Law Commons^™

Appendix D: Hunting And Gathering On The Legal Information Savannah, Susan Nevelow Mart, Adam Litzler, David Gunderman

Research Data

This document, "Problem Solving & Interface Comments,” is an electronic Appendix D to, and is cited in, the empirical study: Susan Nevelow Mart, Adam Litzler, and David Gunderman, Hunting and Gathering on the Legal Information Savannah, 114 Law Libr. J. 1, 15 n.43 (2022), https://scholar.law.colorado.edu/articles/1548/.

Appendix E: Hunting And Gathering On The Legal Information Savannah, Susan Nevelow Mart, Adam Litzler, David Gunderman

Research Data

This document, "Random Search Order,” is an electronic Appendix C to, and is cited in, the empirical study: Susan Nevelow Mart, Adam Litzler, and David Gunderman, Hunting and Gathering on the Legal Information Savannah, 114 Law Libr. J. 1, 15 n.44 (2022), available at https://scholar.law.colorado.edu/articles/1548/.

Appendix C: Hunting And Gathering On The Legal Information Savannah, Susan Nevelow Mart, Adam Litzler, David Gunderman

Research Data

This document, "Twelve Problems,” is an electronic Appendix C to, and is cited in, the empirical study: Susan Nevelow Mart, Adam Litzler, and David Gunderman, Hunting and Gathering on the Legal Information Savannah, 114 Law Libr. J. 1, 13 n.37 (2022), available at https://scholar.law.colorado.edu/articles/1548/.

Slides: The Nsw Aboriginal Land Council (Nswalc) And Aboriginal Land Rights In Nsw, New South Wales Aboriginal Land Council

Indigenous Water Justice Symposium (June 6)

Presenter: Phil Duncan, Gomeroi Nation, New South Wales Aboriginal Land Council

19 slides

Machine Learning And Law, Harry Surden

Publications

This Article explores the application of machine learning techniques within the practice of law. Broadly speaking “machine learning” refers to computer algorithms that have the ability to “learn” or improve in performance over time on some task. In general, machine learning algorithms are designed to detect patterns in data and then apply these patterns going forward to new data in order to automate particular tasks. Outside of law, machine learning techniques have been successfully applied to automate tasks that were once thought to necessitate human intelligence — for example language translation, fraud-detection, driving automobiles, facial recognition, and data-mining. If performing …

Appendix A: Statistical Analysis Of The Data, Susan Nevelow Mart Study Of Search Functions In Lexis And Westlaw, Jeffrey T. Luftig

Research Data

Appendix A is Jeffrey Luftig's statistical analysis of the empirical data in the study of citator and digest functions in Lexis.com and Westlaw.com published in Susan Nevelow Mart, The Case for Curation: The Relevance of Digest and Citator Results in Westlaw and Lexis, 32 Legal Reference Services Q. 13 (2013), available at http://www.tandfonline.com/doi/pdf/10.1080/0270319X.2013.759036. A preprint version of Nevelow Mart's article is available at http://scholar.law.colorado.edu/articles/102/.

Slides: Draft Power In Developing Country Agriculture--South Asia, Arjun Makhijani

2012 Energy Justice Conference and Technology Exposition (September 17-18)

Presenter: Dr. Arjun Makhijani, President, Institute for Energy and Environmental Research (IEER)

13 slides