Earlier professional writings, preserved with their original publication dates for research and historical context. Law, technology and terminology may have changed since publication.
This Historical Archive covers 2006–2017. For newer writing, or to search all years together, use the Complete Writing Index — all years.
Search includes the full text of public e-Discovery Team articles. Multiple search words narrow the results.
2017
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Good New 33-Point e-Discovery Checklist From Miami (October 2017)
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More Additions to AI-Ethics.com: Offer to Host a No-Press Conference to Mediate the Current Disputes on AI Ethics, Report on the Asilomar Conference and Report on Cyborg Law (September 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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True Confession: I Hacked a Website this Weekend (August 2017)
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How the Hacker Way Guided Me to e-Discovery, then AI Ethics (August 2017)
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The Great Debate in AI Ethics Surfaces on Social Media: Elon Musk v. Mark Zuckerberg (August 2017)
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E-DISCOVERY IS OVER: The big problems of e-discovery have now all been solved. Crises Averted. The Law now has bigger fish to fry. (July 2017)
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Going Deeper Into the “Hacker Way” Philosophy of Mark Zuckerberg and Most Other Silicon Valley Leaders (July 2017)
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Introduction to Hacker Way Philosophy (July 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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Another TAR Course Update and a Mea Culpa for the Negative Consequences of ‘Da SIlva Moore’ (June 2017)
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Team’s TAR Course has been Updated and Expanded (May 2017)
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The Nine Tasks the California Bar Says an Attorney Must Know to be Competent in e-Discovery (May 2017)
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Easter Egg Hunts and the Desire to Make e-Discovery Fun Again (April 2017)
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Protecting the Fourteen Crown Jewels of the Sedona Conference in the Third Revision of its Principles (April 2017)
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Judge Peck Orders All Lawyers in NY to Follow the Rules when Objecting to Requests for Production, or Else … (March 2017)
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Lawyers’ Job Security in a Near Future World of AI, the Law’s “Reasonable Man Myth” and “Bagley Two” – Part Two (January 2017)
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Lawyers’ Job Security in a Near Future World of AI, the Law’s “Reasonable Man Myth” and “Bagley Two” – Part One (January 2017)
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Five Tips To Avoid Mistakes In Electronic Document Review (January 2017)
Publication details and related writing
Related writing and versions:
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The Top Twenty-Two Most Interesting e-Discovery Opinions of 2016 (January 2017)
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Top Twenty-Two e-Discovery Opinions of 2016: Number One (January 2017)
2016
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Top Twenty-Two e-Discovery Opinions of 2016: Number Two (December 2016)
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Top Twenty-Two e-Discovery Opinions of 2016: Number Three (December 2016)
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Top Twenty-Two e-Discovery Opinions of 2016: Number Four (December 2016)
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Top Twenty-Two e-Discovery Opinions of 2016 – 6th and 5th (December 2016)
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Top Twenty-Two e-Discovery Opinions of 2016 – 8th and 7th (December 2016)
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Top Twenty-Two e-Discovery Opinions of 2016 – 10th and 9th (December 2016)
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Top Twenty-Two e-Discovery Opinions of 2016 – 12th and 11th (December 2016)
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Top Twenty-Two e-Discovery Opinions of 2016 – 14th and 13th (December 2016)
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Top Twenty-Two e-Discovery Opinions of 2016 – 16th and 15th (December 2016)
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Top Twenty-Two e-Discovery Opinions of 2016 – 18th and 17th (December 2016)
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Top Twenty-Two e-Discovery Opinions of 2016 – 20th and 19th (December 2016)
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Top Twenty-Two e-Discovery Opinions of 2016 – starting with the 22nd and 21st (December 2016)
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PERSPECTIVES ON PREDICTIVE CODING And Other Advanced Search Methods for the Legal Practitioner (December 2016)
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Announcing Release of My New Book: E-DISCOVERY FOR EVERYONE (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 One (September 2016)
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Scientific Proof of Law’s Overreliance On Reason: The “Reasonable Man” is Dead and the Holistic Lawyer is Born (July 2016)
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The Law’s “Reasonable Man,” Judge Haight, Love, Truth, Justice, “Go Fish” and Why the Legal Profession Is Not Doomed to be Replaced by Robots (June 2016)
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e-Discovery Team’s Best Practices Education Program (May 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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Five Tips to Avoid Costly Mistakes in Electronic Document Review – Part 3 (April 2016)
Publication details and related writing
- e-Discovery Team: Five Tips to Avoid Costly Mistakes in Electronic Document Review – Part 3 (April 2016)
Related writing and versions:
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Five Tips to Avoid Costly Mistakes in Electronic Document Review – Part 2 (March 2016)
Publication details and related writing
- e-Discovery Team: Five Tips to Avoid Costly Mistakes in Electronic Document Review – Part 2 (March 2016)
Related writing and versions:
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Five Tips to Avoid Costly Mistakes in Electronic Document Review – Part 1 (March 2016)
Publication details and related writing
- e-Discovery Team: Five Tips to Avoid Costly Mistakes in Electronic Document Review – Part 1 (March 2016)
Related writing and versions:
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Document Review and Predictive Coding: an introductory course with 7 videos and 2,982 words (March 2016)
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. The approved historical articles are openly readable. Search also checks the full text of publicly accessible e-Discovery Team articles; other publications are searched by their catalog information. 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.