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
-
Second Grader Version by Chat GPT of the Blog Earlier Today “Four Generations of Predictive Coding Software, from 2009 to Today” (February 2023)
-
Four Generations of Predictive Coding Software, the Background and History of Predictive Coding (February 2023)
-
Chat GPT Helps Explains My Active Machine Learning Method of Evidence Retrieval (January 2023)
-
A Buddhist AI – “The DUDE” – Explains the Eight Steps of Hybrid Multimodal Document Review with Help from a Human Lawyer (January 2023)
2018
-
Transparency in a Salt Lake TAR Pit? (November 2018)
-
Do TAR the Right Way with “Hybrid Multimodal Predictive Coding 4.0” (October 2018)
-
TAR Course Expands Again: Standardized Best Practice for Technology Assisted Review (February 2018)
-
Iterated Four-Step Work Flow for Active Machine Training to Help Attorneys Locate Relevant Evidence (January 2018)
2017
-
Analysis of Important New Case on Predictive Coding by a Rising New Judicial Star: “Winfield v. City of New York” (December 2017)
-
WHY I LOVE PREDICTIVE CODING: Making Document Review Fun Again with Mr. EDR and Predictive Coding 4.0 (December 2017)
-
TAR Course Updated to Add Video on Step Seven and the All Important “Stop Decision” (June 2017)
-
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)
-
New Video to Introduce the TAR Course (April 2017)
-
Announcing the e-Discovery Team’s TAR Training Program: 16 Classes, All Online, All Free – The TAR Course (March 2017)
-
e-Discovery Team’s 2016 TREC Report: Once Again Proving the Effectiveness of Our Standard Method of Predictive Coding (February 2017)
2016
-
Predictive Coding 4.0 – Nine Key Points of Legal Document Review and an Updated Statement of Our Workflow – Part Seven (November 2016)
-
Predictive Coding 4.0 – Nine Key Points of Legal Document Review and an Updated Statement of Our Workflow – Part Three (September 2016)
-
Predictive Coding 4.0 – Nine Key Points of Legal Document Review and an Updated Statement of Our Workflow – Part Two (September 2016)
2014
-
Predictive Coding and the Proportionality Doctrine: a Marriage Made in Big Data (2014)
Publication details and related writing
26 Regent U. Law Review 1 (2014), as listed in the existing Writings bibliography. Publication year requires verification against the journal.
- Outside Publication: Predictive Coding and the Proportionality Doctrine: a Marriage Made in Big Data (2014)
2013
-
Predictive Coding and Proportionality: A Marriage Made In Heaven (December 2013)
-
Bad Robot! (May 2013)
-
Predictive Coding’s Erroneous Zones Are Emerging Junk Science (April 2013)
-
Reinventing the Wheel: My Discovery of Scientific Support for “Hybrid Multimodal” Search (April 2013)
-
Borg Challenge: Part Three where I continue my search through round 16 of machine training (April 2013)
Publication details and related writing
- e-Discovery Team: Borg Challenge: Part Three where I continue my search through round 16 of machine training (April 2013)
Related writing and versions:
2012
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.