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 )

  1. 1. 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
  2. 2. Law is characterized by arelatively small number of highly influentialcases and jurists whoseconceptualization of law comes to dominate
  3. 3. Most Judges and CasesAre Quickly Forgotten
  4. 4. But A Select Few Persist ...
  5. 5. 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
  6. 6. innovative use of language and metaphor is In Part
  7. 7. How Holmesbecame “Holmes”and how Posnerbecame “Posner”
  8. 8. And how certain casescame to dominate the rest of the corpus
  9. 9. We BelieveThe decision corpus is our archeological record
  10. 10. We Believe The decision corpus is our archeological record and that record can beusefully explored using the tools of computational linguistics
  11. 11. We WantTo Democratize the Exploration of Legal Language ...
  12. 12. We Want To Democratize the Exploration of Legal Language ...to folks who are not programmers
  13. 13. We Want To Democratize the Exploration of Legal Language ...to folks who are not programmers to folks who are not technically inclined
  14. 14. We Develop a Simple WebInterface that Leverages the Visual Cortex
  15. 15. Relies on Our Ability to Engage in Pattern Detection
  16. 16. To Explore Linguistic Patterns in Large Corpora of Legal Documents
  17. 17. We Start with the Full Text Corpus of Decisions of theUnited States Supreme Court 1791-2005
  18. 18. Develop a N-Gram Based Explorerwith a Portal to the Full Text, etc.
  19. 19. From Text to N-Grams...
  20. 20. 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
  21. 21. Generate the N-Gram Mapping
  22. 22. Legal Language Explorer: A Brief Tour of The Interface
  23. 23. Go toLegalLanguageExplorer.com And Access This Interface
  24. 24. Notice The Default Search IsInterstate Commerce, Railroad, Deed
  25. 25. Notice The Default Search IsInterstate Commerce, Railroad, Deed
  26. 26. For Each Comma Separated PhraseThe Frequency Plot Appears Below
  27. 27. For Each Comma Separated PhraseThe Frequency Plot Appears Below
  28. 28. Currently Supporting Every U.S. Supreme Court Decision From 1791 - 2005
  29. 29. Currently Supporting Every U.S. Supreme Court Decision From 1791 - 2005
  30. 30. Years Can Be Changed By The End User
  31. 31. Years Can Be Changed By The End User
  32. 32. Click Here to Access Various Advanced Search Features
  33. 33. The AdvancedSearch Features
  34. 34. Are the Observed Trendsa Function of changes in the volume of the case docket?
  35. 35. Normalization allows End User to control for the Size of the Case Docket
  36. 36. Normalization allows End User to control for the Size of the Case Docket
  37. 37. Change the Graph Type By Clicking Here
  38. 38. An Alternative Presentation of the Data
  39. 39. Export the Chart Data(If You Want to Replot in Stata, Excel, R, etc.)
  40. 40. Export the Chart Data(If You Want to Replot in Stata, Excel, R, etc.)
  41. 41. The Results(If You Want to Replot in Stata, Excel, R, etc.)
  42. 42. Access a Case List and Full Text Results
  43. 43. Here are the Returned Results
  44. 44. Download List in Excel(or any .csv)
  45. 45. Download List in Excel(or any .csv)
  46. 46. Access theFull Text aParticular Case
  47. 47. Click Through to AccessResults fromBulkResource.org
  48. 48. For More Information - Full Version of the Paperhttp://papers.ssrn.com/sol3/papers.cfm?abstract_id=1971953
  49. 49. 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/
  50. 50. Slides will Be Posted to CLS Blog http://computationallegalstudies.com/
  51. 51. This is Only The BeginningStay Tuned for More in 2012 :) daniel martin katz michael j bommarito ii julie seaman adam candeub eugene agichtein

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