Getting Started with LSD.Law

Users report their stats (LSAT, GPA, demographics) and their cycles — where they applied, when they heard back, decisions, scholarships. Everything goes into the public dataset, with enough volume to show cycle-over-cycle patterns at individual schools.

LSD also imports the official ABA 509 disclosures — the annual reports every accredited law school files on class composition, employment outcomes, bar passage, tuition, and financial aid. The ABA publishes this as scattered spreadsheets; LSD consolidates it into the tables and charts on each school profile.

The LSD ranking is fit to cross-admit decisions — where applicants enroll when admitted to multiple schools. The admissions predictor is a model trained on reported cycles; it returns accept, waitlist, and reject probabilities for any applicant-school pair.

Every school has a profile page with an interactive data explorer — a scatter plot of every reported applicant for that school, color-coded by outcome. You can change the axes, filter by demographics, and click any data point to open that applicant's full profile. Use it to answer "how do my numbers compare to the people who got in here?"

The rankings page shows multiple ranking systems side by side, and the compare tool lets you put schools next to each other on admissions stats, employment outcomes, cost, and scholarship data.

The admissions predictor takes your LSAT, GPA, and demographics and returns accept/waitlist/reject probabilities for any school. The applicant search lets you find people with similar stats and see where they applied and what happened.

The recent decisions feed shows application outcomes as they come in. The heard back tracker shows what percentage of applicants have received responses from each school, broken down by when they applied. The cycle tracker compares the current cycle to previous ones.

Most of the site works without an account. If you already have a target school list, start with the predictor or go straight to a school's profile to explore the data. If you're still building your list, browse the rankings or use applicant search to find people with your stats.

Creating a free account lets you report your own cycle, which contributes back to the dataset and unlocks applicant profiles. If you run into unfamiliar terminology — splitters, softs, UR2, KJ2 — the glossary defines every term used on the site.