February 19, 2026
Mamdani’s Property Tax Hike Proposal
ABC News interviewed me in New York Mayor Mamdani’s Property Tax Hike Proposal Puts Pressure on Taxing Millionaires. It reads, in part,
David Reiss, a clinical professor of law at Cornell Law School, told ABC News that it was inevitable that Mamdani’s progressive policies would be met with initial resistance by moderates in a highly contested election year, but the debate over taxation will be one that resonates across the country as affordability takes center stage at the ballot box.
“I have no doubt this will be a flashpoint for national elections and state and local elections as well,” Reiss said.
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A Political Game of Chicken Not Limited to NYC
Reiss, who used to chair New York City’s Rent Guidelines Board, told ABC News that taxation has always been the big factor in elections, with Republicans previously running on a stance of no new taxes on Americans.
This year’s election season will be different, he noted, given Mamdani’s rise to national prominence, as well as that of progressive candidates who have been championing policies to help Americans make ends meet, such as improved child care and rent relief.
“You will see people say, ‘We want to increase revenues to support progressive issues,'” Reiss said.
Reiss said that Mamdani is “planting the flag” in a manner that is important to him and his supporters by making a property tax hike warning a part of his negotiations with the City Council and Albany.
Reiss further said that dangling a worst-case scenario this early puts the conversation on affordability and government fiscal priorities front and center, instead of it being buried under other issues that will surface as election season kicks off.
“You’re seeing a very popular mayor to use the bully pulpit for some change with a politically middle-of-the-road state government,” he said. “It really is a political game of chicken.”
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Reiss noted that the public push for more cost relief has seen leaders become more open to considering progressive policies.
Since Mamdani won the mayoral election, Hochul has been more open to some of his proposals to help New Yorkers, including expanding state funding for child care options for children aged two and older.
On Monday, the governor, whom Mamdani has endorsed, announced that the state would invest $1.5 billion in the city over the next two years for various services and programs, such as public health and youth services.
“It seems from a political perspective a logical strategy for a popular mayor to take, but it’s not without its risks,” Reiss said.
Lawmakers across the country are facing growing calls from their constituents to address income inequality and the wealth gap, Reiss said, noting a proposed wealth tax in California on billionaires that has prompted some corporations threaten to leave the state.
“It’s the lightning rod, and it sets the terms of the debate,” Reiss said of Mamdani’s budget negotiation proposal. “But we’ll see if it compels other partners in government to go along or to resist it.”
February 19, 2026 | Permalink | No Comments
February 9, 2026
Why Was Housing So Much Cheaper in the 1950s?
inequaltiMarketplace quoted me in Why Do Cars, Housing and Clothing Cost Much More Than They Did in the 1950s? It reads, in part,
Question: Why did a pair of jeans, a box of rice, cars, houses and other items that still exist today cost one price in the 1950s but now are so much more? They’re still the same products with very little change. In fact, due to automation, many of these things are actually cheaper to produce.
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Aren’t products today higher quality?
There has been an increase in the quality of some products over time, which means looking at costs from the 1950s vs. today can seem like an apples-to-oranges comparison.
One can make the argument that cars are equipped with better features than ones from the ‘50s. “We have all kinds of things like seat belts and anti-lock brakes and computerized systems in your dashboard,” Stapleford said.
But if you’re trying to determine affordability, you have to look at the options that are available to you at the time.
“If someone wanted a 1950 car, they couldn’t get it. You couldn’t go out and buy a car that’s exactly the same as it was in the 1950s. You don’t have that kind of discretion as a consumer. You’re sort of stuck with what’s available on the market. So you’re then forced, in a way, to buy this higher-quality thing, which you may or may not want,” Stapleford said.
If you’re comparing housing prices, you also have to look at changes in the types of homes people are buying.
A typical home in the 1950s could cost around $7,000 a year vs. about $400,000 now, said David Reiss, a law professor at Cornell University who studies housing policy.
But while today’s price is 57 times more the cost of a house in the 1950s, you have to adjust for inflation and look at the size of these homes. The average house is now much bigger, Reiss pointed out. So based on square footage, a home today is actually probably four or five times more expensive than one in the 1950s, Reiss said. They also have more amenities, he pointed out.
“The quality of the housing has gone up dramatically, and that’s probably reflected in the price to some extent,” Reiss said.
But there are still other factors explaining the increase in price, which include construction productivity and supply and demand. There are people who will pay $1 million for an apartment with a leaky roof because of the area it’s in, Reiss said.
In a lot of areas with job opportunities, the regulations that govern new construction are very strict, which contributes to these high prices, Reiss said.
Many Americans feel like homeownership has become increasingly out of reach.
There was less income inequality in the mid-20th century compared to now, Reiss said. In 1950, the household median income was $2,990, with the median home value about 2.5 times that. In 2024, the median sales price was almost five times the median household income.
There is one big caveat: Reiss noted that the housing market was “incredibly discriminatory” against different groups like Black Americans. But for those who didn’t face unjust policies, homeownership was more affordable.
“Now you have extreme wealth at the one end, and some very low incomes at the bottom end,” Reiss said.
February 9, 2026 | Permalink | No Comments
January 16, 2026
Integrating AI Tools Into Law School Teaching
Robert MacKenzie and I have an article in Bloomberg Law, Law Schools Should Teach How to Integrate AI Tools Into Practice. It reads,
Now that artificial intelligence tools for lawyers are widely available, we decided to integrate them for a semester in our Entrepreneurship Clinic. We have some important takeaways for legal education in general and the transactional practice of law in particular.
First, employers and educators need to account for law students who already are using AI tools in their legal work and guide new lawyers about how to use such tools appropriately.
Second, different AI products lead to wildly different results. Just demonstrating this to law students is very valuable, as it dispels the notion that AI responses can replace their independent judgment.
Third, AI’s greatest value may be in refining legal judgment for lawyers in ways that can help new and experienced lawyers alike.
Legal AI Prep
As we were planning our syllabus over the summer, we provided formal training in AI tools designed for lawyers. A librarian provided us an overview of products from Bloomberg Law, Lexis, and Westlaw early in the semester.
Before the training, we asked students how they were using AI in the legal work. Their responses ranged from “not at all” to “I start all of my case law research on ChatGPT.”
We were confident that our students would be better off operating somewhere between those extremes. Over the semester, we demonstrated how AI could enhance the speed and quality of legal work, as well as the dangers of outsourcing research and judgment to an AI tool.
AI Tool Differences
Perhaps the training’s most valuable takeaway was that each tool had access to different databases of materials and had different constraints. We designed simulations that required groups of students to complete the same transactional tasks (drafting, researching, benchmarking market terms, and crafting effective client emails) using various AI tools.
In one exercise, students acted as counsel to a small business owner. The “client” emailed them asking about standard-form contracts relevant to their industry and what pricing mechanics such contracts use.
For the research stage of the task, all teams located a standard-form construction contract, but only half of them found the industry-accepted standard form that we contemplated. The others located this form later by modifying their search approach. This helped to demonstrate some limitations of AI tools.
For the client communication stage, some teams failed to answer the “client’s” questions. This isn’t something the AI tool could address on its own, and it reminded students to constantly refocus on the big picture in addition to individual tasks.
We found that AI tools built on widely available AI platforms such as ChatGPT produced the most responsive outputs and were most forgiving of haphazard prompting. But certain specialized legal AI tools often failed to answer the prompt.
This is a double-edged sword. Although the generally available tools were more likely to generate an answer, they also were more prone to providing unreliable outputs. By contrast, the specialized tools hallucinated much less frequently but regularly stopped short of fulfilling a request if it required work beyond their guardrails.
Delegating Work
Our final takeaway was that AI was surprisingly good at issue-spotting and double-checking a lawyer’s work product. These uses can help both new and experienced lawyers.
We used the idea of delegation to make this point to our students. AI is fast, adaptable, and always available, so it’s a great resource. But you should only delegate work to it when you can verify its output.
In one exercise, students had to issue-spot risks and approaches after a “client” described a business opportunity. Students brainstormed in small groups. There was a lot of overlap, but some groups thought of items that others had not. We added the items to a collective list, relying on our years of practice to guide the students through gaps that remained.
Once we had a strong collective list of items, a team asked an AI product to issue-spot the same scenario. It generated most of the items in our list, some that weren’t relevant, and—most importantly—a couple that no one had raised.
This was a valuable lesson: AI had something to add to our analysis, but we had to exercise independent judgment to determine whether its contributions merited further thought.
Important Takeaways
We asked students for feedback on our use of AI throughout the semester. The most valuable feedback was that they wanted to develop their own legal judgment and learn how and why certain tasks are completed before relying on AI.
This echoes the transition from book-based legal research to electronic legal research. There was some value in searching the law reports in the library, but electronic legal research won out because it was so much more efficient. Yet even with this enhanced efficiency, a responsible lawyer must understand how to build a strong research plan and actually read the cases they cite.
In the clinic, our goal is student learning. It was for this reason that we liked to deploy the AI tools at the end of our exercises: You do the work and then interrogate it with the AI tools of your choice.
Such an approach ensures law students get the benefit of struggling through first repetitions of new tasks while allowing them to generate superior work product with fewer drafts. This process requires discipline. Legal education and legal employers need to clarify the line between AI as a tool versus AI as a crutch.
We learned a lot about how AI tools can help law students develop into good lawyers. As those tools are integrated into legal practice, lawyers of all experience levels should take a self-conscious approach to using them.
January 16, 2026 | Permalink | No Comments






