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Grading a whole class at once

Once validation satisfies you, grade the whole set in one pass, then review the results.

Updated November 3, 2026

Grading one paper at a time is how you validate the grader. Once you are confident, you can grade the whole class in a single pass and then review, instead of opening each paper yourself.

When to use it

Bulk grading is available as soon as the assignment has a rubric. It is worth validating the grader against your grading first, so the class is graded closer to your standard.

Running it

The button above the submission list says what it will do, and the number on it is how many papers it sends. With nothing selected it reads Grade N ungraded and grades every paper that has not been graded yet. Tick some rows first and it reads Grade N selected and grades only those.

Grade only fills in papers with no grade. Re-grade grades again every paper it names: the button says Re-grade N selected when your ticked rows include a graded paper, Re-grade all N when every paper is graded, and the caret beside the button offers Re-grade all N otherwise. When a re-grade would replace scores you set yourself, it asks once first. Comments you wrote or edited stay, and any confirm is withdrawn so you can review the new grades. A paper someone else on your teaching team is grading right now is left alone, and a note names who has it.

The Grade step: the paper list with its status chips, and the bar that grades, reviews and re-grades the set.
The Grade step: the paper list with its status chips, and the bar that grades, reviews and re-grades the set.

Either way the whole set is graded together in one run: every paper is graded at the same time, so a full stack finishes much faster than opening and grading each one on its own. You can watch its progress, and stop it if you need to.

You will see one confirmation before the run starts, and only when there is something to say: how many papers it uses, or what is still unvalidated. Tick Don't ask again on it and future runs start on the click, and you can turn the confirmation back on in Settings, under Grading. A run that needs more papers than your plan has left does not start: it says how many you have and how many the run needs, so you can refill first. Re-grading a paper you were already charged for costs nothing.

You still decide

Bulk grading proposes scores for the whole class at once, but it does not release anything. When it finishes, you review the results, adjust anything that needs it, and only then release. Grading at scale and releasing are still separate steps, so nothing reaches a student until you say so.

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  • Uploading papers — Which files work, how a stack is matched to students, and what each status in the paper list means.
  • How grading works — The assistant proposes; you decide. How scores are made and how you stay in control.
  • Scoring a criterion with rules — When a criterion is a checklist rather than a judgment: Binary and Count rules, adding up or deducting, and what the rail shows.
  • Validating the grader against your grading — Run a few papers you have already graded on the Validate step, so the assistant learns how you actually score before it grades the class.
  • Reviewing and adjusting the feedback — Adopt the assistant's observations you agree with, dismiss the rest, and write your own.
  • Reading the grade rail — How much of the AI's read to show, where each score came from, what the look-fors say, and how to filter the margin.
  • Marking up a paper — The grading page: the pen tools, your own comments, suggested rewrites, what students see, and undo.
  • The assistant, and talking to it — The three places you can ask the assistant for help, what each one knows, and how to dictate instead of type.
  • When a grade needs a second try — Stopping a run, re-grading a paper, what a failed or incomplete grade means, and what happens during an AI outage.
  • Your comment library — Every comment you write collects in one library: browse it while grading, insert with a keystroke, and bring in the comments you wrote before.
  • Comment suggestions in your own voice — As you write a margin comment, LawGrader suggests the rest of it, drawn from the comments you have written before.
  • Giving the grader materials and references — Hand the assistant what students worked from (a case, the reading) and the standards you grade against (a citation manual, a house format).