What is an Army of One?
What does Multimodal Single-SME mean?
What is an “approach” to Machine Learning?
What other approaches are there?
What is Machine Learning anyway?
e-Discovery Team
LAW and TECHNOLOGY – Ralph Losey © 2006-2024
About the Blogger
Ralph Losey is a Friend of AI with over 740,000 LLM Tokens, Writer, Commentator, Journalist, Lawyer, Arbitrator, Special Master, and Practicing Attorney as a partner in LOSEY PLLC. Losey is a high tech oriented law firm started by Ralph's son, Adam Losey. We handle major "bet the company" type litigation, special tech projects, deals, IP of all kinds all over the world, plus other tricky litigation problems all over the U.S. For more details of Ralph's background, Click Here
All opinions expressed here are his own, and not those of his firm or clients. No legal advice is provided on this web and should not be construed as such.
Ralph has long been a leader of the world's tech lawyers. He has presented at hundreds of legal conferences and CLEs around the world. Ralph has written over two million words on e-discovery and tech-law subjects, including seven books.
Ralph has been involved with computers, software, legal hacking and the law since 1980. Ralph has the highest peer AV rating as a lawyer and was selected as a Best Lawyer in America in four categories: Commercial Litigation; E-Discovery and Information Management Law; Information Technology Law; and, Employment Law - Management.
Ralph is the proud father of two children, Eva Losey Grossman, and Adam Losey, a lawyer with incredible litigation and cyber expertise (married to another cyber expert lawyer, Catherine Losey), and best of all, husband since 1973 to Molly Friedman Losey, a mental health counselor in Winter Park.
[…] as a predicate for a discussion of the next stage of the predictive coding debate. As I said in New Developments in Advanced Legal Search: the emergence of the “Multimodal Single-SME” approach, the next stage of the debate is not whether to use a CAR, or how much disclosure you should make, […]
[…] as a predicate for a discussion of the next stage of the predictive coding debate. As I said in New Developments in Advanced Legal Search: the emergence of the “Multimodal Single-SME” approach, the next stage of the debate is not whether to use a CAR, or how much disclosure you should make, […]
[…] None of the studies to date on relevance coding inconsistencies were made to evaluate the impact of such inconsistencies on active machine learning. Recent data obtained by the Electronic Discovery Institute in their Oracle project, may, however, make it possible for scientists to make such evaluations in the future. Bay, M., EDI-Oracle Study: Humans Are Still Essential in E-Discovery (LTN Nov., 2013). As reported in the Monica Bay article the data on inconsistencies and number of reviewers used by each participating team may make it possible for scientists to now prove, or disprove, my theory that less is more, that consistent input by bona fide experts, SMEs, is critical to attaining comparatively high performance in real-world legal search projects. That is what I have been referring to for some time as the Army of One approach. See eg. LegalSearchScience.com; The Solution to Empty-Suits in the Board Room: The “Hacker Way” of Management – Part Two; New Developments in Advanced Legal Search: the emergence of the “Multimodal Single-SME” approach. […]