  In the rapidly evolving field of crypto assets, white papers are essential
documents for investor guidance, and are now subject to unprecedented content
requirements under the European Union's Markets in Crypto-Assets Regulation
(MiCAR). Natural Language Processing (NLP) can serve as a powerful tool for
both analyzing these documents and assisting in regulatory compliance. This
paper delivers two contributions to the topic. First, we survey existing
applications of textual analysis to unregulated crypto asset white papers,
uncovering a research gap that could be bridged with interdisciplinary
collaboration. We then conduct an analysis of the changes introduced by MiCAR,
highlighting the opportunities and challenges of integrating NLP within the new
regulatory framework. The findings set the stage for further research, with the
potential to benefit regulators, crypto asset issuers, and investors.
