Disclosures

§1Affiliations

Pinaka is not affiliated with the Law School Admission Council (LSAC), with any law school, with the American Bar Association, or with any other test-prep company. No third party pays for placement in our content or recommendations.

Where we name an external organization (LSAC, a law school, ABA 509 reports), the reference is descriptive and is cited with a link to the public source.

§2Sponsorships and advertising

Pinaka does not accept sponsored content, paid placements, or affiliate links on the marketing site or in the student app. The product business model is direct subscription and lifetime founding membership only.

If this changes in the future, every sponsored unit will be clearly labeled and this page will be updated to describe the relationship.

§3AI use

Question explanations and skill-map computations are produced by Pinaka authors and reviewed by a second author per editorial standards. Large language models are used for editorial assistance such as grammar, structure suggestions, and surfacing inconsistencies; every published claim is verified by a human author.

AI tools are not used to generate questions that are published as Pinaka questions without human authorship and review.

Pinaka does not use AI tutors during a live mock. The mock environment is deliberately AI-free so timing and decision-making reflect real test conditions.

We do not use your personal data to train third-party AI models.

§4Data sources

Cohort statistics published on Pinaka come from anonymized aggregated mock data from Pinaka users. The form template, date range, and sample size for each statistic are named where the statistic appears.

Score-conversion tables and percentile data cite the published LSAC source with a link. ABA 509 data is cited with the school name and the report year. Where a statistic comes from a third-party study or report, the source and date are named.

§5Use of your data in cohort aggregates

Your mock answers feed an anonymized cohort aggregate that will power public miss-rate statistics. Aggregates require a minimum of one hundred independent attempts before any number is published; smaller cohorts are not surfaced. No Pinaka cohort statistics are currently published; the first numbers will appear after the cohort threshold is met.

Aggregates are anonymized at the source: no user identifier is stored alongside the cohort record, and no aggregate can be reversed to a specific user.

You can opt out of the cohort-aggregate from your dashboard. Opting out does not affect your own skill map or drill recommendations and does not affect your access to the service.

§6Claims we do not make

Pinaka does not guarantee a specific LSAT score, admission to any law school, scholarship outcomes, or career outcomes.

Where the marketing site cites a benchmark (mock-score accuracy, miss-rate ranges, percentile ranges), the methodology and sample size are linked from the cited number. The scaled mock score is a direct conversion from raw correct count using publicly available LSAC score-conversion tables; it is not a prediction of your LSAT performance.