Can I use ChatGPT for a law school legal memo?

Only if your course and honor code allow it. Many LRW professors require your analysis of assigned cases. AI can help outline after you brief the authorities, not invent holdings.

What is the biggest AI failure mode in student memos?

Hallucinated case names, pin cites, and neat rules that do not exist in your packet. Graders catch fake authority faster than awkward prose.

Should I humanize the Rule and Application sections?

Light polish on Application and Discussion after every citation is verified. Keep Issue, short Rule statements tied to real cases, and Quotation accuracy exact.

Will Human Writes fix a wrong holding?

No. It adjusts voice on text you already stand behind. Delete any case you cannot open in your reporter, PDF, or casebook.

Humanize a Legal Memo (IRAC, No Fake Cases)

A student legal memo is an IRAC (or CREAC) audit trail, not a persuasive op-ed. ChatGPT memos sound courtly and often invent cases, mash holdings, or answer a Question Presented you never asked. Polishing that prose produces polished malpractice for class.

Human Writes is the voice pass after your authorities and outline are locked. It is not Westlaw. It will not Shepardize. It will not invent Smith v. Jones.

What LRW graders punish

Element	Weak AI memo	Strong student memo
Question Presented	Vague policy musing	Precise legal question under the facts
Short answer	Hedged essay	Yes/no/likely with one-line why
Rule	Generic “courts consider…”	Elements from cases you briefed
Application	Fact-free adjectives	Fact-to-element matching
Authority	Hallucinated cites	Packet / Westlaw / casebook only
Tone	Advocacy speech	Predictive office-memo voice

Detectors may flag smooth Discussion. Professors flag fake cases and missing elements first.

Lock IRAC before any model

Before ChatGPT or Human Writes, fill this card from authorities you opened:

Field	Your entry
Question Presented	One sentence; jurisdiction if required
Legally significant facts	Only facts the hypo gives
Cases / statutes in play	Full cite + page/pincite you read
Rule / elements	List elements; note splits if any
Application outline	Each element → facts that cut for/against
Counterargument	Strongest opposing reading
Short answer	Predictive, not theatrical

Prompt: “Turn this IRAC card into a memo outline. Do not add cases. Keep my Question Presented wording. Flag any element with no facts as [GAP].”

If a case is not on your card, it does not enter the memo. Models complete the shape of legal writing. They do not own your reporter.

IRAC section checklist

Section	Keep sacred	Soften with humanize
Caption / QP / Short Answer	Exact issue framing	Clarity only
Statement of Facts	Hypo fidelity	Cut AI flourish
Rule / Rule Explanation	Quotes and elements	Cadence around cites
Application	Your mappings	Voice, once
Counterargument / Reply	Fair strength	Tone
Conclusion	Matches short answer	No new authority

Citation format (Bluebook or local) stays exact. Do not “humanize” a pincite into a paraphrase of a holding you did not check.

Before and after (Application paragraph)

AI sludge:

Courts have long recognized that fairness and justice require a holistic, nuanced balancing of the equities in cases such as this, as seen in numerous precedents supporting the plaintiff’s position.

After IRAC card + verified cases:

Under Patel’s two-element test (handout pp. 14–15), the first element is met: the hypo states the guard locked the gate before 9 p.m. The second element is weaker: nothing in the facts shows notice to the night crew, which Patel treated as required (p. 16).

Second version is gradable. It can be wrong on the reading. That is still better than imaginary precedent.

Workflow

Brief every assigned case; mark holdings and key facts with page numbers.
Fill the IRAC card by hand from the hypo.
Draft from the card only. Ban “find cases about X” in a consumer chatbot for graded work unless your professor allows research AI under rules you follow.
Verify every citation against the PDF or reporter before any polish.
One Human Writes pass on stiff Application or Discussion prose.
Re-check quotes and pincites character-for-character.
Disclose AI editing if your honor code or syllabus requires it (ethics checklist).

For longer academic synthesis without fake sources, see literature review and citations habits. For predictive vs persuasive tone in non-law courses, policy memo is the cousin assignment.

Predictive voice vs advocacy

Office memos predict how a court or decision-maker would likely rule on these facts. They are not closing arguments. AI drifts toward uplift (“justice requires”) and away from element matching. When you humanize Application, keep the predictive frame: likely / unlikely / unclear on this record - with facts attached.

If your assignment is a motion or brief instead of a memo, persuasion rules change, but authority discipline does not. Still ban hallucinated cases. Still verify every pin cite.

Genre	Goal	AI trap
Predictive memo	Advise on likely outcome	Invented neat rule
Persuasive brief	Argue for a side	Fake supporting authority
Case brief (class)	Accurate holding	Merged cases into one

What not to do

Accept a case name the model “remembers.”
Let the humanizer rewrite quoted rule language.
Turn a predictive memo into a closing argument.
Chase a detector score instead of element coverage.
Paste confidential clinic client facts into a public chatbot if your school forbids it. Work from redacted hypos you are allowed to share.
Cite a case from memory without opening the page.

Bottom line

Student legal memos win on IRAC discipline and authorities you actually read. Human Writes polishes analysis voice after the citation table is true - never as a cure for hallucinated cases.