A few more alternative rankings:
Leiter Rankings: http://www.leiterrankings.com/new/index.shtml
TaxProfBlog used the Princeton Review raw data across multiple categories to rank the top 50: http://taxprof.typepad.com/taxprof_blog ... iew-1.html
The Seto article, in my opinion, provides the best overall analysis of the U.S. News rankings. But Professors William Henderson and Andrew Morriss have also published a few articles analyzing particular aspects of the U.S. News rankings:
1. Student Quality as Measured by LSAT Scores: Migration Patterns in the U.S. News Rankings Era. http://papers.ssrn.com/sol3/papers.cfm? ... _id=720122
2. Measuring Outcomes: Post-Graduation Measures of Success in the U.S. News & World Report Law School Rankings. http://papers.ssrn.com/sol3/papers.cfm? ... _id=954604
The second article is pretty interesting. The conclusion is something that has been requested by current and prospective students for quite some time: "We conclude that the best solution to law schools' complaints about the impact of U.S. News rankings is greater data availability and transparency, particularly on post-graduation outcomes and other factors affecting students' eventual employment prospects."
Right now, prospective students use U.S. News as a proxy for employment prospects, but U.S. News measures employment prospects in only a limited fashion. And even those variables (employment rates) are easily manipulated.
Probably the only viable alternative to U.S. News would be a system that collects employment information such as: (1) employment rate at graduation, (2) employment rate at nine months, (3) percentage of graduates employed by each type of legal employer, (4) adjusted median starting salaries for each type of legal employer (adjusted for both cost of living AND hopefully some way of adjusting for the percentage of graduates who report salary info so schools couldn't game this factor as much), (5) adjusted number of employers participating in on-campus interviewing, and perhaps some other factors. Ideally, this information could be added to a web database for which visitors could assign their own weighting to each category (so users could decide what is most important to them and how much each factors affects the overall ranking).