patent Claim Indefiniteness, Dean Alderucci, Kevin D. Ashley Jan 2019

Using Ai To Analyze Patent Claim Indefiniteness, Dean Alderucci, Kevin D. Ashley

Articles

In this Article, we describe how to use artificial intelligence (AI) techniques to partially automate a type of legal analysis, determining whether a patent claim satisfies the definiteness requirement. Although fully automating such a high-level cognitive task is well beyond state-of-the-art AI, we show that AI can nevertheless assist the decision maker in making this determination. Specifically, the use of custom AI technology can aid the decision maker by (1) mining patent text to rapidly bring relevant information to the decision maker attention, and (2) suggesting simple inferences that can be drawn from that information.

We begin by summarizing the …


Administrative Truth: Comments On Cortez’S Information Mischief, David Thaw Jan 2019

Administrative Truth: Comments On Cortez’S Information Mischief, David Thaw

Articles

This short essay responds to Professor Nathan Cortez’s argument describing an emerging “information policy” reflecting on the practices of President Donald J. Trump’s executive administration (the “Trump Administration”) regarding the development, release, and management of official information. Professor Cortez argues that viewed holistically, this information policy suggests a shift toward the use of information practices by administrative agencies for purposes other than “neutral principles” and rather focusing on a “more cynical [use] of government information.”

This argument may be well-founded, and the Trump Administration certainly has been criticized widely for the relationship between its public statements and widespread media interpretation …