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Grading and feedback

How grading works

The assistant proposes; you decide. How scores are made and how you stay in control.

Updated September 17, 2026

The most important thing to know about grading in LawGrader: the assistant proposes, and you decide. A score is never final until you approve it.

What happens when you grade

When you grade a paper, the assistant reads it against your rubric and proposes a score for each criterion, with margin comments tied to specific passages and an itemized account of what each one cost. It is doing the first read, the way a teaching assistant might, so you can react to something concrete instead of starting from a blank page.

Text students were required to copy

If your assignment includes wording students must reproduce word for word (a required format, a heading block, a signature line, a template), the assistant recognizes it in the paper and treats it as yours, not theirs. It will confirm the required wording is there and correctly reproduced, and tell a student when they left a bracketed placeholder unfilled. It will not critique that wording, and it will not count it as evidence of how well the student writes. Criteria about the student's writing are judged from the student's own text.

You do not have to set this up. It comes from comparing the paper to the assignment description, so pasting the required format into the description is all it takes.

How you stay in control

  • AI scores are proposals. You adopt, adjust, or override any of them. Your number always wins. On a Fixed point criterion each level shows its level value (5, 4, 3, 2, 1), picking one is the whole score, and the header shows what it pays ("Good · 20/25"); there is nothing to fine-adjust, because a fixed point pays whole points. On a Ranges criterion each level shows the point range it covers, you can fine-adjust the score in its rounding step, and the highlighted level always follows the score. A range that starts with a > excludes that number: a level reading >50–75 covers everything above 50 up to 75, while 50 itself belongs to the level below, whose range ends there. On a Checklist criterion the marks are the score: each item shows what it earned of its worth, and flipping an item's mark between met, partial, and missing recomputes the sum on the spot, so there is never an unexplained fraction.
  • Every comment is reviewable. Keep the ones that help, dismiss the ones that do not.
  • Every deduction's cost is editable. When a finding is right but priced wrong, open the criterion's Score Explanation and click its cost: raise it, lower it, or drop it to a no-cost note without deleting the comment. The ledger shows what you changed ("was −4"), and the assistant learns from the adjustment.
  • Nothing reaches a student until you release it. Grading and releasing are separate steps on purpose.
  • If part of a paper could not be read, you are told, not guessed at. Some criteria are judged from the look of the page rather than the words, and occasionally that read cannot happen: a submission has no PDF, or the read simply fails. Those criteria come back unscored and the paper shows as Incomplete instead of a number, because a score covering only part of your rubric would misrepresent the work in either direction. Score the missing criteria yourself and the grade completes normally.

Turning the assistant off

You decide whether the assistant grades at all.

By default, papers are graded as they arrive. Grade papers as they arrive in Settings under Grading turns that off, and it covers every assignment. When it is off, an assignment's Grade step says so: a Grading on arrival: Off chip sits beside the step's name, and the paper list tells you how many are ready and waiting. Both link back to the setting.

Holding papers means exactly that. Nothing is sent to the AI, and nothing is billed. You can still press Grade all whenever you want, on any assignment: turning off automatic grading says "do not grade for me", not "refuse when I ask".

Settings, then Grading & feedback: the defaults every assignment starts from, including whether papers are graded as they arrive.
Settings, then Grading & feedback: the defaults every assignment starts from, including whether papers are graded as they arrive.

If you want one particular stack held back rather than all of them, that is what the Validate step is for: grade a few yourself first, and bulk grading unlocks once you have.

An assignment with no rubric is never graded by the assistant at all, since there is nothing to grade against.

Validation: teaching it your standards

Before you grade a whole stack, you can validate the grader on a few papers you have already graded yourself. The assistant learns from where your scores differ from its proposals, so the rest of the batch lands closer to how you actually grade. This is optional, and it is one of the best ways to make the feedback feel like yours.

Bulk grading

Once you are confident, you can grade a whole set at once and then review the results, rather than opening each paper one at a time. You still confirm before anything is released.

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Keep reading

  • Uploading papers — Which files work, how a stack is matched to students, and what each status in the paper list means.
  • 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.
  • Grading a whole class at once — Once validation satisfies you, grade the whole set in one pass, then review the results.
  • 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 supporting docs — Hand the assistant the documents you grade against: the set reading, a reference text, a style guide.