Articles, essays and research by Ralph Losey, collected in one chronological catalog. Explore current work on AI, cybersecurity and human judgment, or return to the earlier writing on predictive coding and digital evidence.
Predictive coding uses machine learning to identify relevant documents through human review and feedback. This collection preserves the original dates and terminology of that work. Historical law and software should be checked before present-day use.
2023
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Second Grader Version by Chat GPT of the Blog Earlier Today “Four Generations of Predictive Coding Software, from 2009 to Today” (February 2023)
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Four Generations of Predictive Coding Software, the Background and History of Predictive Coding (February 2023)
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Chat GPT Helps Explains My Active Machine Learning Method of Evidence Retrieval (January 2023)
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A Buddhist AI – “The DUDE” – Explains the Eight Steps of Hybrid Multimodal Document Review with Help from a Human Lawyer (January 2023)
2018
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Transparency in a Salt Lake TAR Pit? (November 2018)
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Do TAR the Right Way with “Hybrid Multimodal Predictive Coding 4.0” (October 2018)
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TAR Course Expands Again: Standardized Best Practice for Technology Assisted Review (February 2018)
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Iterated Four-Step Work Flow for Active Machine Training to Help Attorneys Locate Relevant Evidence (January 2018)
2017
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Analysis of Important New Case on Predictive Coding by a Rising New Judicial Star: “Winfield v. City of New York” (December 2017)
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WHY I LOVE PREDICTIVE CODING: Making Document Review Fun Again with Mr. EDR and Predictive Coding 4.0 (December 2017)
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New Homework Added to the TAR Course and a New Video Added to AI-Ethics (September 2017)
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Mark Zuckerberg and the Hacker Way: Be Open and Build Social Value (More New Videos Added to the TAR Course) (July 2017)
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Hacker Way: Focus on Impact, Be Fast, Be Bold (New Videos Added to the TAR Course) (July 2017)
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Added to the 13th and 14th Class of the TAR Course (June 2017)
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Control Sets in Legal Document Review are Inaccurate and Addition of a New First Class to the TAR Course (June 2017)
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TAR Course Updated to Add Video on Step Seven and the All Important “Stop Decision” (June 2017)
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Another TAR Course Update and a Mea Culpa for the Negative Consequences of ‘Da SIlva Moore’ (June 2017)
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More Enhancements to the TAR Course with New Videos on the Importance of Keyword Search, Blair Maron, the Search Quadrant and a Similarity Search Tip (May 2017)
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Team’s TAR Course has been Updated and Expanded (May 2017)
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New Video to Introduce the TAR Course (April 2017)
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Announcing the e-Discovery Team’s TAR Training Program: 16 Classes, All Online, All Free – The TAR Course (March 2017)
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e-Discovery Team’s 2016 TREC Report: Once Again Proving the Effectiveness of Our Standard Method of Predictive Coding (February 2017)
2016
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PERSPECTIVES ON PREDICTIVE CODING And Other Advanced Search Methods for the Legal Practitioner (December 2016)
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Predictive Coding 4.0 – Nine Key Points of Legal Document Review and an Updated Statement of Our Workflow – Part Seven (November 2016)
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Predictive Coding 4.0 – Nine Key Points of Legal Document Review and an Updated Statement of Our Workflow – Part Six (October 2016)
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Predictive Coding 4.0 – Nine Key Points of Legal Document Review and an Updated Statement of Our Workflow – Part Five (October 2016)
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Predictive Coding 4.0 – Nine Key Points of Legal Document Review and an Updated Statement of Our Workflow – Part Four (October 2016)
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Predictive Coding 4.0 – Nine Key Points of Legal Document Review and an Updated Statement of Our Workflow – Part Three (September 2016)
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Predictive Coding 4.0 – Nine Key Points of Legal Document Review and an Updated Statement of Our Workflow – Part Two (September 2016)
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Predictive Coding 4.0 – Nine Key Points of Legal Document Review and an Updated Statement of Our Workflow – Part One (September 2016)
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Five Reasons You Should Read the ‘Practical Law’ Article by Maura Grossman and Gordon Cormack called “Continuous Active Learning for TAR” (April 2016)
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Document Review and Predictive Coding: an introductory course with 7 videos and 2,982 words (March 2016)
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Document Review and Predictive Coding: Video Talks – Part Seven (March 2016)
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Document Review and Predictive Coding: Video Talks – Part Six (March 2016)
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Document Review and Predictive Coding: Video Talks – Part Five (March 2016)
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Document Review and Predictive Coding: Video Talks – Part Four (March 2016)
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Document Review and Predictive Coding: Video Talks – Part Three (March 2016)
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Document Review and Predictive Coding: Video Talks – Part Two (March 2016)
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Document Review and Predictive Coding: Video Talks – Part One (March 2016)
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Why I Love Predictive Coding (February 2016)
2015
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Predictive Coding 3.0 – The method is here described as an eight-part work flow (October 2015)
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Predictive Coding 3.0 (October 2015)
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Short Blog this Month Because I’m Busy at TREC (August 2015)
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500th Blog – End of One Era, Beginning of Another (February 2015)
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Introducing “ei-Recall” – A New Gold Standard for Recall Calculations in Legal Search – Part Three (January 2015)
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Introducing “ei-Recall” – A New Gold Standard for Recall Calculations in Legal Search – Part Two (January 2015)
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Introducing “ei-Recall” – A New Gold Standard for Recall Calculations in Legal Search – Part One (January 2015)
2014
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In Legal Search Exact Recall Can Never Be Known (December 2014)
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Visualizing Data in a Predictive Coding Project – Part Three (November 2014)
Publication details and related writing
Related writing and versions:
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Visualizing Data in a Predictive Coding Project – Part Two (November 2014)
Publication details and related writing
Related writing and versions:
About this catalog
Confirmed duplicates and minor variants share one entry, with available publication editions kept together. Unresolved versions remain separate pending review. The Historical Archive is optional in the main list. Other restricted-only works are omitted. Approved restorations are labeled while source access remains password-protected. Books remain in Books & Recognition.
Source: e-Discovery Team and Hacker Way publication records, plus outside articles listed in Ralph’s existing bibliography. Dates known only to the year are displayed as years. The practical era boundary for generative AI is November 2022.