Short Summary of Quantum Law Course

AI, Quantum Computing, and the Future of Legal Judgment

A Self-Paced Online Course by Ralph Losey.
Click here to download PDF version of this Short Summary. Feel free to copy, print and share.

Quantum computing will affect confidentiality, cybersecurity, evidence, AI, expert testimony, contracts, privacy, intellectual property, insurance, causation, probability, and legal judgment. Lawyers do not need to build quantum computers. They need enough working fluency to recognize when the technology matters, advise clients and institutions, question experts and vendors, coordinate technical assistance, and preserve accountable human judgment.

This is not a physics or math course, an investment guide, or a vendor demonstration. It is a practical course in legal judgment, designed to prepare lawyers for the client demands, legal-service opportunities, evidentiary questions, and institutional decisions that quantum technologies may bring.

WHY NOW.
Current quantum computers remain limited, noisy, expensive, fragile, and difficult to scale. But legal and commercial questions begin before a technology is mature. Clients are already considering long-lived confidential information, post-quantum migration, vendor claims, hybrid AI systems, technical contracts, and emerging forms of machine-generated proof. The appropriate posture is preparation, not panic.

WHY IT MATTERS IN PRACTICE
Law firms. The primary opportunity is the ability to advise clients. Early fluency may support premium legal services, first-mover advantage, differentiation, cross-practice work, and stronger client retention. Firms that cannot respond may lose emerging matters, adjacent work, or important relationships to better-prepared competitors.
In-house counsel. Working fluency can help protect enterprise value, reduce risk and outside-counsel spend, identify work that can be handled internally, and improve control of vendors, experts, insurers, and outside counsel.

WHERE LEGAL-SERVICE OPPORTUNITIES ARISE
Confidentiality and cybersecurity. Advising clients about long-lived trade secrets, regulated information, contracts, digital signatures, vendor obligations, post-quantum migration, and crypto agility.
Evidence and disputes. Handling machine-generated proof, expert testimony, validation records, discovery, preservation, authentication, admissibility, and challenges to technical claims.
Transactions and governance. Reviewing vendor representations, procurement terms, warranties, insurance, risk allocation, board oversight, and responsibility for decisions involving emerging systems.
AI-quantum systems. Understanding hybrid workflows, model-centric evidence, system discovery, human override, and who remains accountable when powerful tools influence decisions.

WHAT THE COURSE COVERS
Confidentiality. Q-Day, harvest now/decrypt later, post-quantum cryptography, crypto agility, privilege shelf life, trade secrets, court records, digital signatures, and archived discovery.
Evidence. Quantum-generated and machine-generated proof, Identity versus Fidelity, error limits, validation, Federal Rules of Evidence 901 and 702, and expert testimony.
Systems. AI-quantum workflows, model-centric evidence, system discovery, vendor skepticism, preservation, contracts, governance, and meaningful human override.
Judgment. Probability, causation, burdens of proof, reasons, records, authority, institutional responsibility, and accountability. The machine may calculate. The law must still judge. See the Syllabus of all classes.

THE EIGHT-CLASS JOURNEY

Classes One and Two build the math-free foundation and examine confidentiality. Classes Three and Four move into evidence, hybrid systems, and model-centric discovery. Classes Five and Six explore interpretation, causation, engineering, and validation without presenting contested theories as settled science. Classes Seven and Eight return to judicial legitimacy, institutional responsibility, and human judgment.

WHAT STUDENTS RECEIVE

• Twelve months of access to eight self-paced classes containing over 73,000 words of original instruction.

• Hundreds of images and graphics, selected AI-assisted videos, hyperlinks, a detailed glossary, and built-in study guides.

• Legal examples, hypotheticals, metaphors, and practical frameworks designed for working fluency without advanced mathematics.

WHO SHOULD TAKE IT

Lawyers in private practice, in-house counsel, judges, clerks, e-discovery and legal-technology professionals, privacy and cybersecurity professionals, compliance and records professionals, educators, students, legal vendors, and serious readers interested in the legal implications of AI and quantum computing.

ENROLLMENT OPTIONS

Individual. $295 for twelve months of access to the complete course.

Practice Group, 10-20 participants. $236 per named participant, a 20% discount. Suitable for law-firm practice groups, litigation teams, legal departments, cybersecurity groups, and legal-technology teams.

Groups of 21 or more. Separately structured arrangements for law firms, corporate legal departments, courts, law schools, judicial education groups, and professional organizations.

Why group enrollment? One informed lawyer may recognize an issue. A prepared organization needs enough shared vocabulary across relevant practices and functions to retain work, serve clients, supervise experts, control external providers, and respond coherently.

OPTIONAL POST-GRADUATE FIRESIDE CHAT

Available only to graduates who complete all eight classes. The $500 fee provides a private 45-minute educational conversation with Ralph Losey, subject to limited availability and separate terms. The conversation is informal and student-directed, private but not privileged, and provides no legal advice.

ABOUT RALPH LOSEY

Ralph spent 45 years at the intersection of law and technology, from personal computers and the early Internet through e-discovery, online legal education, predictive coding, generative AI, and now Quantum Law. He designed and taught the University of Florida College of Law’s first accredited online course, served as lead technology counsel in Da Silva Moore, the first federal decision approving predictive coding in discovery, and has written more than 150 articles on AI and law. Retired from legal practice, he created Quantum Law as an educational legacy project to help the profession prepare for the next major technology shift.

LEARN MORE

Course Home  |  Individual Enrollment  |  Group Enrollment  |  Syllabus Roadmap  |  Fireside Chat

QuantumLawCourse.com  |  Ralph.Losey@gmail.com

The overview gives the reason. The Syllabus Roadmap shows the route. The course provides the journey.

Educational Use Only. No legal Advice Provided.