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A 6 month LSAT study plan is not too long if it is phased, and is wasted if it is not: program duration did not predict outcomes at p = .314 in the research. Run four phases, foundations, untimed accuracy, timed integration and taper, leaving each on a performance trigger.
Not if it is phased. Six flat months of the same activity is too long and produces burnout with no corresponding gain. Six months in four distinct phases, with the intensity in the middle, is close to ideal for a large target move.
The evidence on duration is worth reading carefully here. Program duration in weeks did not predict outcomes at p = .314, and neither did contact hours at p = .489, across 28 studies and more than 16,000 participants, per Hao and colleagues (2025), Review of Educational Research (https://journals.sagepub.com/doi/10.3102/00346543251360775).
The conclusion is not that six months is useless. It is that six months of the wrong activity is worth no more than one month of it, so the phase design is the entire value of the timeline.
Four phases, with distinct jobs. The failure mode of long plans is doing phase two for six months, and the discipline is being willing to leave a phase when its job is done rather than when the calendar says so.
PhaseWeeksJobWhat you stop doing at the endFoundations1 to 4Learn question types, conditional notation, and the structural readStop learning new frameworksUntimed accuracy5 to 12Get questions right with no clock, building the review habitStop working untimedTimed integration13 to 20Apply the same accuracy under section timingStop drilling single types in blocksSimulation and taper21 to 26Full exams, error-journal review, and deliberate deloadingStop adding material entirely
Because speed built on shaky accuracy is a way of making errors faster. Almost everyone wants to time everything from week one, and almost everyone who does it plateaus around week ten.
The rule for leaving the untimed phase is accuracy rather than the calendar: when you are consistently above your target accuracy with no clock, the clock becomes the next problem. Before that, the clock is a distraction from the actual problem.
Eight weeks is a long untimed phase and it is the single most common thing successful plans have that unsuccessful ones do not.
A long timeline is only an advantage if it is spaced, and spacing is where the measured gains are. Spaced practice produced 47.3 percent correct against 36.7 percent massed, and 259 of 271 comparisons favored spacing, per Cepeda and colleagues (2006), Psychological Bulletin (https://www.yorku.ca/ncepeda/publications/CPVWR2006.pdf).
Interleaving matters just as much once you know the types. Interleaved practice produced 61 percent correct against 38 percent blocked at a 33-day delay, d = 0.83, across 787 students and 54 classrooms, per Rohrer, Dedrick and Hartwig (2019), Journal of Educational Psychology (https://gwern.net/doc/psychology/spaced-repetition/2019-rohrer.pdf).
One caveat worth carrying: spacing effects shrink as tasks get more complex, down to d = 0.07 on high-complexity tasks, per Donovan and Radosevich (1999), Journal of Applied Psychology (https://gwern.net/doc/psychology/spaced-repetition/1999-donovan.pdf). Space the drilling; do not try to space a full timed exam into pieces.
Build one full rest day a week and one lighter week in every four, from the start rather than when you need it. Plans without scheduled deloads do not get followed for six months; they get abandoned in month four.
Expect the curve to be lumpy rather than smooth. Exponential fits beat power fits in 82.2 percent of 7,910 individual learning series, and averaging across people manufactures smooth curves that no individual actually follows, per Heathcote, Brown and Mewhort (2000), Psychonomic Bulletin and Review (https://link.springer.com/content/pdf/10.3758/BF03212979.pdf).
So a flat fortnight is not evidence your plan has failed. Whether performance plateaus are even real remains unresolved after 120 years of study, and averaging can both manufacture and conceal them, per Gray (2017), Current Directions in Psychological Science (https://journals.sagepub.com/doi/abs/10.1177/0963721416672904).
It does not buy a guarantee, and it does not buy a proportional return on hours. Deliberate practice explains about 12 percent of performance variance overall and about 4 percent in education, per Macnamara, Hambrick and Oswald (2014), Psychological Science (https://gwern.net/doc/psychology/2014-macnamara.pdf).
Read that as encouragement rather than the reverse. It means the marginal hour is worth less than the marginal improvement in method, which is exactly the lever a six-month plan can pull and a one-month plan cannot.
The people who gain most over six months are not the ones who studied most. They are the ones who changed how they reviewed in month two and then had four months to compound it.
Every LSAC figure on this page was taken from LSAC's own pages and last checked on July 26, 2026. Prices, dates and policies move without notice, so the source link sits next to each number rather than in a bibliography at the bottom.
Where LSAC has not published something, this page says so in those words rather than filling the hole with a plausible number. That is the difference between a gap and a guess, and only one of them is safe to plan around.
Not if it is phased. Six flat months of one activity produces burnout without gain, since program duration did not predict outcomes at p = .314 in Hao and colleagues.
Four phases: foundations for four weeks, untimed accuracy for eight, timed integration for eight, then simulation and taper. Leave each phase on a performance trigger rather than a date.
Longer than feels comfortable, typically eight weeks. Leave it when you are consistently above target accuracy with no clock, not when the calendar says so.
Schedule one rest day a week and one lighter week in four from the start. Plans without built-in deloads tend to be abandoned around month four rather than completed.
Yes, and individual learning curves are lumpy: exponential fits beat power fits in 82.2 percent of 7,910 individual series in Heathcote and colleagues, and smooth average curves describe nobody in particular.
Written by Ali, Georgetown Law, founder of Lovare Institut.
August 5, 2026
August 5, 2026