Posts Tagged ‘Lexis.com’

Justiss on A Survey of Electronic Research Alternatives to Lexis and Westlaw in Law Firms

August 5, 2010

Laura K. Justiss of Southern Methodist University School of Law Library has posted a working paper entitled A Survey of Electronic Research Alternatives to Lexis and Westlaw in Law Firms, on SSRN. Here is the abstract:

Mrs. Justiss conducted a survey of law firm librarians in 2010 that identified electronic research database alternatives to Lexis and Westlaw and ranked them by subscription frequency. The survey included research databases for primary source alternatives; court docket and case information services; secondary sources for topical legal research and legal periodicals; financial, business and news sources; public records; and non-legal and legal-related sources, including intellectual property databases. The survey also generated information regarding suggested or mandated legal research policies in law firms for the use of alternatives to Lexis and Westlaw and examined their applicability to billable and non-billable research. Lastly, it examined the prevalence in firms of flat rate pricing agreements with Lexis, Westlaw or both.

HT Martha Sperry and @uMCLE.

New Westlaw, Lexis, Bloomberg Systems Previewed by ABA Journal

January 25, 2010

[NOTE: Updated on 31 January 2010 to clarify the statement in the article that "[s]econdary sources will be coming soon to Fastcase.”]

New and revamped online legal research systems offered by Westlaw, Lexis.com, and Bloomberg are previewed in an article published online today by ABA Journal. Fastcase and Google Scholar are also discussed in the article.

Among the novel features of the new systems to be offered by Westlaw, Lexis, and Bloomberg, the article identifies simplified user interfaces, improved natural language searching, better organized results displays, graphical displays of some data including citator results, and artificial intelligence features, including decision support.

The article also states that Fastcase plans to add secondary sources to its databases in the coming year. However, according to Ed Walters, CEO of Fastcase, Fastcase’s content already includes secondary sources, including “newspapers, a people finder, business intelligence, and forms.” Walters says that additional secondary sources will be added to Fastcase in the future.

Google Scholar personnel are quoted in the article as stating that they have no plans to add significant improvements to the legal research components of their system.

Overall, the article appears to reflect a distinctly more competitive market for online legal research in the U. S.

Nevelow Mart on Human Indexing & Computer Algorithms in Case Law Subject Classification

September 18, 2009

Susan Nevelow Mart, Faculty Services Librarian & Adjunct Professor of Law at the UC Hastings Law Library, has published Reining in the Results: The Use of Human Indexing and Computer Algorithms in West’s Headnotes & Key Numbers and LexisNexis’s Headnotes & Topics as Tools for Finding Relevant Case Law, forthcoming in Law Library Journal. An earlier version of the paper was presented at the Conference on Legal Information: Scholarship and Teaching, held at the University of Colorado Law School on June 21-22, 2009, as part of its Boulder Summer Conference Series. Here is the abstract:

“Since the advent of LexisNexis headnotes and the LexisNexis classification system, the author has wondered about the different ways results are generated in West’s Custom Digest and in LexisNexis’s ‘Search by Topic or Headnote’ and by KeyCite and Shepard’s. There has been some anecdotal discussion about the differences, but no empirical investigation. This paper starts the investigation process: the author took ten pairs of matching headnotes from legally important federal and California cases and reviewed the cases in the results sets generated by each classification and citator system for relevance. The relevance standards for each case are included. The paper first reviews previous full-text database testing, and the benefits and detriments of both human indexing and algorithmic indexing. Then the two very different systems are tested. Ten pairs of headnotes is too small a sample to say absolutely that results generated by system A are and always will be a certain percentage more or less relevant than system B. However, the differences in the results sets for classification systems and for citator systems do raise some interesting issues about the efficiency and comprehensiveness of any one system, and the need to adjust research strategies accordingly.”


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