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Head of Product
David_Busis

Applications

Baylor
Intend to apply
Berkeley
Intend to apply
Boston College
Intend to apply
Boston University
Intend to apply
Columbia
Intend to apply
Cornell
Intend to apply
Duke
Intend to apply
Emory
Intend to apply
Fordham
Intend to apply
Georgetown
Intend to apply
George Washington
Intend to apply
Georgia
Intend to apply
Harvard
Accepted
Iowa
Intend to apply
Michigan
Intend to apply
Northwestern
Intend to apply
NYU
Intend to apply
Stanford
Intend to apply
Temple University
Intend to apply
UChicago
Intend to apply
UNC
Intend to apply
UPenn
Intend to apply
Utah
Intend to apply
UT Austin
Intend to apply
UVA
Intend to apply
UVA
Applied
Vanderbilt
Intend to apply
Vanderbilt
Intend to apply
Wake Forest
Intend to apply
Washington & Lee
Intend to apply
WashU
Intend to apply
William & Mary
Intend to apply
Wisconsin
Intend to apply
Yale
Intend to apply

Discussions

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David_Busis
Thursday, Sep 24

Soon! Stay tuned!

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David_Busis
Thursday, Sep 24

We'll look into it, but we probably don't have enough data to make predictions for applicants without a GPA.

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David_Busis
Thursday, Sep 24

We're working on it, but we don't have enough data yet. Sorry!

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David_Busis
Thursday, Sep 24

Working on it. Thank you!

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David_Busis
Edited Thursday, Sep 24

@bella_kr yes. Please use the flag feature in the chat or comments (triple dot). Alternatively, email (david AT 7sage.com) and studentservice@7sage.com.

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David_Busis
Wednesday, Jul 29

@sgdressel We're fixing it.

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David_Busis
Edited Wednesday, Jul 29

@binks @mitchmcconnellburner the predictor is capturing some real jitter in the data, and its results are better fitted to last cycle's results than the old predictor's. Finally, there is a real effect here: law schools protect their yield. It's possible, for example that your chances at Texas A&M really are worse with a 180/3.77 than a 178/3.75, because the admissions officers might think the 180/3.77 candidate is less likely to accept.

All that said, thank you for pointing out the weirdness. We're looking into it.

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David_Busis
Tuesday, Jul 28

@Gilled2461 We have been improving our scholarship predictor steadily on a school-by-school basis.

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David_Busis
Tuesday, Jul 28

@ZingyIndustriousProperty Thank you for pointing this out. There is a bug on My applications. We'll fix it ASAP.

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David_Busis
Tuesday, Jul 28

@PhillyRed19 We are releasing a podcast soon with more details on the methodology. We also put some details in this blog post: https://7sage.com/blog/admissions-predictor-update-same-look-new-engine

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David_Busis
Tuesday, Jul 28

@Mjamail You should use your LSAC GPA for the predictor. You can find your LSAC GPA here: https://7sage.com/admissions/cas-gpa-calculator

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•

Edited Wednesday, Jul 29

David_Busis

Head of Product
😊 Happy

Update: New Admissions Predictor Algorithm

We've rebuilt our admissions predictor from the ground up. The interface didn't change, but it uses a completely new algorithm, now trained on the most recent cycles. Expect lower but more accurate predictions.

What changed

- Newer data. It's now trained on the three most recent cycles, including 2025. The old version was learning from an era that was meaningfully less competitive than the one you're applying into.

- Stats are measured against current medians. Your GPA and LSAT are now evaluated relative to each school's medians rather than in absolute terms, so median drift is built in instead of ignored.

- Your numbers are treated as a package, not a checklist. The old model added up LSAT, GPA, and URM status as independent boosts. The new one learns how those factors interact with each other and with the tier of school you're applying to — the same LSAT can mean very different things depending on the rest of your profile and where you're applying.

- Fewer extreme predictions. The old model was happy to tell you 95% at a T14 on numbers alone. It shouldn't have, and the new one won't.

What that means for you

Most people will see lower numbers, and the drop will be largest at reach schools and for profiles that were previously getting very high admit odds. Nothing about your candidacy changed — the old figures were just too generous.

How we know it's better

Tested against actual 2025 outcomes, log loss (a standard measure that punishes confident wrong answers) fell from 1.35 to 0.85, and predicted probabilities now track observed results closely across the whole range. For scale: applicants the old model gave a ~90% admit chance were actually admitted roughly half the time. That gap is largely gone.

The usual caveat

It still only sees GPA, LSAT, and URM status. Essays, softs, work experience, letters, and school-specific priorities are invisible to it. Treat the output as a well-calibrated starting point for building a school list, not a verdict.

Learn more | Try the predictor.

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David_Busis
Tuesday, Jul 21

This is coming soon!

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David_Busis
Monday, Jul 6

@smcat Correct. @NoNamed92 we're working on it, but no timeline. That's a more extensive change.

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David_Busis
Edited Thursday, Jul 2

@Phigginbo I didn't look for that—sorry. What I did see is that it's typical for students to do a learning phase followed by a practice phase in which they take about 1 PT a week with lots of review and drilling between each PT.

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David_Busis
Tuesday, Jun 30

@ChristopherTobin Feel free to leave feedback in this discussion as well. We welcome it!

1
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David_Busis
Wednesday, Jun 24

@aboucourt I just chatted you.

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David_Busis
Tuesday, Jun 23

@elle114 Yes, but you can always change the schedule back to recover the past order.

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David_Busis
Tuesday, Jun 23

@Liamthumser This is coming!

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Edited Monday, Jun 22

David_Busis

Head of Product
🕵️ Curious

Do you actually review your wrong-answer journal?

We're trying to improve our notes and WAJ system. Do you actually review your wrong-answer journal, or is the main value in taking the notes? If you review, how often?

Please tell us how you're using your notes and wrong answer journals, whether on 7Sage or another app!

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