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Law School Chances Predictor
Enter your LSAT score and GPA to predict admission odds at any law school. Based on nearly one million application outcomes from LSD.Law users across 20+ admission cycles.
Estimate Your Admission Odds
Select a school above to see predicted acceptance, waitlist, and rejection probabilities based on nearly one million outcomes from LSD.Law users.
200+
ABA law schools
~1M
Applicant outcomes
2019–2025
Admission cycles
Want help improving these odds?
Former admissions officers who use this exact data to guide your strategy. Launching for the 2026–2027 cycle.
How the Law School Admissions Calculator Works
Our law school predictor uses a machine learning model trained on nearly one million application outcomes from LSD.Law users across 20+ admission cycles. Each prediction considers your LSAT score, GPA, application timing, soft factors, and school-specific data like LSAT/GPA medians and acceptance rates.
Unlike simple percentile-based calculators, our model accounts for when you apply and how a school’s decision patterns unfold across the cycle. The timeline charts show the probability of each outcome if a decision arrives on a given date, as well as your overall status at each point in the cycle (including the chance of still being pending).
The “Similar Applicants” section finds applicants with stats within ±2 LSAT points and ±0.1 GPA of yours at the same school, showing their actual reported outcomes. When enough data is available, this provides a direct empirical check alongside the model’s estimate.
Important limitations: The model cannot account for personal statement quality, recommendation letters, demonstrated interest, or yield protection. These factors can significantly influence outcomes, especially for borderline applicants. The training data is self-reported and unverified, so it may not be fully representative of all law school applicants. Treat these predictions as a statistical baseline, not a complete assessment of your candidacy.
Law School Admissions Predictor FAQ
How do law school admissions calculators work?
LSD's predictor uses a machine learning model trained on nearly one million law school application outcomes reported by LSD.Law users across 20+ admission cycles. It analyzes your LSAT score, GPA, application timing, and applicant background flags (URM, international, non-traditional, military) to estimate acceptance, waitlist, and rejection probabilities. The model does not account for personal statements, recommendation letters, or other qualitative factors.
What factors affect law school admission chances?
The primary quantitative factors are LSAT score and GPA relative to the school's medians. Application timing also plays a role — earlier applicants tend to see higher acceptance rates, though this partly reflects that stronger applicants often apply earlier. Additional factors include application type (Regular, Early Decision, Priority), URM status, international status, non-traditional background, military service, soft factors, and years out of school.
How accurate are law school admissions predictors?
Our predictor is trained on nearly one million application outcomes reported by LSD.Law users across 20+ admission cycles. It provides probability estimates, not guarantees. Predictions are most reliable for applicants with common LSAT/GPA profiles at schools with substantial data. The model cannot see personal statements, letters of recommendation, or demonstrated interest, which can significantly affect outcomes for borderline applicants.
When should I apply to law school to maximize my chances?
Our data shows applicants who submit earlier in the cycle tend to have higher acceptance rates, though this partly reflects that stronger applicants tend to apply earlier. The effect varies by school — some use rolling admissions where earlier applications may have a structural advantage, while others use committee review and evaluate all applications together. Our timeline charts show how decision probabilities shift across the cycle for each school.
What are soft factors in law school admissions?
Soft factors are non-numerical aspects of your application such as work experience, leadership, community involvement, and unique backgrounds. The LSD community rates them from T1 (exceptional, e.g. Rhodes scholarship, published research) to T4 (limited experience). Our predictor adjusts odds based on your soft factor tier, and also shows actual outcomes for similar applicants with comparable stats.
What is a safety, target, and reach school for law school?
Schools are categorized based on predicted acceptance probability. Safety (65%+) means a strong chance of admission. Target (30–65%) means solid odds. Reach (12–30%) means admission is possible but not favored. Long Shot (under 12%) means unlikely but not impossible. These categories are based on overall cycle odds. We recommend having multiple schools in each category when building your list.
Where does the law school predictor data come from?
The predictor is trained on nearly one million application outcomes reported by LSD.Law users across 20+ admission cycles — the largest public collection of law school admissions data available. The volume and consistency of the data make it a highly reliable resource for modeling admissions patterns. The model also incorporates official ABA 509 school statistics (LSAT/GPA medians, acceptance rates) to contextualize each prediction.
Predictor concept, model, and groundwork by Morgan W.