Closing-set & fund-document consistency review
Can AI check a fund's closing set for consistency — PPM vs LPA vs subscription docs? Yes for the cross-read — surfacing where the documents say different things about the same term. No for the resolution: which document governs, and whether a mismatch is a drafting error or deliberate, is a legal call.
| The pain | A fund closes on a set of documents that must agree with each other — the private placement memorandum, the LPA, the subscription documents, the side letters. When a fee, an investor-eligibility rule, a key-person clause or a defined term is described one way in the PPM and another in the LPA, that inconsistency is a real problem — and finding it means reading hundreds of pages across several documents at once, holding each term in your head to check it against the others, under closing time pressure. |
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| What AI does today | Read the whole closing set together and surface where the documents diverge on the same term — a fee stated differently in the PPM than the LPA, a defined term used inconsistently, an eligibility rule that doesn't match the subscription form — and answer questions across the set. The boundary: the cross-document semantic read is the AI slice; redlining, versioning and the closing checklist remain the ordinary mechanics, and every flagged mismatch is adjudicated by counsel on the source documents. |
| Proof it's real | Vendor-claimed, wide legal-market footprint. Harvey reports use by 1,500+ customers including roughly 50 asset managers, across document review and fund-formation workflows — figures that are the company's own, though its adoption across large law firms is independently reported. Per-matter use on fund closing sets specifically is not published by anyone. Newest evidence: 2026. |
| What it can't do | It cannot make the legal call — that is where the human sits: whether a mismatch matters, which document governs, and whether it is an error or an intended carve-out are counsel's judgments. A model can miss an inconsistency that turns on context outside the documents, or flag a difference that is deliberate; it surfaces candidates, it does not clear the closing set. |
| The real alternatives |
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| What you need in place | Confidentiality terms for wherever the closing set is processed (same bar as the data room: no training on your documents); counsel ownership of every adjudication; and if you run a second-pair-of-eyes check in-house, a rule that anything material is confirmed on the source document, never on the model's summary. Where the group restricts document AI, the internal gateway is likely the only approved route for pre-signature documents. |
| Effort & cost |
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| What to watch | Test recall on planted inconsistencies — does it actually catch the fee that differs by 5bps between two documents, or only the obvious ones? A tool that reads well but misses the buried mismatch gives false comfort on exactly the check you bought it for. |
Prompt to try: compare key terms across the closing set
The prompt lines up the same term across the PPM, LPA, subscription documents and side letters, and returns a linked comparison with every mismatch quoted from both sides.
- 1Map the sourcesPPM, LPA, subscription docs, side letters
- 2Trace the preparationVersions, amendments, defined terms
- 3Match and reconcileClause topics, defined terms
- 4Build the linked workbookTerm comparison, clause cited
5. Controls (must pass)Every key term compared across the setLatest version of each documentEvery difference quoted from both sidesEvery defined term defined, none in conflictFour-eyes sign-off
6. Measured over timeBack-test finds every known difference0 corrections after sign-offCycle time vs manualRolls forward with 0 manual edits
Before you start:
- Use your firm's approved AI tool, not a personal account.
- Mask investor names and any data your policy keeps out of AI tools.
- Replace the parts in [brackets] before you run it.
You are helping a fund formation lawyer or paralegal compare the key terms across the closing set for [fund]. A human reviewer checks everything you produce. You do not decide which document is right. Counsel decides.
I attach:
- PPM: [current version]
- LPA: [current version]
- Subscription documents and side letters: [current versions]
Work through the six steps below. Show the result of each step before you move on.
STEP 1. MAP THE SOURCES
For each file, record: who produced it; the as-at date it states (not the date it was sent); the currency; what one row or section represents; the fields that identify a term; the value fields and how each is labelled; and any subtotals, hidden rows, merged cells or footnotes that change how it should be read. Where the files differ in as-at date, period or currency, list each difference and say how you will handle it: convert at an FX rate from the Inputs tab with its source, or compare like periods only. Stop and ask me only if a difference means two figures cannot validly be compared.
STEP 2. TRACE THE PREPARATION
For each document, record the version and date, and list defined terms and where each is defined.
Label each statement "stated in the file" or "my inference".
STEP 3. MATCH AND RECONCILE
3a. Keys. List clause and section numbers per document.
3b. Wording. Describe how the same term is worded in each document.
3c. Standardise. Assign each clause a standard topic (fees, term, investment period, eligibility, transfers, key person, removal).
3d. Map. Line up clauses by topic, with reason. A suggested pairing is never confirmed.
STEP 4. BUILD THE LINKED WORKBOOK
Build an .xlsx file with these tabs, in this order:
- Index: a link to each tab, one line on what it holds, the as-at date, the mismatch count as a formula, and the steps to refresh the workbook next period.
- Inputs: fund, document versions and dates, with the source that confirms each is the latest version; the key-term checklist the reviewing lawyer approves, plus any further topic from step 3c; plus the as-at date of each source file, with any differences between them and how each is handled; any FX rates needed, with their source and date, and the tolerance for agreement with documents (0.00 wherever exact agreement is required). Each value carries its source beside it, and every formula that needs one points here.
- _Source tabs: each file exactly as received, one tab per file. Never edit these tabs.
- Map: clauses lined up by topic, with match method ("shared ID" for a shared clause number, "standardised name" for a shared topic, or "suggested, needs review") and reason. For each suggested match, the person who confirmed it and the date.
- Compare: one row per term and document, with the topic from the Inputs tab, quoting that document's wording with its source document, page and clause, and a status of "consistent", "different" or "missing".
- Terms: one row per defined term and document that uses it: the term, the clause that uses it, the document and clause that define it (or "not defined"), the definition quoted with its source document and page, and a flag formula reading "defined", "missing" or "conflict" (where the set defines it differently).
- Exceptions: one row per failed control, untraced or disagreeing figure, unconfirmed match and open query, with its type ("failed control", "untraced figure", "disagreeing figure", "unconfirmed match", "open query" or "timing difference"), a description, its owner, status ("open" or "closed"), expected clearing date and the approver's sign-off.
- Checks: the controls in step 5.
- KPIs: the measures in step 6.
- _Log: the audit trail in step 6.
Every derived number is a formula that leads back to a _Source tab or the Inputs tab. Nothing is typed in as a value. Use Excel tables and XLOOKUP or INDEX/MATCH. Wrap lookups in IFERROR and show "Not found", never zero. Dates as yyyy-mmm-dd, negatives in brackets, units in every value header, header rows frozen, no decorative formatting.
STEP 5. CONTROLS (EVERY ONE MUST PASS BEFORE SIGN-OFF)
On the Checks tab, write each control as a formula that returns TRUE or FALSE, with the count or difference beside it. A FALSE is not a score to improve: it blocks sign-off until it is resolved, by correcting the entry with a note or by getting the source corrected. An explanation alone does not clear it. The only item that may stay open at sign-off is a timing difference with an expected clearing date: it is listed by name on the Exceptions tab as a reconciling item and re-checked next period. A document tie-out failure is never a timing difference and can never be carried. Show every FALSE at the top of the Index tab under "Checks failing".
a. Complete: every topic on the approved key-term checklist on the Inputs tab has a Compare row for every document, and every clause on the _Source tabs is assigned a topic on the Map tab or listed as "no key term" with a reason. Target: 0 unexplained rows.
b. Mismatch count agrees: the mismatch count shown as a formula on the Index tab equals the count of "different" and "missing" rows on the Compare tab. Target: a difference of 0.
c. Formula-linked: every calculated cell is a formula (test with ISFORMULA), and there are no #N/A or #REF errors. Target: 100%.
d. Tied to documents: on the Compare tab, every quote cites document, page and clause. Every quote and figure must be traced (it cites its document and page) and must agree: a quote matches the document word for word, and a figure equals the document within the tolerance on the Inputs tab and no wider. Any item that is untraced or disagrees goes to the Exceptions tab at once. If the document itself looks wrong, for example a side letter that refers to an LPA clause number the LPA does not contain, raise it as a query; never change the workbook to make it agree. Target: 100%.
e. Matches confirmed: count the rows matched by shared ID, by standardised name and by suggestion. Target: 0 suggested matches left unconfirmed at sign-off.
f. Differences quoted: every topic with a "different" or "missing" row quotes the wording of every document on that topic side by side, or reads "not found" with the sections searched where a document has no clause on it, so counsel can decide without reopening the files. The model never marks which document is right.
g. Versions: every document compared is the latest version, with version and date on the Inputs tab.
h. Defined terms: every defined term used has an applicable definition. A missing definition, or definitions that conflict across the set, is flagged.
i. Open exceptions: count the Exceptions rows that are not closed, leaving out only named timing differences with an expected clearing date. Target: 0.
j. Four-eyes: the _Log names the preparer and the approver, who must be different people, and the approver signs off every Exceptions line.
STEP 6. REUSABLE, AUDITABLE AND MEASURED
- Reusable: next period, a person replaces the _Source tabs and updates the Inputs tab, and every other tab recalculates. Keep the Map tab so confirmed matches carry forward.
- Auditable: on the _Log tab, list each source file (name, producer, as-at date, date received, row count, control total), every rule and match you applied with the reason, every assumption, and who prepared and approved. Never overwrite source data. A correction goes in a separate column with a note.
- Measured: add a KPIs tab that the team fills in each period: back-test recall (run on a past period with known answers; share of known differences found; target 100%, and do not adopt the workbook below that); items agreed first time with no manual fix; items flagged that turned out fine; corrections made by the reviewer before sign-off; corrections found after sign-off (target 0); manual edits outside the Inputs and _Source tabs at refresh (target 0); and cycle time in hours from receiving the files to sign-off, against the manual baseline.
If your tool cannot create an .xlsx file, give me each tab as a table plus the exact formula for the first row of every calculated column.
At the end, give me terms consistent, terms different, and terms missing from a document, the result of every check, and a list of anything you were unsure about.What good output looks like:
- Mismatches are quoted from both documents.
- Defined terms used before or without definition are listed.
- No row states which version is correct.
- Every control on the Checks tab reads TRUE before sign-off. Only a timing difference with an expected clearing date is carried as a reconciling item.
How to know it worked:
- Back-test: run it on a past period where the answers are known. Adopt it only if it finds every known difference.
- After sign-off: no corrections are found later.
- Over time: fewer reviewer corrections and false flags, and a cycle time below the manual process.
Who signs off: Fund counsel reviews each mismatch on the source documents. The workbook is the working file, not the record.
In practice: rerun it after each round of comments; the mapping from the last run saves most of the work.
Questions operators ask
Can AI review our fund documents for consistency?
Yes — reading the PPM, LPA and subscription documents together and flagging where they diverge is a genuine strength, and it catches the cross-document misses that string-matching tools can't. Counsel adjudicates every flag on the source; the model never clears the set.
Does this replace the law firm on a closing?
No — it changes what the hours buy. The mechanical cross-read compresses; the judgment, the drafting fixes and the accountability stay with counsel. The fair question for your firm is whether their AI use shows up in the closing bill.
Related: side-letter obligation extraction, data-room & due-diligence first pass and the Fund AI desk.