RALPH LOSEY
Legal Educator, AI Trainer, Developer of Quantum Law
Ralph Losey retired from active legal practice in 2026 after more than forty-five years as a lawyer at the forefront of legal technology. He now devotes his time to research, writing, software development, teaching, and the advancement of Quantum Law—a new field exploring how artificial intelligence, quantum computing, probability, and evidence may reshape legal practice.
Ralph has participated in every major technology transition affecting lawyers since the introduction of personal computers in the late 1970s. His work includes pioneering efforts in personal computers, the Internet, e-discovery, online education, predictive coding, generative AI, and now Quantum Law.
Quantum Law is Ralph Losey’s proposed framework for understanding how emerging technologies—especially artificial intelligence, quantum computing, probabilistic reasoning, and advanced evidence systems—may require new approaches to legal analysis. It examines the growing shift from deterministic models of proof and causation toward systems where probability, uncertainty, and machine-generated reasoning play an increasingly important role. It is a change from proximate cause to probability that models the paradigm shift in science.
Lead of Seven Technology Revolutions in One Career
1980: The introduction of the Personal Computer to lawyers’ desks
1990: First use of BBS and then Internet, including creation of one of the first lawyer websites
2005: The rise of e-Discovery and near complete transition from paper to digital documents
2010: Online legal education: designed, programmed, and taught the University of Florida College of Law’s first accredited online course
2012: First judicial approval of AI in law (predictive coding) as lead tech counsel in Da Silva Moore
2023: The generative AI revolution and its deployment in legal workflows
2026: The transition to Quantum Law
Today Ralph’s primary mission is education, not legal practice, with a special focus on artificial intelligence and Quantum Law. New technology at the edge of law is where he has always felt most at home: curious, energized, and ready to learn and teach what comes next.
Personal Life After Retirement
Now that Ralph has retired, he has more time than ever for personal activities. He hangs out with his family and dogs, exercises, creates new AI software on all types of topics, ponders, writes and talks to the general public about AI and Ethics, composes and performs his PrimaSounds meditation music, writes on world wisdom traditions, hacker culture, longevity, and fitness. Lately he also lectures and performs as one of his heroes, Abraham Lincoln. It is an unusual mix, but then again, Ralph has never been interested in thinking inside the box. He enjoys a diverse, changing life, but, unlike many seniors, does not play golf or travel much.
Ralph’s Legal History
When still practicing law, Ralph was lucky to author five best-selling books on law and technology published by the American Bar Association and West-Thomson. Since 2006, he has been a nationally recognized as an educator and speaker on law and technology, including four years as an adjunct professor at the University of Florida College of Law, where he designed and launched the law school’s first accredited online course.
He is also a white-hat hacker and coder, with programming experience dating back to 1983, and has worked hands-on with artificial intelligence since 2012. In 2023, Ralph competed at DefCon31 in Las Vegas in the AI hacking competition.
Since 2023, Ralph spent way too much time (especically according to his dear wife) writing more than 150 articles on generative AI and related subjects, including quantum computing and law. Many of them are read and discussed by leading experts in law, artificial intelligence, and related technology fields. His articles typically run 3,000 to 5,000 words and are published through the e-Discovery Team blog, EDRM, and JD Supra, where they now receive more than 100,000 reads per year. Ralph still researches and writes but has slowed down his writing pace to focus on his Quantum Law course and recreation.
Ralph’s detailed resume (6/19/26)
Primary legal related websites of Ralph Losey:
e-DiscoveryTeam.com
Losey.AI
QuantumLawCourse.com
Legal History Summary
Before retiring in 2026, Ralph had extensive litigation and transactional experience involving information technology, artificial intelligence, intellectual property, and related business issues. Although best known for his work in technology law and AI, his civil litigation experience was broad. It included commercial litigation, fraud, employment disputes, life insurance and ERISA litigation, and the successful prosecution of the largest qui tam case in history under the False Claims Act, also known as Qui Tam or Lincoln’s Law.
From 2006 to 2021, Ralph focused primarily on electronic discovery and information technology law, including the use of artificial intelligence, then commonly called predictive coding, in litigation discovery. After joining Losey PLLC in January 2022, he returned to a broader legal technology advice and litigation practice and also served as an AAA arbitrator.
By late 2022, Ralph added a new sub-specialty in generative AI. In 2025, he began winding down his law practice to devote himself full-time to research, writing, and teaching in artificial intelligence and Quantum Law. That shift had already begun in 2023, when he started publishing extensively on generative AI. many of which are read and discussed by leading experts in law, artificial intelligence, and related technology fields.
More About Ralph Losey’s Legal Work
Ralph first began using computers in law school in 1978, long before most lawyers thought computers had much to do with law. From the beginning, his practice combined legal judgment with emerging technology, especially in civil litigation, fraud investigations, electronic evidence, and later artificial intelligence.
Over the course of his career, Ralph legally examined computers, accounts, and electronic communications belonging to tens of thousands of people. This was not “hacking” in the Hollywood sense, although the word is too useful to abandon entirely. It was lawful investigative work performed as an attorney in litigation, e-discovery, and other authorized civil and criminal investigations. Ralph brought to that work the habits of a white-hat hacker: curiosity, persistence, skepticism, and a preference for looking under the hood rather than admiring the paint job.
In 2010, Ralph became a partner in a large national law firm, where his practice focused on e-discovery and information retrieval. There he refined his use of active machine learning and predictive coding in thousands of litigation matters. Those tools, once exotic, are now part of the foundation for modern technology-assisted review.
Ralph retired from Big Law in 2021, but the arrival of generative AI in late 2022 pulled him back into active legal technology work at Losey PLLC. For several years, he also served as an AAA arbitrator in dozens of cases before his retirement from legal practice in 2026. He greatly enjoyed serving as an adjudicator and often says he learned a great deal by seeing litigation from the other side of the bench.
The e-Discovery Team Blog
Ralph created his first law-related blog, e-DiscoveryTeam.com, in 2006. The original purpose was to advocate for a team approach to electronic discovery. Lawyers, technologists, scientists, educators, vendors, and other specialists all had pieces of the puzzle. Ralph’s point was simple: e-discovery was too important, and too technically demanding, to leave to any one profession working alone.
By 2010 and 2011 Ralph’s e-discovery work had narrowed toward artificial intelligence, especially active machine learning used to search large volumes of data for evidence. At the same time, he began creating free online training materials, including his TAR Course, to help lawyers and litigation support professionals understand technology-assisted review.
During this period, Ralph was also the partner in charge of litigation support at his firm and was personally involved in major cases, including the landmark Da Silva Moore opinion, the first judicial decision approving the use of predictive coding in e-discovery in lieu of traditional linear human review.
Ralph left Big Law in 2021 to practice with his son, Adam Losey, his daughter-in-law, Catherine Losey, and the team at Losey PLLC.
Since then, the e-Discovery Team blog has evolved. Artificial intelligence is now part of the team too. Ralph uses AI to connect the dots between e-discovery, law, technology, ethics, creativity, and life itself. The blog still focuses on law and technology, Ralph’s primary field of expertise, but it now reaches beyond discovery into generative AI, legal ethics, prompt engineering, cybersecurity, quantum computing, and Quantum Law.
One of Ralph’s sayings as a lawyer is: take your work seriously, but not yourself. The e-Discovery Team blog was built in that spirit. So were the videos, cartoons, animations, music experiments, AI images, books, articles, and online courses that surround it. Serious work does not require a solemn face. Sometimes a robot joke teaches more than a footnote.
For more, see the blog’s Writings Page, which includes Ralph’s books, articles, videos, and online courses.
Notable Public Speaking Engagements
Ralph has been speaking about law and technology since the 1990s.
One of his most memorable presentations was in Washington, D.C., in 1996, before the International Alliance of Holistic Lawyers, of which he was a member. The presentation included a short performance of Ralph’s computer relaxation music, PrimaSounds. It was followed by a private reception at the United States Supreme Court, attended by several Justices familiar with the work of IAHL, including Justice Ruth Bader Ginsburg and Justice Sandra Day O’Connor.
Another favorite was Ralph’s 1997 presentation to the Board of Governors of The Florida Bar and several members of the Florida Supreme Court. The topic was the Internet and high technology in the practice of law, back when many lawyers still thought the Internet was a passing distraction.
Ralph also looks back fondly on his many opportunities to speak and lead panels at The Sedona Conference and LegalTech, including debates with Craig Ball, Jason R. Baron, and other leaders in e-discovery and legal technology.
Selected Legal and Professional Achievements
Ralph’s legal and technology work has received recognition in many forms. Selected examples include:
- OpenAI GPT-3.5 training data. More than 740,000 LLM tokens of Ralph’s e-Discovery Team writings were included in the OpenAI GPT-3.5 training data, according to 2023 disclosures. If confirmed, this appears to make Ralph the most heavily represented individual legal writer in that initial training dataset. That was a strong motivator for Ralph to keep going full speed.
- Martindale-Hubbell AV rating. Ralph has held a Martindale-Hubbell AV rating since the 1990s.
- Best Lawyers in America. Ralph has been recognized by Best Lawyers in America since 2013 in Information Technology Law, Electronic Discovery and Information Management Law, Commercial Litigation, and Employment Litigation – Management.
- Super Lawyers. Ralph has been recognized by Super Lawyers since 2017.
- University of Florida College of Law. From 2008 to 2012, Ralph served as an adjunct professor of law at the University of Florida College of Law. He taught Introduction to Electronic Discovery, Advanced eDiscovery Seminar, and Online eDiscovery. In 2010, he designed and launched the law school’s first accredited online course.
- Did You Know: e-Discovery. Ralph co-created the well-known e-discovery video Did You Know: e-Discovery with Jason R. Baron.
- NIST TREC Total Recall Track. Ralph participated in and led a team in the National Institute of Standards and Technology’s TREC Total Recall Track in 2015 and 2016, where search methods using artificial intelligence and other information retrieval techniques were tested and measured.
- Predictive coding competition. In 2013, Ralph won first place in the independently judged predictive coding document review competition sponsored by EDI and Oracle. He was the only one-person team in the national competition and prevailed against e-discovery vendors and large review teams. See EDI-Oracle Study: Humans Are Still Essential in E-Discovery.
- Who’s Who in American Law. Ralph has been listed in Who’s Who in American Law since 1985.
Generative AI, Prompt Engineering, and Quantum Law
The release of ChatGPT in November 2022, coupled with the discovery that his articles were a leading training resource, renewed Ralph’s interest in artificial intelligence. These were the “smart computers” he had been waiting for since he first started using computers in 1978.
Since then, Ralph has devoted a substantial portion of his professional time to study, research, experimentation, writing, and teaching on large language models and generative AI. His work includes prompt engineering, AI-assisted coding, legal technology workflows, AI-generated illustrations, animations, videos, and educational tools.
In late 2023, Ralph also began creating custom OpenAI ChatGPT applications, which are available in the OpenAI Store without charge or add-on gimmicks.
Although retired from legal practice, Ralph remains one of the country’s most active legal researchers, writers, and educators on generative AI, prompt engineering, and Quantum Law. He is a hands-on user, an ethical hacker type, and a creative maker. In other words, not just a retired lawyer with opinions. He still builds things.
Readers who want to dig deeper can explore the right column of this blog, including the short bio, recent interviews, and AI podcast materials. But Ralph says the best way to understand his work is simpler: read the blog. Better yet, enroll in his online course on Quantum Law.
Important Notice
Legal ethics require Ralph Losey to insist that you read the important disclaimer and notice about this blog. The blog contains Ralph Losey’s personal views only. They are not necessarily the views of his former law firms, former clients, colleagues, or anyone else.
The e-Discovery Team blog provides education, information, and editorial commentary only. No legal advice is provided here.
Ralph Losey Copyright 2026. All Rights Reserved.
YOU ROCK.
very resourceful!
just found this resource. a really good job. thanks sam
are you going to sedona end of april? if you are we can meet then. sam
Thank You
Excellent insight and instruction – thank for the time invested in this useful resource.
This is a very informative and insightful blog. Definately one to put on your favorites and check everyday. Thanks for shedding light on complex issues.
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Enjoy your blog. I am very experienced in complex litigation/e-discovery work and I must note that I have not yet seen a discussion of the best ways to properly prepare a client for all the tech supprt necessary to actually conduct the large scale doc review (# 6) above. This process requires hiring from 30 – 100 + attorneys to work 60+ hours a week for months on end on large scale projects. This is a very labor intensive and expensive phase of e-discovery. It has been my experience that the software programs/vendors/consultants/servers/internet pipelines etc. etc. are poorly chosen (cost) causing serious delays and cost over runs on many projects. I also note that so called service providers in this area often employ very junior and inexperienced people to serve as “techs” and ‘on-site trainers’ who are not really up to the task of servicing the daily needs of complex project workflow. I understand that clients make cost driven choices in these matters but they wind up paying far more in the end in excessive attorney hours and overtime because they don’t properly prepare for the review phase.
You raise a good issue. Any thoughts on how to do that would be appreciated. Many people, and cos, seem to be penny wise and pound foolish. Most of the expense in large projects is review, and I have tried to make that point several times.
Are tool vendors aligned more towards a particular type of litigation (e.g., patent vs. civil rights vs. contract)? If so, that would be one means to categorize. The next method I suggest is to qualify each tool by the type of algorithm used. For example, a simple text search would be given a low score while an AI based tool capable of conducting semantic searches would be given a high value.
Then again, we still have to deal with stegongraphy, OCR conversions and the odd extremelylongrunonsentencethatdescribestheinnerworkingsofapatent.
Each process is explained thoroughly. Clears all doubts about e-discovery. Good job done
Wow. Fantastic flow charts. Your use of visuals here was better than most of the text books I read, let alone blogs. Thanks a million for putting in the time here.
Very informative website and appropriate. As a representative on the IT side of the house, I can confirm that cost is a big push-back on bringing attorney review technology platforms in house and for companies that are involved in a relatively small number of litigations (say once per year), the cost of maintaining expertise in operating those platforms is also of concern.
IT departments quite easily fall into the trap you describe of over collection not really understanding what happens once turned over for review. Even the in-house managing attorney is not cognizant of the cost of over collection. Outsourcers (both technology and outside counsel) are usually all too happy to get terrabytes of ESI to justify exorbitant review costs.
I have done some research into attorney review platforms that can be used in-house and I’m curious if you have any experience with any of those. As it’s an emerging product space, there are wide gaps in offerings and costs and I’m looking to narrow the field down by leveraging others’ experiences.
Thanks for your posts!
How does one subscribe to your blog? You are dead on. With being in the industry, I enjoy hearing others views to validate what I have learned thus far. Keep these coming. Have a great and most successful day.
Ralph, thank you for the insight and resource of your blog. I wonder if you would consider setting up and RSS feed (strictly for the ease of your readers)?
Be well,
Amy
Ralph,
Your blog represents the depth of your understanding of e-discovery on the whole.
What is more important is to make sense to the reader. I am new to e discovery and did derive immense knowledge and pleasure by reading your article.
Great job!
regards
balaji
Nice job on the blog!
I am a records management expert credentialed in medical records (HIM or Health Information Management) and specialize in Legal Health Records and eDiscovery in healthcare. I live near Orlando (Titusville) and thought I should reach out and make a connection. A friend of mine Kim Baldwin-Stried Reich speaks highly of you. When you have a chance please e-mail me at the e-mail address I posted with this message. Thank you.
Do you have a web feed I can save? I searched around but couldn’t
Enjoy your blog. I am very experienced in complex litigation/e-discovery work and I must note that I have not yet seen a discussion of the best ways to properly prepare a client for all the tech supprt necessary to actually conduct the large scale doc review (# 6) above. This process requires hiring from 30 – 100 + attorneys to work 60+ hours a week for months on end on large scale projects. This is a very labor intensive and expensive phase of e-discovery. It has been my experience that the software programs/vendors/consultants/servers/internet pipelines etc. etc. are poorly chosen (cost) causing serious delays and cost over runs on many projects. I also note that so called service providers in this area often employ very junior and inexperienced people to serve as “techs” and ‘on-site trainers’ who are not really up to the task of servicing the daily needs of complex project workflow. I understand that clients make cost driven choices in these matters but they wind up paying far more in the end in excessive attorney hours and overtime because they don’t properly prepare for the review phase.
+1
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Where I can get technical insight about e-discovery?
1) How generally people do the extraction of attachments of a document? msgs of a PST… and have them ready for viewing?
2) How to have high fidelity rendering of the documents? (Are there any on the fly trasnformation of the files for viewing them or this is done at processing time.
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[…] About […]
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[…] About […]
Great blog and informative to the nth degree.
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Hello, I’m a fan of your work. I really enjoyed the fictionalized AI version of the case story about the chimney sweep boy in the case of Armory vs. Delamirie (1722). I used to read it to my students. It now appears to be protected by password. Is there a way to continue to access this content? How can I obtain the password?
WILL DO. One of my personal favorites.
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