Presentation @ 24th International Conference on Legal Knowledge and Information Systems ( Jurix 2011 - Vienna )
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    Presentation @ 24th International Conference on Legal Knowledge and Information Systems ( Jurix 2011 - Vienna ) Presentation @ 24th International Conference on Legal Knowledge and Information Systems ( Jurix 2011 - Vienna ) Presentation Transcript

    • Legal Language Explorer Presentation @ 24th International Conference onLegal Knowledge and Information Systems (Jurix 2011) daniel martin katz michael j bommarito ii julie seaman adam candeub eugene agichtein
    • Law is characterized by arelatively small number of highly influentialcases and jurists whoseconceptualization of law comes to dominate
    • Most Judges and CasesAre Quickly Forgotten
    • But A Select Few Persist ...
    • Extreme Skewing is a Typical Feature of Legal Systems Katz, et al (2011) Katz & Stafford (2010) Geist (2009)American Legal Academy American Federal Judges Austrian Supreme Court Smith (2007) Smith (2007) Post & Eisen (2000) U.S. Supreme Court U.S. Law Reviews NY Ct of Appeals
    • innovative use of language and metaphor is In Part
    • How Holmesbecame “Holmes”and how Posnerbecame “Posner”
    • And how certain casescame to dominate the rest of the corpus
    • We BelieveThe decision corpus is our archeological record
    • We Believe The decision corpus is our archeological record and that record can beusefully explored using the tools of computational linguistics
    • We WantTo Democratize the Exploration of Legal Language ...
    • We Want To Democratize the Exploration of Legal Language ...to folks who are not programmers
    • We Want To Democratize the Exploration of Legal Language ...to folks who are not programmers to folks who are not technically inclined
    • We Develop a Simple WebInterface that Leverages the Visual Cortex
    • Relies on Our Ability to Engage in Pattern Detection
    • To Explore Linguistic Patterns in Large Corpora of Legal Documents
    • We Start with the Full Text Corpus of Decisions of theUnited States Supreme Court 1791-2005
    • Develop a N-Gram Based Explorerwith a Portal to the Full Text, etc.
    • From Text to N-Grams...
    • Generate the N-Gram Mapping (1) extract the opinion text from each case and store it as a sequence of characters (2) convert this sequence of characters into a sequence of words through Word Tokenization (Penn Tree Bank Algorithm) (3) iterate over words in the length M sequence from index 1 to index M + 1 – N
    • Generate the N-Gram Mapping
    • Legal Language Explorer: A Brief Tour of The Interface
    • Go toLegalLanguageExplorer.com And Access This Interface
    • Notice The Default Search IsInterstate Commerce, Railroad, Deed
    • Notice The Default Search IsInterstate Commerce, Railroad, Deed
    • For Each Comma Separated PhraseThe Frequency Plot Appears Below
    • For Each Comma Separated PhraseThe Frequency Plot Appears Below
    • Currently Supporting Every U.S. Supreme Court Decision From 1791 - 2005
    • Currently Supporting Every U.S. Supreme Court Decision From 1791 - 2005
    • Years Can Be Changed By The End User
    • Years Can Be Changed By The End User
    • Click Here to Access Various Advanced Search Features
    • The AdvancedSearch Features
    • Are the Observed Trendsa Function of changes in the volume of the case docket?
    • Normalization allows End User to control for the Size of the Case Docket
    • Normalization allows End User to control for the Size of the Case Docket
    • Change the Graph Type By Clicking Here
    • An Alternative Presentation of the Data
    • Export the Chart Data(If You Want to Replot in Stata, Excel, R, etc.)
    • Export the Chart Data(If You Want to Replot in Stata, Excel, R, etc.)
    • The Results(If You Want to Replot in Stata, Excel, R, etc.)
    • Access a Case List and Full Text Results
    • Here are the Returned Results
    • Download List in Excel(or any .csv)
    • Download List in Excel(or any .csv)
    • Access theFull Text aParticular Case
    • Click Through to AccessResults fromBulkResource.org
    • For More Information - Full Version of the Paperhttp://papers.ssrn.com/sol3/papers.cfm?abstract_id=1971953
    • ForImplementation Details (Including the Key Value Storage Method, etc.) http://www.michaelbommarito.com/ blog/2011/12/16/building-legal- language-explorer-interactivity- and-drill-down-nosql-and-sql/
    • Slides will Be Posted to CLS Blog http://computationallegalstudies.com/
    • This is Only The BeginningStay Tuned for More in 2012 :) daniel martin katz michael j bommarito ii julie seaman adam candeub eugene agichtein