| Explainable text classification in legal document review a case study of explainable predictive coding R Chhatwal, P Gronvall, N Huber-Fliflet, R Keeling, J Zhang, H Zhao 2018 IEEE international conference on big data (Big Data), 1905-1911, 2018 | 33 | 2018 |
| Empirical evaluations of preprocessing parameters' impact on predictive coding's effectiveness R Chhatwal, N Huber-Fliflet, R Keeling, J Zhang, H Zhao 2016 IEEE International Conference on Big Data (Big Data), 1394-1401, 2016 | 24 | 2016 |
| Empirical comparisons of CNN with other learning algorithms for text classification in legal document review R Keeling, R Chhatwal, N Huber-Fliflet, J Zhang, F Wei, H Zhao, Y Shi, ... 2019 IEEE International Conference on Big Data (Big Data), 2038-2042, 2019 | 23 | 2019 |
| Empirical evaluations of active learning strategies in legal document review R Chhatwal, N Huber-Fliflet, R Keeling, J Zhang, H Zhao 2017 IEEE International Conference on Big Data (Big Data), 1428-1437, 2017 | 23 | 2017 |
| Separating the Privileged Wheat from the Chaff-Using Text Analytics and Machine Learning to Protect Attorney-Client Privilege R Keeling, N Huber-Fliflet, J Zhang, RP Chhatwal Rich. JL & Tech. 25, 1, 2018 | 12 | 2018 |
| Humans Against the Machines: Reaffirming the Superiority of Human Attorneys in Legal Document Review and Examining the Limitations of Algorithmic Approaches to Discovery R Keeling, R Chhatwal, P Gronvall, N Huber-Fliflet Rich. JL & Tech. 26, 1, 2019 | 11 | 2019 |
| CNN application in detection of privileged documents in legal document review R Chhatwal, R Keeling, P Gronvall, N Huber-Fliflet, J Zhang, H Zhao 2020 IEEE international conference on big data (big data), 1485-1492, 2020 | 9 | 2020 |
| The Burden of Privacy in Discovery RD Keeling, R Mangum Sedona Conf. J. 20, 415, 2019 | 9 | 2019 |
| Neither Friend nor Follower: Ethical Boundaries on the Lawyer's Use of Social Media R Keeling, T Weerasingha-Cote, JP Schnapper-Casteras Cornell JL & Pub. Pol'y 24, 145, 2014 | 9 | 2014 |
| Using Machine Learning on Legal Matters: Paying Attention to the Data Behind the Curtain R Keeling, R Chhatwal, N Huber-Fliflet, J Zhang, H Zhao Hastings Sci. & Tech. LJ 11, 9, 2020 | 5 | 2020 |
| An Empirical Study of the Application of Machine Learning and Keyword Terms Methodologies to Privilege-Document Review Projects in Legal Matters P Gronvall, N Huber-Fliflet, J Zhang, R Keeling, R Neary, H Zhao 2018 IEEE International Conference on Big Data (Big Data), 3282-3291, 2018 | 5 | 2018 |
| Vicarious liability risks facing the financial industry under the FCPA I Adams, R Keeling Geo. Mason J. Int'l Com. L. 9, 1, 2017 | 5 | 2017 |
| The Challenge of Collecting Data from Mobile Devices in eDiscovery RD Keeling Sedona Conf. J. 18, 177, 2017 | 3 | 2017 |
| Empirical Study of LLM Fine-Tuning for Text Classification in Legal Document Review F Wei, R Keeling, N Huber-Fliflet, J Zhang, A Dabrowski, J Yang, Q Mao, ... 2023 IEEE International Conference on Big Data (BigData), 2786-2792, 2023 | 1 | 2023 |
| Integration of Rule-Based Reasoning and Transfer Learning in Legal Document Review R Keeling, A Guo, P Gronvall, N Huber-Fliflet, J Zhang 2022 IEEE International Conference on Big Data (Big Data), 2279-2284, 2022 | 1 | 2022 |
| Humans against the Machines: Still Reaffirming the Superiority of Human Attorneys in Legal Document Review R Keeling, R Chhatwal, P Gronvall, N Huber-Fliflet Rich. JL & Tech. 27, 1, 2020 | 1 | 2020 |
| Document Review: You're Doing It Wrong Cognitive Psychology and the Attorney's Mental Plate R Keeling UALR L. Rev. 42, 257, 2019 | 1 | 2019 |
| Lessons from Libya: Regulatory Scrutiny Has Increased FCPA Risks for Private Equity and Hedge Funds in Their Dealings with Sovereign Wealth Funds R Keeling, I Adams, J Lupton Int'l Fin. L. Rev. 33, 47, 2014 | 1 | 2014 |
| Proportionality & Privacy: The Burden of Privacy in Discovery RD Keeling, R Mangum Judicature 105, 66, 2021 | | 2021 |
| THE SEDONA CONFERENCE JOURNAL® RD Keeling, C Mills | | |
