I am excited that Who Controls the Block? How States Can Regulate Tokenized Residential Real Estate (co-authored with Bizub & Peralta) is forthcoming in the Texas A&M Law Review. The abstract reads,
In July 2025, the City of Detroit filed a major nuisance abatement action against RealT, a fintech that had sold blockchain-based fractional interests in more than four hundred Detroit rental properties to some 22,000 investors around the world. Within a year, a court had ordered the company’s rents into escrow, the company had conceded to its investors that its “model no longer works,” and it had announced the liquidation of its portfolio — leaving tenants without basic services and token holders facing steep losses.
This article uses the rise and collapse of RealT, together with case studies of the other leading real estate tokenization business models, to evaluate the claims made for tokenized real estate as a new asset class for individual investors. Measured against the publicly-traded REIT, tokenization offers only one advantage to investors — a bespoke level of diversification — and it does so while shedding the investor protections that registration and exchange listing provide. More fundamentally, the leading business models rest on skirting the state and local legal infrastructure of real property: recording regimes, transfer and property taxation, and homeowner and tenant protections. Like the mortgage industry’s Mortgage Electronic Registration Systems, Inc. (“MERS”) a generation ago, tokenization externalizes the costs of that end-run onto the parties least able to bear them.
Real estate tokenization is still in its infancy, and state and local governments have a window of opportunity to shape how these fintechs operate within their borders. Some have begun to use it: Maine’s first-in-the-nation statute regulating shared appreciation agreements supplies one template, and Detroit’s enforcement campaign another. This article maps the gaps that remain — most notably in transfer taxation and tenant protection — and offers an agenda for closing them before tokenization scales.
