Minneapolis, MN +1.612.790.4082	Manage and engage in the delivery of critical artifacts and infrastructure for research and business directed projects across a diverse spectrum of domains, especially for legal, tax, and news. Focus on a broad range of technical applications involving AI and ML for textual data. Published more than 50 peer reviewed research papers. Awarded nine patents. Areas of AI expertise include research in the fields of information retrieval, natural language processing, data mining, named entity resolution, clustering.

            Passionate about the power of AI transformation in enterprise environments.

Experience

Director, Applied Research, TR Labs, Thomson Reuters (2017-present) Minneapolis, MN, USA

• Direct projects involing deep learning, data mining, and natural language processing to power business systems
• Focus on a broad range of technical application areas involving artificial intelligence, machine learning and textual data processing

Lead Research Scientist, R&D/C3, Thomson Reuters (2013-2016) Minneapolis, MN, USA

• Delivered critical artifacts and infrastructure for research and business directed projects across a diverse spectrum of domains that have included legal, tax and news.

Lead Research Scientist, Catalyst Lab, Thomson Reuters (2011-2013) Baar, ZG, Switzerland

• Fostered cross-group collaboration and communication in the process of implementing and deploying technology to meet business needs.

Senior Research Scientist, R&D, Thomson Reuters (2008-2011) Minneapolis, MN, USA

• Researched and implemented technologies for search and entity-resolution-related applications in large operational environments (leveraging technologies such as information clustering, information retrieval, and information extraction).

Skills

Programming: Python, R, Git, SQL, HTML/CSS, Java, C

Python Tools: Jupyter Notebook, Scikit-learn, Pandas, Numpy, Spacy, Seaborn, Matplotlib

Cloud-based Applications: AWS resources, incl. Sagemaker

Project Management Tools: AzureDevOps (ADO), Teams, Sharepoint

Education

M.S. in Computer Science, University of Massachusetts–Amherst

• Specialization in Information Retrieval
• Thesis on person-company entity search accepted as full-length paper and published at SIGIR
• Research Assistantship with Prof. Bruce W. Croft (2 years)
• Teaching Assistantship with Dr. Bill Verts (1 year)

M.A. in English/Linguistics, University of British Columbia–Vancouver

• Teaching Assistantship: Taught first-year English course at UBC during degree work (3 years)

B.S. in Electrical Engineering, Marquette University (Milwaukee, WI)

• Honors: Summa Cum Laude
• Minor: English
• Honor Societies:
  • Eta Kappa Nu (Electrical Engineering)
  • Tau Beta Pi (Engineering)
  • Alpha Sigma Nu (Jesuit)
• Internship: 3M Company, over 6 semesters during last 3 years of degree program
• Student Council Representative

Languages

• English: native speaker

• French: conversational

Awards

• Thomson Reuters Community Champion Award, 1st Place (2012), in support of the Young Heroes Foundation of Swaziland. [Article]

• EarthShares Champion of the Year (2000), for work to expand choice in company’s Employee Giving Campaign.

• Sargent Shriver Peace Worker of the Year, one of two finalists (1990), for secondary school teaching and rural water project successes while serving in the U.S. Peace Corps in southern and West Africa.

Professional Community Service

Executive Committees

• International Association for Artificial Intelligence and Law (IAAIL.org)
  • President (2014-2015)
  • Vice-President (2012-2013)
  • Executive Committee (2008-2011)
  • Nominations Committee (2016-2017)

Journal Editorial Boards

• Artificial Intelligence and Law

Conference Review Committees

• SIGIR, CIKM, ISWC, SAC, ICAIL, JURIX

Data Science Competition Judging Committees

• MUDAC 2020, MinneMUDAC 2023

Publications

• Dell Zhang, Frank Schilder, Jack G. Conrad, Masoud Makrehchi, et al., Making a Computational Attorney, In Proceedings of the SIAM International Conference on Data Mining (SDM 2023), Blue Sky Track (Minneapolis, MN USA), SIAM Press, 2023.

• Andrew Vold and Jack G. Conrad, Using Transformers to Improve Answer Retrieval for Legal Questions, In Proceedings of the 18th International Conference on Artificial Intelligence and Law (ICAIL 2021) (Sao Paulo, Brazil) [Online], ACM Press, 245-249, 2021.

• Filippo Pompili, Jack G. Conrad and Carter Kolbeck, Exploiting Search Logs to Aid in Training and Automating Infrastructure for Question Answering in Professional Domains, In Proceedings of the 17th International Conference on Artificial Intelligence and Law (ICAIL 2019) (Montreal, QB), ACM Press, pp. 93-102, 2019.

• 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.

• 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.

• 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.

• 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.

• 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.

• 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, New York, pp. 167-176, 2009.

• 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.

• 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.

• 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.

• 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.

• 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.

• 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 (CIKM 2003) (New Orleans, Louisiana), ACM Press, New York, pp. 243-252, 2003.

• 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, New York, pp. 262-273, 2003.

• 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.

• 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.

• 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 (VLDB 2002) (Hong Kong), pp. 71-82, 2002.

• 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.

• 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.

• 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.

Journal Articles

• Jack G. Conrad, Debasis Ganguly, Kripabandhu Ghosh, Saptarshi Ghosh, Introduction to the Special Issue on Applications and Evaluation of Large Language Models in the Legal Domain, Journal of Artificial Intelligence and Law, To Appear, 32(3), Springer, Netherlands, October 2024.

• Michał Araszkiewicz, Kevin Ashley, L. Karl Branting, Jack G. Conrad, Serena Villata, Adam Wyner, Thirty Years of Artificial Intelligence and Law: the Third Decade, Journal of Artificial Intelligence and Law, 30(4), Springer, Netherlands, 2022.

• Jack G. Conrad and L. Karl Branting, Introduction to the Special Issue on Legal Text Analytics, Journal of Artificial Intelligence and Law, 26(2), Springer, Netherlands, pp. 98-101, May 2018.

• Katie Atkinson, Jack G. Conrad, Anne Gardner, Ted Sichelman, Fifteenth International Conference on Artificial Intelligence and Law (ICAIL 2015), AI Magazine, 37(1), pp. 107-108, 2016.

• Trevor Bench-Capon, Michał Araszkiewicz, Kevin Ashley, Jack G. Conrad, et al., A History of AI and Law in 50 papers: 25 years of the International Conference on AI and Law, Journal of Artificial Intelligence and Law, 20(3), Springer, Netherlands, pp. 215-319, Sept. 2012.

• Jack G. Conrad, E-Discovery Revisited: The Need for Artificial Intelligence Beyond Information Retrieval, Journal of Artificial Intelligence and Law, Special Issue on “E-Discovery”, 18(4), Springer, Netherlands, pp. 321-345, Dec. 2010.

• Jack G. Conrad and Cindy P. Schriber, Managing Déjà Vu: Collection Building for Identifying Non-Identical Duplicate Documents, Journal of the American Society for Information Science and Technology (JASIST), 57(7), John Wiley & Sons, Hoboken, NJ, pp. 919-930, 2006.

• 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.

Workshop Papers/Presentations

• Jack G. Conrad, 40 Years of AI and Law: Past Capabilities, Present Applications, and Future Directions, School of AI and Law, Dhirubhai Ambani Centre for Technology and Law, D. A. Institute of Information and Communication Technology (DA-IICT), (Gandhinagar, Gujarat, India), April 5, 2024.

• Jack G. Conrad and Daniel W. Linna Jr., Introduction to LegalAIIA 2023, Proceedings of the Third International Workshop on AI and Intelligent Assistance for Legal Professionals in the Digital Workplace (ICAIL 2023 Workshop – LegalAIIA) (Braga, Portugal), CEUR-WS Online, pp. 1-2, 2023.

• Jack G. Conrad, The Impact of ChatGPT on Legal Research: The Missing Pieces of the Puzzle, International Legal Informatics Symposium (IRIS 2023), (Vienna, Austria), March 28, 2023.

• Jack G. Conrad and Jeremy Pickens, Introduction to LegalAIIA 2021, Proceedings of the Second International Workshop on AI and Intelligent Assistance for Legal Professionals in the Digital Workplace (ICAIL 2021 Workshop – LegalAIIA) (Sao Paulo, Brazil), CEUR-WS Online, pp. 1- , 2021.

• Jack G. Conrad and Jeremy Pickens, Introduction to LegalAIIA 2019, Proceedings of the First International Workshop on AI and Intelligent Assistance for Legal Professionals in the Digital Workplace (ICAIL 2019 Workshop – LegalAIIA) (Montreal, QB, Canada), CEUR-WS Online, pp. 1- , 2019.

• Jack G. Conrad, 30 Years of AI and Law: Legal Data Analytics in the Long View — Looking Back, Looking Forward, at the First International Workshop on Legal Data Analytics and Mining (LeDAM), co-located with the 27th ACM International Conference on Information and Knowledge Management (CIKM 2018), (Torino, Italy), Oct. 22, 2018.

• 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.

• Jack G. Conrad, Jochen L. Leidner, Frank Schilder, Professional Credibility: Authority on the Web, Proceedings of the Second Workshop on Information Credibility on the Web (CIKM08 Credibility Workshop – WICOW08) (Napa Valley, CA), ACM Press, pp. 85-88, 2008.

• Jack G. Conrad, Tonya Custis, Christopher Dozier, Terry Heinze, Marc Light, Sriharsha Veeramachaneni, Linking, Mapping, and Clustering Entity Records in Information-based Solutions for Business and Professional Customers, In Proceedings of the Workshop on Resources and Evaluation for Identity Matching, Entity Resolution and Entity Management at the Sixth International Conference on Language Resources and Evaluation (LREC 2008 – Linking Workshop), (Marrakech, Morocco), ELRA Press, 8 pgs, 2008.

• 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 (ICAIL 2007 DESI Workshop) (Stanford University, Palo Alto, CA), DESI Press, pp. 25-27, 2007.

• 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.

Tutorials

• Debasis Ganguly, Jack G. Conrad, Kripabandhu Ghosh, Saptarshi Ghosh, Pawan Goyal, Paheli Bhattacharya, Shubham Kumar Nigam, Shounak Paul, Legal IR and NLP: the History, Challenges, and State-of-the-Art, Proceedings of the 45th European Conference on Information Retrieval (ECIR 2023) (Dublin, Ireland), ACM Press, 8 pages, April 6, 2023.

• Jack G. Conrad, Saptarshi Ghosh, Shounak Paul, Shirsha Ray Chaudhuri, AI & Law: Formative Developments, State-of-the-Art Approaches, Challenges & Opportunities, Proceedings of the 6th Joint International Conference on Data Science & Management of Data (10th ACM IKDD CODS and 28th COMAD) (CODS-COMAD 2023) (Mumbai, India), ACM Press, pp. 320-323, January 4, 2023.

• Jack G. Conrad, 30 Years of AI and Law: Legal Data Analytics in the Long View – Looking Back, Looking Forward, Symposium on Artificial Intelligence and Law (SAIL 2021), Indian Institute of Technology (IIT), June 1, 2021.

Patents

1. Jack G. Conrad, Michael J. Bender, System and Engine for Seeded Clustering of News Events, Thomson Reuters, Research & Development, U.S. Patent App. Number 11,663,254, May 30, 2023.

2. Jack G. Conrad, Mans Olof-Ors, Peter Pircher, Systems and Methods for Data Evaluation and Classification, Thomson Reuters, TR Labs, U.S. Patent Number 11,449,218, September 20, 2022.

3. Domingo Huh, Julian Brooke, Elnaz Davoodi, Jack G. Conrad, Systems and Methods for Context Aware Searching, Thomson Reuters, TR Labs, U.S. Patent Number 11,222,027, January 11, 2022.

4. Jack G. Conrad and Joanne R.S. Claussen, Information Retrieval Systems with Database-Selection Aids, Thomson Reuters, Research & Development, U.S. Patent Number 10,650,058, May 12, 2020.

5. Jack G. Conrad, Christopher C. Dozier, Sriharsha Veeramachaneni, Systems, Methods, and Software for Entity Relationship Resolution, Thomson Reuters, Research & Development, U.S. Patent Number 9,600,509, May 21, 2017.

6. 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 9,483,472, November 1, 2016.

7. Peter Pircher, Jochen Lothar Leidner, Aaron Cooper, Dan Dabney, Jonathan Medin, and Jack G. Conrad, Synchronizing Annotations between Printed Documents and Electronic Documents, Thomson Reuters, TR Global Resources, U.S. Patent Number 9,436,665, September 6, 2016.

8. 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 9,367,604, June 14, 2016.

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.

Patent Applications

• Jack G. Conrad, Khalid Al-Kofahi, Scenario Analytics System, Thomson Reuters, Research & Development, U.S. Patent App. Number 20170364827A1, June 16, 2017.

Teaching Experience

• U.S. Peace Corps, High School Math & Science Instructor, Kingdom of Swaziland (3 years)
  • Taught 4-5 classes per year under the Swazi/British system, preparing students for their O-level exams.
• U.S. Corps de la Paix, Professeur du Mathématiques au Lycée, Republic of Togo (2 years)
  • Taught math classes for Terminale, Première and Seconde students, in French, preparing them for comprehensive end-of-year exams.

• Lab Instructor, First-year Computer Science course, University of Massachusetts–Amherst (1 year)

• English Instructor, First-year University English course, University of British Columbia–Vancouver (3 years)

• English Professor, University English Dept., East China University of Science & Technology (ECUST), Shanghai, Peoples Republic of China (1 year)
  • Trained graduate students and taught undergraduate courses in technical and business-related areas, sponsored by Department of Foreign Languages

Volunteer Activities

• President, Minnesota Returned Peace Corps Volunteers (MN RPCV) (1996-97)
  • Submitted successful bid to host National Peace Corps Association conference in St. Paul
• Board Member. Peace Corps Legacy Association (2023-present)
  • Managing the creation of the Peace Corps Plaza within the National Service Park being constructed near Rochester, MN

• Board Member, Friends of Swaziland/Eswatini (2010-present)

• Citizen Advocate, Bicycle Alliance of Minnesota (BikeMN) (2023-present)
  • Helping to launch a special “Share the Road” license plate for the state of Minnesota
• Board Secretary, McCarthy Family Heritage Forever Foundation (2023-present)
  • Overseeing the formation of a living, operating, historic farm & education center following the passing of the last of 4 generations of the McCarthy family in Minnesota
• Chess Club Moderator, FSCS Middle & Primary School, Eagan, MN (2013-2018)

Extracurricular/Athletic Activities

• Cycle over 10,000 kms/yr

• Explored and hiked in over 25 U.S. National Parks

• Ran the Chicago Marathon in under 3 3/4 hrs

• Cycled through 6 European countries in 6 days (800 kms/500 miles) to raise funds for Young Heroes of Swaziland, an organization supporting AIDS orphans

• Climbed Mount Kilimanjaro to Uhuru Peak (5,895m/19,341 ft), Tanzania, East Africa