The second half of the 20th century witnessed a pivotal moment with the integration of machines into daily life, catalyzing the emergence of a data-driven ecosystem. This symbiotic relationship between big data and AI sparked significant advancements, notably in generative AI, elevating the intrinsic value of data. However, this exponential surge in data collection, processing, and storing to train text producers precipitated apprehensions concerning data protection, particularly the right to be forgotten, which aims at purging data from databases. The legal uncertainty surrounding the execution of this right exacerbated concerns regarding the extent to which text producers must erase data. Although certain technical solutions show promise in facilitating erasure, their efficacy alone falls short of meeting GDPR compliance standards. Crucially, comprehensive legal adaptions are imperative, ensuring that data subjects grasp the intricate interplay between legal and technical aspects of this right.