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2025 LSD.Law School Rankings
136K+ cross-admit decisions across 202 schools. Compare head-to-head → LSAT/GPA stats →
How these rankings work
Methodology
The LSD.Law School Rankings are built on a simple premise: law school applicants are generally rational people who do their research. When someone is admitted to two schools and chooses one over the other, that decision reflects real information about career outcomes, campus culture, financial aid, location, and everything else that matters to them. Aggregate 136,000+ of these decisions and you get a ranking that reflects what applicants actually value, not what a for-profit magazine thinks they should. U.S. News produces rankings where Texas A&M went from #50 to the doorstep of the T14 in three years with no obvious change that helps students. No practicing lawyer, law professor, or applicant takes that seriously. These rankings let the applicants speak for themselves.
Model
The statistical model behind the rankings is Bradley-Terry, the standard framework for deriving a global ordering from pairwise comparisons (used in chess ratings, sports rankings, and similar systems). When an applicant admitted to School A and School B enrolls at School A, that counts as a win for A. Each school's strength score reflects its position in the overall preference hierarchy across all such matchups.
Weighting and Stabilization
Recent cycles are weighted more heavily through exponential decay, so the rankings reflect current preferences while still drawing on the full historical dataset. Schools with limited cross-admit data are stabilized via Bayesian regularization (virtual matchups against an average opponent) that prevent a handful of data points from causing erratic rank swings. Schools with abundant data overwhelm this prior and rank on their actual win rates.
Ties
Schools are tied when their strength scores are too close to meaningfully distinguish. Specifically, if the implied head-to-head win probability between two adjacent schools is near 50/50 (within a 10% margin), they share the same rank.
Harvard, Yale, Stanford — the consensus top tier regardless of annual rank
HYS is the one tier that matters most in practice. Hiring partners at top firms and federal judges still treat these three schools as a class apart — no amount of US News reshuffling changes that. Yale held the #1 spot every single year until US News changed its methodology in 2023, and it remains the consensus top law school. Harvard and Stanford rotate behind it, but the prestige gap between HYS and everyone else remains the most durable line in legal hiring. Admission typically requires a 174+ LSAT and 3.9+ GPA.
HYS Harvard, Yale, Stanford — the consensus top tier regardless of annual rank
HYS is the one tier that matters most in practice. Hiring partners at top firms and federal judges still treat these three schools as a class apart — no amount of US News reshuffling changes that. Yale held the #1 spot every single year until US News changed its methodology in 2023, and it remains the consensus top law school. Harvard and Stanford rotate behind it, but the prestige gap between HYS and everyone else remains the most durable line in legal hiring. Admission typically requires a 174+ LSAT and 3.9+ GPA.
Top 6 — near-universal BigLaw and clerkship access regardless of class rank
HYS plus Chicago, Columbia, and NYU. The T6 has been remarkably stable for decades. The distinction between HYS and the rest of the T6 is real but narrow, mostly relevant for academia and Supreme Court clerkships.
T6 Top 6 — near-universal BigLaw and clerkship access regardless of class rank
HYS plus Chicago, Columbia, and NYU. The T6 has been remarkably stable for decades. The distinction between HYS and the rest of the T6 is real but narrow, mostly relevant for academia and Supreme Court clerkships.
Top 14 — the historic prestige boundary for national BigLaw placement
For decades, the same 14 schools held the top 14 spots — hence the name. That streak broke recently as Georgetown dropped out and Texas and UCLA moved in. The term persists because it marks a meaningful employment boundary: T14 graduates can find BigLaw or federal clerkships in any US market. Below the T14, placement becomes increasingly regional.
T14 Top 14 — the historic prestige boundary for national BigLaw placement
For decades, the same 14 schools held the top 14 spots — hence the name. That streak broke recently as Georgetown dropped out and Texas and UCLA moved in. The term persists because it marks a meaningful employment boundary: T14 graduates can find BigLaw or federal clerkships in any US market. Below the T14, placement becomes increasingly regional.
Top 25 — strong national programs, often best ROI with scholarships
Schools in the 15–25 range often offer the best return on investment when scholarships are factored in — similar career outcomes to lower T14 schools at significantly lower cost. Market strength tends to be concentrated in 1–2 geographic regions.
T25 Top 25 — strong national programs, often best ROI with scholarships
Schools in the 15–25 range often offer the best return on investment when scholarships are factored in — similar career outcomes to lower T14 schools at significantly lower cost. Market strength tends to be concentrated in 1–2 geographic regions.
Top 50 — solid regional placement, class rank matters more
BigLaw placement rates vary widely (from ~10% to ~40%) and class rank matters significantly more than at higher-ranked schools. Many T50 schools are the dominant pipeline for their state's legal market.
T50 Top 50 — solid regional placement, class rank matters more
BigLaw placement rates vary widely (from ~10% to ~40%) and class rank matters significantly more than at higher-ranked schools. Many T50 schools are the dominant pipeline for their state's legal market.
Below Top 50 — rankings increasingly reflect limited cross-admit data
Below around rank 50, cross-admit data becomes sparse. Most applicants to these schools aren't choosing between them and higher-ranked schools in large enough numbers for the model to confidently distinguish individual positions. Rankings here are directionally useful but shouldn't be read as precise ordering. Focus on bar passage rates, regional employment strength, and scholarship offers.
T75 Below Top 50 — rankings increasingly reflect limited cross-admit data
Below around rank 50, cross-admit data becomes sparse. Most applicants to these schools aren't choosing between them and higher-ranked schools in large enough numbers for the model to confidently distinguish individual positions. Rankings here are directionally useful but shouldn't be read as precise ordering. Focus on bar passage rates, regional employment strength, and scholarship offers.
Below Top 75 — rank differences are largely statistical noise
At this range, the cross-admit model has very few observations per school. Rank differences of 10-20 positions are not meaningful — the model genuinely cannot distinguish these schools from each other. Compare schools on employment outcomes, bar passage rates, geographic placement, scholarship generosity, and specific program strengths rather than rank number.
T100 Below Top 75 — rank differences are largely statistical noise
At this range, the cross-admit model has very few observations per school. Rank differences of 10-20 positions are not meaningful — the model genuinely cannot distinguish these schools from each other. Compare schools on employment outcomes, bar passage rates, geographic placement, scholarship generosity, and specific program strengths rather than rank number.
Below Top 100 — consider school-specific factors over rank
Rankings at this level are almost entirely driven by the model's prior assumptions rather than actual cross-admit data. These schools serve important roles in their regional legal markets, but their relative ordering here should not be used for decision-making. Evaluate each school on its own merits: bar passage, employment in your target market, cost, and program fit.
150+ Below Top 100 — consider school-specific factors over rank
Rankings at this level are almost entirely driven by the model's prior assumptions rather than actual cross-admit data. These schools serve important roles in their regional legal markets, but their relative ordering here should not be used for decision-making. Evaluate each school on its own merits: bar passage, employment in your target market, cost, and program fit.