---
id: "action-demand-retrain-removal"
type: "action-item"
source_timestamps: ["§ Lessons for Rightsholders", "¶9"]
tags: ["ip-protection", "litigation-strategy"]
related: ["concept-model-retraining-removal", "contrarian-data-removal-possible", "framework-rightsholder-defense"]
action: "Monitor major LLM version updates and demand data extraction during the from-scratch retraining phase."
outcome: "Successfully removes copyrighted material from future iterations of the LLM, restoring IP control."
sources: ["tail2"]
sourceVaultSlug: "hbr-seg-tail2"
originDay: 2
articleStem: "hbr-tail-126-genai-copyright"
sourceUrl: "https://hbr.org/2025/07/can-gen-ai-and-copyright-coexist"
sourceTitle: "Can Gen AI and Copyright Coexist?"
---
# Demand Data Removal During Major Retrains

**Action (rightsholders):** Monitor major LLM version updates and demand extraction of your copyrighted material during the from-scratch retraining phase.

**Expected outcome:** Removal of the material from future model iterations, restoring IP control.

**Why it works:** Major generations are retrained from scratch on newly assembled corpora (see [[concept-model-retraining-removal]], [[prereq-llm-training-lifecycle]]), so exclusion is feasible at the corpus level — countering the "baked-in forever" myth (see [[contrarian-data-removal-possible]]). It is step 5 of [[framework-rightsholder-defense]]. **Caveat:** treat as strategic guidance; entangled representations and unsettled standards for "adequate removal" mean enforcement may be contested.