A Survey of Quantum Computing for the Working Attorney at the Dawn of the Fault-Tolerant Era

Abstract

PRELIMINARY DRAFT — Version 1 (v1), posted 30 August 2026. This version is circulated as a working resource, not as a finished manuscript, and is not offered as being of publication quality. Please cite this Article by section rather than by page since the pagination may change between versions. Fault-tolerant quantum computers---machines whose processors access thousands of error-corrected logical qubits built from roughly a million physical qubits, projected by vendor roadmaps within five to ten years---will disrupt not only cybersecurity, medicine, communications, manufacturing, and logistics, but also the law that governs them. This Article surveys that emerging legal landscape for the working attorney, organized by a single lens drawn from computational complexity theory: legal impact tracks the shape of quantum advantage. Where quantum machines merely accelerate classical computation, existing doctrine adapts parametrically. Where they solve problems classically believed intractable (the regime of problems inside BQP but outside P, exemplified by cryptanalysis and quantum simulation), doctrine that silently premises classical intractability may fail categorically. The Article maps this two-tier taxonomy across six legal domains: electronic discovery, the quintessential Tier I case, where the cost terms of Rule 26 are revalued without a word of the Rule changing; data protection and the "harvest now, decrypt later" threat; intellectual property, including the risk that commercially available quantum simulation will cause trade-secret rights in some simulable formulations to lapse; government policy and administrative law, where federal policy remains promotional rather than regulatory; international trade, where the 2026 precedent of export controls on deployed frontier AI models supplies a template for controls on quantum capability; and civil litigation, from Article III standing for harvested-data plaintiffs to Daubert reliability for computations no classical machine can check. Drawing on the regulatory arc of artificial intelligence as a predictive model---and identifying the crucial difference that quantum's flagship harm is discrete, foreseeable, and approximately datable---the Article closes by outlining five narrow, capability-triggered reforms: statutory migration deadlines with safe harbors; a decryption-capability trigger for notification, accrual, and limitations; verification standards for quantum-derived evidence; trade-secret clarification for simulation-discoverable information; and an ex ante plurilateral framework for capability-level export controls.