How LSD.Law Ranks Law Schools
How the LSD.Law ranking is computed — a Bradley-Terry pairwise preference model fit to where cross-admitted applicants actually choose to enroll.
Rankings shape where applicants apply, how schools compete, and which firms recruit on which campuses. A school's rank is the shorthand employers and clerkship committees use before reading a resume.
Most published rankings blend inputs the editors chose — reputation surveys, LSAT and GPA medians, employment rates, expenditure per student — and weight them by hand. Change the weights and the order changes. Schools chase the inputs they know move the needle, and reputation surveys tend to reward schools that were prestigious a generation ago.
The LSD.Law ranking uses a different input: where admitted applicants actually choose to enroll.
What cross-admit data is
When an applicant is admitted to more than one school — say, Georgetown and NYU — the one they enroll at is a preference signal. They weighed prestige, money, location, fit, and career prospects, and chose. Any single choice is noisy, but aggregating thousands of them across every accredited law school produces a consistent ranking based on revealed applicant preference rather than dean surveys.
How the model works
The LSD ranking takes cross-admit pairs as its only input. When an applicant reports multiple admits and one enrollment, each school they turned down records a loss against the one they picked. Five admits and one enrollment produce four head-to-head results. Over tens of thousands of reported cycles, that produces a dense web of pairwise comparisons across every US law school.
A Bradley-Terry pairwise preference model — the same technique used to rate chess and tennis players from match histories — fits a strength score to each school so that the observed wins and losses are as likely as possible. Schools sorted by that score produce the ranking. Pairs that rarely meet head-to-head are handled by chaining comparisons: if A beats B and B beats C, A ranks above C. Recent cycles are weighted more heavily than older ones, so shifts in applicant behavior show up rather than being diluted by decade-old choices.
What it doesn't factor
A preference-based ranking measures desirability as admitted applicants perceive it. Several things that matter for your own decision are deliberately outside it:
- Employment outcomes and bar passage rates.
- Cost of attendance and scholarship generosity.
- Specialty strength (tax, IP, public interest, and so on).
- Location, culture, and whether you'd be happy there.
Those live on the school profile alongside the ABA 509 data. The ranking tells you how admitted applicants collectively choose; the profile tells you whether that choice fits your own situation.
How this compares to US News
US News weights reputation surveys and selectivity heavily — LSAT and GPA medians, acceptance rate. The LSD ranking uses none of that. Selectivity is a lagging indicator of prestige: a school is hard to get into partly because admitted applicants want to go there, and cross-admit data captures that preference directly. The two rankings usually agree near the top and diverge in the middle, where reputation and revealed preference pull apart. The glossary covers terms like "T14" and "peer assessment" that come up when comparing systems.
See it live
The rankings page shows the LSD ranking next to US News and other systems, so you can see where they agree and where they diverge.