Abstract:JSTOR is a not-for-profit service that helps scholars, researchers, and students discover, use, and build upon a wide range of content in a trusted digital archive. We use information technology and tools to increase productivity and facilitate new forms of scholarship. For more information about JSTOR, please contact support@jstor.org.. California Law Review, Inc. is collaborating with JSTOR to digitize, preserve and extend access to California Law Review.When Christopher Columbus Langdell stated that the lib… Show more
“…4 Of interest to us is the geometry that this search model produces. 5 In particular, this kind of Markov-based search produces a metric on the network space that we call PageDist. We call the induced geometry an exploration geometry.…”
Section: A Random Walk Model For Legal Researchmentioning
confidence: 99%
“…The acute problems of identifying relevant legal sources (i.e., legal precedent) presented by the common law tradition has spurred codification and classification efforts that have ranged from Blackstone's "Commentaries on the Laws of England (1765-69)" to the codification movement in the late nineteenth century [1], to the development and spread of the West American Digest System in the twentieth century [2]. Most recently, the effect of digitization on the evolution of the law, primarily in its impact on legal research, has become a subject of inquiry (see e.g., [3,4,5,6,7,8,9,10]).…”
Section: Introductionmentioning
confidence: 99%
“…Therein, "directions" function as "points at infinity", producing a hyperbolic metric on the network. For this -and any text corpus -the pure topics provide an obvious choice of direction 5. We are indebted to Peter Doyle for early conversations regarding the geometrization of Markov chains and PageDist 6.…”
“…4 Of interest to us is the geometry that this search model produces. 5 In particular, this kind of Markov-based search produces a metric on the network space that we call PageDist. We call the induced geometry an exploration geometry.…”
Section: A Random Walk Model For Legal Researchmentioning
confidence: 99%
“…The acute problems of identifying relevant legal sources (i.e., legal precedent) presented by the common law tradition has spurred codification and classification efforts that have ranged from Blackstone's "Commentaries on the Laws of England (1765-69)" to the codification movement in the late nineteenth century [1], to the development and spread of the West American Digest System in the twentieth century [2]. Most recently, the effect of digitization on the evolution of the law, primarily in its impact on legal research, has become a subject of inquiry (see e.g., [3,4,5,6,7,8,9,10]).…”
Section: Introductionmentioning
confidence: 99%
“…Therein, "directions" function as "points at infinity", producing a hyperbolic metric on the network. For this -and any text corpus -the pure topics provide an obvious choice of direction 5. We are indebted to Peter Doyle for early conversations regarding the geometrization of Markov chains and PageDist 6.…”
“…12 It is not necessary to go so far in arguing for its significance, however. Whether or not the West system created 13 (or bounded) 14 legal thoughts via its taxonomy, the strength and breadth of its system created a map of case law research that previously did not exist. 15 The headnote and key number system of the West digest developed alongside its reporter system.…”
Web-based platforms for online reading and research create increasing accessibility of information but more challenging "findability." This article discusses concerns about losing the "values" of print-based research, as more libraries drop print subscriptions and reference materials and rely exclusively on electronic access. The visible organization of information, as well as its physical layout, make real contributions to the way we find answers and how we understand what we find. In the ongoing transition away from print resources, librarians have opportunities to carry forward the values of print into the digital future.
“…The acute problems of identifying relevant legal sources (i.e., legal precedent) presented by the common law tradition has spurred codification and classification efforts that have ranged from Blackstone's ''Commentaries on the Laws of England (1765-1769)'' to the codification movement in the late nineteenth century (Garoupa and Morriss 2012), to the development and spread of the West American Digest System in the twentieth century (West 1909). Most recently, the effect of digitization on the evolution of the law, primarily in its impact on legal research, has become a subject of inquiry (see e.g., Berring 1986Berring , 1987Fronk 2010;Hanson and Allan 2002;Hellyer 2005;Katsh 1993;McGinnis and Wasick 2015;Schauer and Wise 2000).…”
Legal reasoning requires identification through search of authoritative legal texts (such as statutes, constitutions, or prior judicial opinions) that apply to a given legal question. In this paper, using a network representation of US Supreme Court opinions that integrates citation connectivity and topical similarity, we model the activity of law search as an organizing principle in the evolution of the corpus of legal texts. The network model and (parametrized) probabilistic search behavior generates a Pagerank-style ranking of the texts that in turn gives rise to a natural geometry of the opinion corpus. This enables us to then measure the ways in which new judicial opinions affect the topography of the network and its future evolution. While we deploy it here on the US Supreme Court opinion corpus, there are obvious extensions to large evolving bodies of legal text (or text corpora in general). The model is a proxy for the way in which new opinions influence the search behavior of litigants and judges and thus affect the law. This type of ''legal search effect'' is a new legal consequence of research practice that has not been previously identified in jurisprudential thought and has never before been subject to empirical analysis. We quantitatively estimate the extent of this effect and find significant relationships between search-related network structures and propensity of future citation. This finding indicates that ''search influence'' is a pathway through which judicial opinions can affect future legal development.
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