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Using LSAC’s Official Guide , you can search for schools by location, keyword, and UGPA/LSAT combination to find the best law school for you. Each school profile also provides links to the institution’s most up-to-date information on admission requirements, tuition, special programs, and more.

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Suffolk University Law School

Boston, Massachusetts

Read more about Suffolk University Law School

You can keep track of the schools to which you’d like to apply in your LSAC JD Account. To create your School List, select “Search for Schools” from your account dashboard. From here, you can access a full list of LSAC-member law schools. All ABA-approved law schools are also members of LSAC.

When you find a school that interests you, make sure to add it to your personal School List. This will give you access to the school’s online application.

Additional Schools

In addition to the ABA-approved schools listed above, there may be schools in the state you searched that are not approved by the ABA, including some that are currently seeking ABA approval. Before you enroll in a law school not approved by the ABA, you should research the bar-admission limitations of obtaining a degree from the school and enroll only if it is clear that the school will provide adequate legal training.

View a list of these schools


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A Free, Personalized Report to Help You Apply with Confidence

Through Law School Transparency, powered by LawHub ® , you have access to a free, personalized list of law schools that’s ranked based on your interests and job preferences. With in-depth data about employment outcomes, student-debt projections, and more, this customized report will help you make strategic choices about where to apply and attend law school.

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Using Your UGPA and LSAT Score to Predict Likelihood of Admission to Law School

Results for the UGPA/LSAT search are computed using a proprietary logistic regression model employing fall 2023 full-time application and admission data as reported by all ABA-approved law schools. The results presented represent approximately a 95 percent probability that an applicant to a particular school for fall 2023 would have had the stated percentage likelihood of admission. Logistic regression assumes certain statistical patterns in the data and may slightly over- or under-represent the actual probability of admission of an applicant to that year’s class if those patterns were not uniformly present. For instance, this model might overestimate the probability for admittance for applicants just under the lowest score that a school accepted in 2023, and it might underestimate the probability for admittance for applicants just above that score. For more details on acceptance ranges at each school, please review the school’s full Official Guide page.

Please keep the following in mind when reviewing the likelihood of admission figures:

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