Publications




Jack G. Conrad

  1. Jack G. Conrad and L. Karl Branting, "Introduction to the Special Issue on Artificial Intelligence and Law," Journal of Artificial Intelligence and Law, 26(2), Springer, Netherlands, pp. 98-101, May 2018.
  2. Jack G. Conrad and Khalid Al-Kofahi, "Scenario Analytics: Analyzing Jury Verdicts to Evaluate Legal Case Outcomes," In Proceedings of the 16th International Conference on Artificial Intelligence and Law (ICAIL 2017) (London, UK), ACM Press, pp. 9-18, 2017.
  3. Jack G. Conrad and Michael Bender, "Semi-Supervised Events Clustering in News Retrieval," Proceedings of the First International Workshop on Recent Trends in News Retrieval (NewsIR'16), in conjunction with ECIR 2016 (Padua, Italy), CEUR-WS Online, pp. 21-26, 2016.
  4. Jack G. Conrad and John Zeleznikow, "The Role of Evaluation in AI and Law: An Examination of its Different Forms in the AI and law Journal," In Proceedings of the 15th International Conference on Artificial Intelligence and Law (ICAIL 2015) (San Diego, CA), ACM Press, pp. 181-186, 2015.
  5. Jack G. Conrad and John Zeleznikow, "The Significance of Evaluation in AI and Law: A Case Study Re-examining ICAIL Proceedings," In Proceedings of the 14th International Conference on Artificial Intelligence and Law (ICAIL 2013) (Rome, Italy), ACM Press, pp. 186-191, 2013.
  6. Jack G. Conrad and Qiang Lu,"Next Generation Legal Search -- It's Already Here," In VoxPopulII blog, Legal Information Institute (LII), Cornell University, NY, 28 March 2013.
  7. Jack G. Conrad, Review of "Risk Analysis for Intellectual Property Litigation," In Journal of Artificial Intelligence and Law, Special 25th Anniversary of ICAIL Issue, 20(3), Springer, Netherlands, Sept. 2012.
  8. Jack G. Conrad, Review of "Acknowledging Insufficiency in the Evaluation of Legal Knowledge-based systems: Strategies towards a Broad based Evaluation Model," In Journal of Artificial Intelligence and Law, Special 25th Anniversary of ICAIL Issue, 20(3), Springer, Netherlands, Sept. 2012.
  9. Qiang Lu and Jack G. Conrad, "Bringing Order to Legal Documents: An Issue-based Recommendation System via Cluster Association," In Proceedings of the Fourth International Conference on Knowledge Engineering and Ontology Development (KEOD 2012) (Barcelona, Spain), SciTePress DL, pp. 76-88, 2012.
  10. Qiang Lu, Jack G. Conrad, Khalid Al-Kofahi, William Keenan, "Legal Document Clustering With Build-in Topic Segmentation," In Proceedings of the 2011 ACM-CIKM Twentieth International Conference on Information and Knowledge Management (CIKM 2011) (Glasgow, Scotland), ACM Press, New York, pp. 383-392, 2011.
  11. Jack G. Conrad, Christopher Dozier, Hugo Molina-Salgado, Merine Thomas and Sriharsha Veeramachaneni, "Public Record Aggregation Using Semi-supervised Entity Resolution," In Proceedings of the 13th International Conference on Artificial Intelligence and Law (ICAIL 2011) (Pittsburgh, PA), ACM Press, New York, pp. 239-248, 2011.
  12. Jack G. Conrad, "E-Discovery Revisited: The Need for Artificial Intelligence Beyond Information Retrieval," In Journal of Artificial Intelligence and Law, Special Issue on "E-Discovery", 18(4), Springer, Netherlands, pp. 321-345, Dec. 2010.
  13. Jack G. Conrad, Jochen L. Leidner, Frank Schilder and Ravi Kondadadi, "Query-based Opinion Summarization for Legal Blog Entries," In Proceedings of the 12th International Conference on Artificial Intelligence and Law (ICAIL 2009) (Barcelona, Spain), ACM Press, pp. 167-176, 2009.
  14. Frank Schilder, Ravi Kondadadi, Jochen Leidner and Jack G. Conrad, "Thomson Reuters at TAC 2008: Aggressive Filtering with FastSum for Update and Opinion Summarization," In Proceedings of the First Text Analysis Conference (TAC08) (Gaithersburg, MD), NIST, Washington, D.C., Nov. 2008.
  15. Frank Schilder, Jochen L. Leidner, Jack G. Conrad, and Ravikumar Kondadadi, "Polarity Filtering for Sentiment Summarization," Poster presented at the First Text Analysis Conference (TAC08) (Gaithersburg, MD), NIST, Washington, D.C., Nov. 2008.
  16. Jack G. Conrad and Frank Schilder, "Opinion Mining in Legal Blogs," In Proceedings of the 11th International Conference on Artificial Intelligence and Law (ICAIL 2007) (Stanford University, Palo Alto, CA), ACM Press, New York, pp. 231-236, 2007.
  17. Jack G. Conrad and Edward L. Raymond, Jr., "Essential Deduplication Functions for Transactional Databases in Law Firms," In Proceedings of the 11th International Conference on Artificial Intelligence and Law (ICAIL 2007) (Stanford University, Palo Alto, CA), ACM Press, New York, pp. 261-270, 2007.
  18. Jack G. Conrad, "E-Discovery Revisited: A Broader Perspective for IR Researchers," In Proceedings of the Workshop on Supporting Search and Sensemaking for Electronically Stored Information in Discovery at 11th International Conference on Artificial Intelligence and Law (ICAIL07 DESI Workshop) (Stanford University, Palo Alto, CA), DESI Press, pp. 25-27, 2007.
  19. Jack G. Conrad and Cindy P. Schriber, "Managing Déjà Vu: Collection Building for Identifying Non-Identical Duplicate Documents," In Journal of the American Society for Information Science and Technology (JASIST), 57(7), John Wiley & Sons, Hoboken, NJ, pp. 619-630, 2006.
  20. Jack G. Conrad, Khalid Al-Kofahi, Ying Zhao and George Karypis, "Effective Document Clustering for Large Heterogeneous Law Firm Collections," In Proceedings of the 10th International Conference on Artificial Intelligence and Law (ICAIL 2005) (Bologna, Italy), ACM Press, New York, pp. 177-187, 2005.
  21. Jack G. Conrad and Cindy P. Schriber, "Constructing a Text Corpus for Inexact Duplicate Detection," In Proceedings of the 27th Annual International ACM-SIGIR Conference on Research & Development in Information Retrieval (SIGIR 2004) (Sheffield, England), ACM Press, New York, pp. 582-583, 2004.
  22. Jack G. Conrad, Xi S. Guo, and Cindy P. Schriber "Online Duplicate Document Detection: Signature Reliability in a Dynamic Retrieval Environment," In Proceedings of the 2003 ACM-CIKM Twelfth International Conference on Information and Knowledge Management (CIKM03) (New Orleans, Louisiana), ACM Press, New York, pp. 243-252, 2003.
  23. Jack G. Conrad and Joanne S. Claussen, "Client-System Collaboration in Legal Corpus Selection in a Large Production Environment," In Proceedings of 9th International Conference on Artificial Intelligence and Law (ICAIL 2003) (Edinburgh, Scotland), ACM Press, pp. 262-273, 2003.
  24. Jack G. Conrad and Joanne S. Claussen, "Validation: A Critical First Step in the Evaluation of Systems for Legal Corpus Determination," Workshop on Evaluation at 9th International Conference on Artificial Intelligence and Law (ICAIL 2003--Evaluation Workshop) (Edinburgh, Scotland), ACM Press, pp. 1-9, 2003.
  25. Jack G. Conrad and Joanne R.S. Claussen, "Early User-System Interaction for Database Selection in Massive Domain-specific Online Environments," Transactions on Information Systems (TOIS), 21(1), ACM Press, New York, pp. 94-131, 2003.
  26. Jack G. Conrad, Changwen Yang, and Joanne S. Claussen, "Global vs. Localized Search: A Comparison of Database Selection Methods in a Hierarchical Environment," In Proceedings of the 2002 Annual Meeting of the American Society for Information Science and Technology (ASIST 2002) (Washington, D.C.), Information Today, Medford, NJ, pp. 130-139, 2002.
  27. Jack G. Conrad, Xi S. Guo, Peter Jackson, and Monem Meziou, "Database Selection Using Complete Physical and Acquired Logical Collection Resources in a Massive Domain-Specific Operational Environment," In Proceedings of the 28th International Conference on Very Large Databases (VLDB02) (Hong Kong), pp. 71-82, 2002.
  28. Jack G. Conrad, Changwen Yang, and Joanne S. Claussen, "Effective Collection Metasearch in a Hierarchical Environment: Global vs. Localized Retrieval Performance," In Proceedings of the 25th Annual International ACM-SIGIR Conference on Research & Development in Information Retrieval (SIGIR 2002) (Tampere, Finland), Springer-Verlag, London, pp. 371-372, 2002.
  29. Jack G. Conrad, Changwen Yang, and Joanne S. Claussen, "Global vs. Restricted Search Performance: A Comparison of Database Selection Techniques in a Hierarchically Structured Environment." In Proceedings of the 2001 Annual Meeting of the American Society for Information Science and Technology (ASIST 2001) (Washington, D.C.), Information Today, Medford, NJ, pp. 674-675, 2001.
  30. Jack G. Conrad and Daniel P. Dabney, "Automatic Recognition of Distinguishing Negative Indirect History Language in Judicial Opinions." In Proceedings of the 2001 ACM-CIKM Tenth International Conference on Information and Knowledge Management (CIKM 2001) (Atlanta, Georgia), ACM Press, New York, pp. 287-294, 2001.
  31. Jack G. Conrad and Daniel P. Dabney, "A Cognitive Approach to Judicial Opinion Structure: Applying Domain Expertise to Component Analysis." In Proceedings of 8th International Conference on Artificial Intelligence and Law (ICAIL 2001) (St. Louis, Missouri), ACM Press, New York, pp. 1-11, 2001.
  32. Jack G. Conrad and Daniel P. Dabney, "The Structure of Judicial Opinions: Identifying Internal Components and their Relationships." In El Hadi, Maniez, and Pollitt (Eds.), Structures and Relations in Knowledge Organization, Proceedings of the 5th International ISKO Conference (ISKO 1998) (Lille, France), Ergon-Verlag Press, Wurtzburg, Germany, pp. 413- , 1998.
  33. Jack G. Conrad and Mary H. Utt, "A System for Discovering Relationships by Feature Extraction from Text Databases." In W.B. Croft and C.J. van Rijsbergen (Eds.), Proceedings of the 17th Annual International ACM-SIGIR Conference on Research & Development in Information Retrieval (SIGIR 1994) (Dublin, Ireland), Springer-Verlag, London, pp. 260-270, 1994.

Patents & Patent Applications

  1. Domingo Huh, Julian Brooke, Elnaz Davoodi, Jack G. Conrad, Systems and Methods for Context Aware Searching, Thomson Reuters, Research & Development, U.S. Patent App. Number 16/181,729, November 6, 2018.
  2. Jack G. Conrad, Michael J. Bender, System and Engine for Seeded Clustering of News Events, Thomson Reuters, Research & Development, U.S. Patent App. Number 20170235820A1, August 17, 2017.
  3. Jack G. Conrad, Khalid Al-Kofahi, Scenario Analytics System, Thomson Reuters, Research & Development, U.S. Patent App. Number 20170364827A1, June 16, 2017.
  4. Jack G. Conrad, Mans Olof-Ors, Peter Pircher, Systems and Methods for Data Evaluation and Classification, U.S. Patent App. Number 20170017387A1, January 19, 2017.
  5. Peter Pircher, Jochen Lothar Leidner, Aaron Cooper, Daniel Dabney, Jonathan Medin, Jack G. Conrad, Synchronizing Annotations between Printed Documents and Electronic Documents, U.S. Patent Number 9,436,665, September 6, 2016.
  6. Qiang Lu, Jack G. Conrad, Michael Dahn, William M. Keenan, Systems, Methods, and Interfaces for Extending Legal Search Results, Thomson Reuters, Research & Development, U.S. Patent Number 9,177,050, November 3, 2015 and 9,367,604, June 14, 2016.
  7. Jack G. Conrad, Forrest Rhoads, Dan Dabney, Bob Haschart, Howard Turtle, Kinley Larntz, Po Yang, and Dan Gannon, System and Method of Processing Formatted Text Documents in a Database, Thomson Reuters, Research & Development, U.S. Patent Number 8,600,974, December 3, 2013.
  8. Jack G. Conrad and Joanne R.S. Claussen, Information Retrieval Systems with Database-Selection Aids, Thomson Reuters, Research & Development, U.S. Patent Number 8,543,564, September 24, 2013.
  9. Jack G. Conrad, Joanne C. Claussen, Jie Lin, , Information Retrieval Systems with Duplicate Document Detection and Presentation Functions, Thomson Reuters, Research & Development, U.S. Patent Number 7,809,695, October 5, 2010.
  10. Jack G. Conrad, Christopher C. Dozier, Sriharsha Veeramachaneni, Systems, Methods, and Software for Entity Relationship Resolution, Thomson Reuters, Research & Development, U.S. Patent App. Number 20090198678A1, August 6, 2009.



Jack at ISKO 5, Lille, France




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