AI Due Diligence Tools (2026): Which AI Can Review a Data Room

The best AI due diligence tool is the one your NDA and the data room let you use. If the seller has switched on AI inside the room (Datasite, Ansarada, Intralinks, iDeals or Peony), start there: the documents never leave, and the answers point back to the page. If the seller lets files out and the NDA covers your vendor, legal AI (Harvey, Legora, Luminance, Kira) and financial AI (Hebbia, Rogo, AlphaSense) go deeper on that set. General chat tools such as ChatGPT, Claude and Copilot come last, and only on enterprise accounts.

Key takeaways

• Where the documents are allowed to go decides which AI you can use. A view-only, watermarked room rules out every outside tool, however good it is.
• There are three places AI can read a data room: inside the room (the seller controls it), outside on files the seller lets out (the buyer's firm picks the tool), and general-purpose chat (each user's account). This page maps them in the Inside-or-Outside the Room Matrix.
• NDAs are the real constraint. Confidentiality agreements typically limit disclosure to named Representatives or to a defined purpose, and law firms now warn that uploading data room files to a third-party AI tool may breach them (DealLawyers.com, August 2026).
• Connectors changed the picture in 2026. Datasite, Intralinks and Ansarada now pipe permissioned files into outside tools such as Harvey, Legora, Rogo and Hebbia, which solves the download problem but not the NDA problem.
• Jobs, not brands, should pick the tool: in-room AI for cited answers and Q&A drafting, legal AI for clause extraction at scale, financial AI for CIM and model work, general chat for your own notes.
• Peony (our product) puts AI document Q&A with page-level citations on every paid plan from $30 per admin per month billed yearly, lets the seller switch AI chat on per visitor group, and drafts cited first answers to bidder questions that the team approves before publishing.

I'm Deqian Jia, co-founder of Peony, a data room company. One tool on this page is ours, and I flag it every time it comes up. We build the room where deal documents meet the people reading them, and the question that decides everything else is not "which AI is best" but "which AI am I allowed to use on these files". This guide answers that one first.

A quick disambiguation: this page is about using AI to run diligence on any target. If you are diligencing an AI company (its models, training data and EU AI Act exposure), read AI due diligence: what to check before you buy instead.

How I checked: every capability below was verified against a public source dated October 2025 or later: vendor announcements, trade press, newswire copies, Vendr and law-firm guidance. Vendor sites are named but not linked. Where a vendor publishes no price, I say so rather than guess. Prices are as of October 29, 2026.

Which AI due diligence tools can actually review a data room?

Fifteen tools cover most of the field for data room review in 2026, and the useful way to sort them is by where they read the documents: inside the room, outside it on files the seller allowed out, or in a general-purpose chat window. The table below is the short version; each tier has its own section further down.

The pattern most lists miss: the best tool on paper is often the one you can't legally point at the room. A legal AI platform that reads 10,000 contracts is no use to a bidder whose NDA bars outside systems, and no use at all when downloads are off.

Why does it matter where the documents are allowed to go?

Because sell-side data rooms are built to keep documents in, and NDAs limit who may see them, the first question in AI due diligence is which AI is allowed to read the files, not which AI is smartest. Get that wrong and the fastest review in the world becomes a confidentiality breach.

On the seller's side, the controls are standard: view-only access for bidders, downloads off, dynamic watermarks with the viewer's name on every page, screenshot protection and an NDA gate before the first file opens. In Peony's State of M&A Data Rooms dataset, 62% of rooms were NDA-gated across 733 M&A transactions from $1M to $500M (State of M&A Data Rooms, Q3 2026). When downloads are off, there is nothing to export: the only AI a bidder can use on the documents is AI the room itself provides.

The volume is why buyers want AI at all. The same dataset puts a sub-$50M deal room at about 1,206 files, 29 users and 79 Q&A questions, with a median of 5.5 bidders per room. Reading 1,206 files by hand across a three-week confirmatory window is the job AI is meant to shrink. Adoption is already mainstream: in Deloitte's survey of 1,000 senior corporate and PE leaders, 86% of organizations had integrated generative AI into their M&A workflows, and 35% of those adopters used it for due diligence (Deloitte, October 2025).

What do NDAs say about uploading to AI tools?

Most M&A NDAs were not written with AI in mind, but their standard terms still bite. A typical confidentiality agreement limits disclosure to the recipient's Representatives (directors, employees, lenders, legal and financial advisers) and limits use to evaluating the transaction. An AI vendor is not obviously on that list. As Kohrman Jackson Krantz put it in March 2026, "An AI platform provider may not qualify as a permitted representative under the NDA" (KJK).

The silence cuts against the uploader, not for them. DarrowEverett's Chad Gottlieb, writing in the National Law Review in June 2026, notes that NDA obligations "typically restrict disclosure to 'third parties' or limit use to a defined 'purpose'", and concludes: "Even if an NDA is silent on AI, this act may constitute a breach" (National Law Review). Baker Donelson's guidance, summarised by DealLawyers.com in August 2026, makes the data room point directly: uploading a target's data room contents into a third-party AI tool may be a disclosure to a third party that breaches the NDA, especially where the vendor can train on inputs (DealLawyers.com).

Newer NDAs are filling the gap, in one of two directions:

So the honest answer to "can I use my AI on this room?" is often, not always, "not without asking". The safest default is the AI that runs inside the environment both sides already agreed to use.

Do connectors solve the NDA problem?

Connectors solve the download problem, not the NDA problem. Between April and October 2026 the large VDRs opened permission-preserving pipes into outside AI. Datasite's MCP server connects Claude, ChatGPT, Microsoft Copilot and Blueflame AI to live deal content while "strictly enforcing permission controls and audit logging" (MarTech360, April 2026). Datasite Connect, which Datasite says will be available from November 4, 2026, is designed to let authorized users connect "an organization-approved third-party or proprietary AI assistant to live deal content" (Datasite release via Yahoo Finance, October 2026). Ansarada's Legora import records each imported document in Ansarada's audit trail under the user's name (IT Brief, October 2026).

These are good designs: the room's permissions travel with the file and the seller can see what moved. But a copy of the document still lands in a vendor workspace the NDA may not name, which is why DealLawyers.com recommends addressing permitted AI use expressly in the NDA and the data room rules. A connector tells you the seller's platform allows it; only the NDA tells you the seller's lawyers do. For the security design questions behind connectors, see should you connect ChatGPT to your data room.

What is the Inside-or-Outside the Room Matrix?

The Inside-or-Outside the Room Matrix is a way to pick an AI due diligence tool by first asking where the documents are allowed to go, then matching the job to the tier. It has three tiers: AI inside the room, which the seller controls; AI outside the room on files the seller lets out, which the buyer's firm picks; and general-purpose LLM chat, which each user controls.

How do you use the decision ladder?

Answer four questions in order and stop at the first "no":

1. Has the seller switched on AI for your bidder group? If yes, start inside the room and work from cited answers. It is the only tier with no NDA question attached.
2. Can the files leave, by download or by a connector the seller allows? If no, stay inside the room. A view-only room means no outside AI, full stop.
3. Does the NDA allow your AI vendor as a Representative or service provider? If it is unclear, ask the seller in writing before uploading anything. A one-line email confirming "Harvey on our enterprise tenant is acceptable" is worth more than any vendor's security page.
4. Is the tool an approved enterprise account with no training and a data processing agreement? If yes, use legal or financial AI on the exported set. If the only option is a personal chatbot account, don't.

Most buyers end up using two tiers at once: in-room AI to find and cite, then an outside tool on the subset of contracts the seller released for download.

Which data rooms have built-in AI for due diligence?

Among the data rooms buyers meet most often, five ship AI that reads documents inside the room in 2026: Datasite, Ansarada, SS&C Intralinks, iDeals and Peony. All five keep the files in place and apply the room's permissions; they differ on whether the seller can switch AI on per bidder group, whether answers cite pages, and whether the room also pipes files out to outside AI.

Datasite: Reviewer, Blueflame AI and Datasite Connect

Datasite has the widest AI stack of the enterprise rooms. Datasite Reviewer, which Datasite profiled in October 2026, is the workspace for the reviewing side: Datasite says it "helps buyers, investors, and advisors find, review, and validate deal information more efficiently", with summarise, translate and explain tools, and Blueflame AI, the company Datasite acquired in 2025, adds citation-backed answers. On the sell side, Datasite lists Redaction AI, translation across 17+ languages and an AI-generated folder structure from a deal prompt.

Datasite is also the most connected room. Beyond its MCP server and the scheduled Datasite Connect, it has partner integrations with Harvey, whose deal tools now reach "approved transaction data" with Datasite's "existing permission settings" applied inside Harvey (IT Brief, June 2026), with Legora (FinTech Global, May 2026), with Rogo and with Hebbia. Datasite publishes no prices; Vendr's buyer data puts the average contract at $68,121 a year (Vendr). For a deeper cost breakdown, see our Datasite pricing guide.

Ansarada: AiDA and the Legora import

Ansarada, which Datasite acquired in 2024, runs an in-room assistant called AiDA. It answers questions about documents, permissions, activity and Q&A, can "use earlier information to support response drafting", produces PDF summaries and extracts "parties, dates and monetary values", with answers "shaped by their existing room access and team permissions" (IT Brief, July 2026). Ansarada says AiDA is available in enabled Deals and Procure rooms, and that permitted guests get 100 free tokens in an enabled room, so usage is metered.

For outside AI, Ansarada launched a Legora integration in October 2026 that lets Legora users import files or folders from an Ansarada room into a Legora project; it is "in beta for Legora customers with access to an Ansarada room" (IT Brief, October 2026). Under its April 2026 Harvey partnership, joint customers will be able to export documents into Harvey "when Sell-side permission is granted", per the companies' announcement. That phrase is the whole framework in four words: the seller decides whether files go outside.

Ansarada's own October 2026 essay, "AI is winning the data room but the relationship is still yours", argues that AI now handles document review well while risk judgement and advice stay human: "The memo is table stakes. The judgement is the product." I agree, and it is the right lens for everything below.

SS&C Intralinks: DealCentre AI and DealCentre Connect

Intralinks' DealCentre AI runs on its own engine, which it calls Link. Intralinks lists document summaries, translation, bulk PII redaction, aggregation of duplicate buyer questions, suggested responses to buyer questions, and AI responses to bulk-uploaded buyer questions "complete with source citations". DealCentre Connect, its connector layer, names Claude, Harvey, Hebbia, Legora, Rogo and others and promises to "maintain data room permissions, governance and auditability across all AI interactions". Rogo announced its Intralinks integration in June 2026. I found no independent coverage of DealCentre AI's native features, so treat them as vendor-described. Pricing is by quote; see our Intralinks pricing guide.

iDeals: in-room AI and an MCP connector

iDeals lists PII redaction, AI translation, meaning-based search and "instant answers with page references to verify AI accuracy", and says admins can turn AI off per project. Its MCP connector, launched in 2026, connects Claude, ChatGPT and Copilot to a room for buy-side tasks such as searching and summarising documents, mapping them against a due diligence checklist, drafting questions and compiling red flags, and iDeals says "The AI works within your existing permissions, with every action captured in a full audit trail." Both sources are iDeals' own; I found no third-party coverage. Pricing is by quote.

How does Peony's AI review a data room?

Peony's AI reads the room in place. On every paid plan from Business ($30 per admin per month billed yearly), anyone the seller allows can ask questions across every document in the room and get answers with page-level citations, and no file has to leave the room for that to happen. I run Peony, so weigh this section accordingly; plans and prices are on our pricing page.

Here is what that means for each side of a deal:

Two design choices matter for the framework. First, the per-visitor-group switch puts tier 1 under the seller's control: you can open AI chat to the two shortlisted bidders in confirmatory diligence and keep it off for the first-round group. Second, document content is not used to train any model, so the AI is part of the same environment the NDA already covers rather than a new recipient.

On price, the Data Room plan is $52 per admin per month billed yearly and Deal Team is $64 (minimum 4 admins); viewers are unlimited and free on every plan. A three-admin sell-side team on Data Room pays $1,872 a year, against a $68,121 average Datasite contract in Vendr's data. 8,000+ customers in 60+ countries use Peony.

Where Peony stops: Peony's AI answers from the room's documents. It is not a contract-analytics platform like Kira or Luminance, and large legal teams reviewing exported contract sets at scale will still want one. And on deals above $500M, or where the bank and buyers' counsel already standardise on Datasite or Intralinks, run the room there; their connector ecosystems are a real advantage for buyers. Start now

Which legal AI tools do due diligence contract review?

Four legal AI platforms dominate contract review in M&A diligence: Harvey, Legora, Luminance and Kira. All four are strong at reading contracts at scale and all four sit outside the data room, so each needs the files to reach it by export or connector, and the NDA to allow it.

Harvey is the broadest of the four: a legal AI platform with assistant, vault and workflow tools, now connected to the two largest data rooms. Its Datasite link brings "approved transaction data" into Harvey with Datasite permissions applied (IT Brief, June 2026). Choose it when your firm already runs Harvey across practice areas.

Legora is Harvey's closest rival and, like Harvey, connects to Datasite, Intralinks and Ansarada rooms. Its Ansarada beta lets users "summarise documents, extract key terms, compare files side by side" on imported data room files (IT Brief, October 2026), and its Datasite integration is used, in its CEO's words, "to conduct due diligence, legal analysis, and drafting" (FinTech Global, May 2026).

Luminance started as M&A due diligence software and in November 2025 moved from three product lenses (Corporate, Diligence and Discovery) to "a single unified platform"; it reports more than 1,000 customer organizations in 70 countries and prices by quote (Contrary Research, June 2026). I found no current data room connector, so plan on exporting files to it.

Kira, now part of Litera, is the specialist extractor. It "combines generative AI with proprietary models trained on more than 1 million legal contracts" (IT Brief UK, January 2026), and Litera's 2026 roadmap adds Grid Chat for natural-language questions across review data (Artificial Lawyer, January 2026). Litera says Kira ships with more than 1,400 pre-built smart fields, plus fields you train yourself. It is the tool to beat when the job is "find every change-of-control clause in 900 customer contracts".

For the legal workstream these tools serve, see our legal due diligence guide.

Which financial AI tools work on data room documents?

Three finance-focused AI platforms now read data room documents: Hebbia and Rogo do diligence directly, and AlphaSense adds market context to what the room says. Like legal AI, they sit outside the room and reach it through connectors or uploads.

Hebbia connects to Datasite so shared customers can "analyze live content in Datasite data rooms from within Hebbia platform" without downloading and re-uploading files; the integration is "available to Hebbia customers with active Datasite projects" (TechIntelPro, October 2026). Per the announcement, it answers diligence questions with links back to source documents, identifies risks and value drivers, and creates deal materials such as investment committee memos.

Rogo is built for bankers and investors. Its Felix agent covers work "spanning deal screening, CIM generation, buyer outreach and data room diligence", and Rogo raised a $160m Series D led by Kleiner Perkins in April 2026 (FinTech Global). Its Datasite integration lets approved users "query a full project, a folder or a single document without exporting files" (IT Brief UK, September 2026), and it has an Intralinks connector too.

AlphaSense is mainly market and expert-call research, but since March 2026 it has offered due diligence workspaces aimed at "deal teams reviewing virtual data rooms", where users can "import large volumes of VDR documents" and analyse them alongside market data (IT Brief UK, March 2026). Use it to test the CIM's market claims, not to extract clauses. Vendr reports AlphaSense contracts from $10,000 to $51,000 a year, with a median of $18,750 across 41 purchases (Vendr).

None of the three replaces the analyst who ties the quality of earnings report to the management accounts in a model. What they do well is find and cite the figures that go into it. For the workstream itself, see our financial due diligence guide.

Can you use ChatGPT, Claude or Copilot on data room documents?

Only on enterprise accounts, only on files the seller let out, and only if the NDA allows it. The business tiers of all three major assistants don't train on your content by default; the consumer tiers are a different story, and the NDA question is the same either way.

Two cautions apply even on enterprise tiers. Retention is not fully in your hands: a federal court ordered OpenAI to preserve ChatGPT logs in its copyright litigation, and although the blanket preservation duty ended in October 2025, logs already preserved stayed preserved (Engadget, October 2025). And "no training" answers the vendor question, not the NDA question: an NDA that limits disclosure to Representatives is not satisfied by a vendor's training policy.

My rule of thumb: use general chat for your own notes, public filings and the cited excerpts you have already pulled out, and never for the counterparty's raw documents unless the NDA expressly permits that tool. For the full security comparison of connecting a chatbot to a room, see should you connect ChatGPT to your data room.

Which AI tool fits which diligence job?

Match the tier to the job, not the brand to the deal. In-room AI wins anything that needs a citation back to the room or touches bidder Q&A; legal AI wins clause extraction at volume; finance AI wins CIM and model work; general chat wins your own writing.

Should a seller let bidders use AI on the data room?

Yes, if the AI runs inside the room and you decide who gets it. In-room AI lets bidders answer their own questions from the documents you chose to disclose, without a single file leaving, and the alternative is not "no AI": it is bidders quietly pasting your documents into tools you can't see.

A sensible seller's policy has four parts:

1. Switch in-room AI on by bidder group, not for everyone. In Peony that is a per-visitor-group setting; open it for the shortlist in confirmatory diligence and keep it off for early-round bidders if you prefer.
2. Keep downloads off by default and release specific folders for download only when a bidder's counsel needs them for a legal AI review.
3. Write the AI rule into the NDA. Either prohibit input into AI systems without consent, as in Haynes Boone's sample clause, or carve out named enterprise tools with no training. Silence leaves both sides guessing.
4. Use AI on your own side of the Q&A. A sub-$50M room fields about 79 questions (State of M&A Data Rooms); AI-drafted, cited first answers that your team approves before publishing cut the drafting work without letting an unreviewed answer reach a bidder. See our data room Q&A guide for the workflow.

If you are choosing the platform itself, our ranking of the best AI data rooms for M&A compares the AI tiers platform by platform, and the M&A data room guide covers structure and staged access.

What does an AI-powered due diligence checklist for a data room look like?

An AI-powered due diligence checklist pairs the document request list with a plan for which AI may touch which documents, in what order. Use our due diligence data room checklist for the 174 documents themselves, then run this nine-step review on top.

For PE buyers specifically, our guide to the best data rooms for private equity covers how sponsors run confirmatory diligence across several bidders.

How much do AI due diligence tools cost?

AI due diligence tools cost what the person paying for them can see: sellers pay for in-room AI inside the data room subscription, and buyers pay for outside AI through enterprise contracts or per-seat licenses. Most outside tools publish no price at all.

The cost question that matters is who carries it. When AI lives in the room, one seller subscription covers every bidder the seller switches it on for, and bidders pay nothing extra. When AI lives outside, each buyer pays for its own platform, and only buyers with an enterprise contract get the benefit.

Can you trust AI due diligence answers?

Trust the citation, not the sentence. Every AI on this page can produce a fluent, wrong answer, so the useful test is whether the tool shows the exact page it relied on and whether someone opens that page before the finding counts.

Three habits make AI review defensible:

• Prefer cited answers. Peony, Datasite's Blueflame answers, Intralinks' suggested answers and iDeals' page references all point back to source. An answer without a citation is a lead, not a finding.
• Keep a human gate on anything that leaves your team. On the seller's side, AI-drafted Q&A answers in Peony reach a bidder only after the team publishes them. On the buyer's side, nothing goes into an IC memo or disclosure schedule without a person opening the cited page.
• Know your professional duties. For deal lawyers, ABA Formal Opinion 512 (July 2024) says a lawyer needs the client's informed consent before entering information relating to the representation into a self-learning generative AI tool, and boilerplate in an engagement letter is not enough.

That last point applies to the counterparty's documents too: a self-learning consumer tool is the worst place for them on every axis at once.

When is data room AI not enough?

Data room AI is not enough when the job is extraction at volume, when the deal is large enough that counterparties dictate the platform, or when the answer needs analysis the documents don't contain. Be honest about which of those you are facing.

• Contract analytics at scale. Peony's AI answers from the room's documents. It is not a contract-analytics platform like Kira or Luminance, and large legal teams reviewing exported contract sets at scale will still want one.
• Large or bank-run deals. Above about $500M, or where the bank and buyers' counsel already standardise on Datasite or Intralinks, the room usually runs there, and buyers benefit from those platforms' connectors to Harvey, Legora, Rogo and Hebbia.
• Judgement. No tool decides whether a change-of-control clause is a price point or a walk-away item. As Ansarada's essay puts it, "The judgement is the product."

For everything else, which on a mid-market deal is most of the reading, start inside the room. Start now

FAQ

Which AI tools are best for reviewing data rooms during M&A due diligence?

It depends on where the documents are allowed to go. If the seller has switched on AI inside the room, start there: Datasite, Ansarada, Intralinks, iDeals and Peony all answer questions across the room while the files stay put, and Peony gives answers with page-level citations from its Business plan at $30 per admin per month billed yearly. If the seller lets files out by download or a permissioned connector, legal AI such as Harvey, Legora, Luminance or Kira goes deeper on contracts, and Hebbia or Rogo on financial materials. General chat tools come last, and only on enterprise accounts.

Which AI platforms integrate with data rooms for private equity due diligence?

Most 2026 integrations run from the large VDRs outward. Datasite connects to Harvey, Legora, Rogo and Hebbia and runs an MCP server for Claude, ChatGPT, Copilot and Blueflame AI; Intralinks lists Claude, Harvey, Hebbia, Legora and Rogo as DealCentre Connect partners; Ansarada has a Legora import in beta and an announced Harvey export that needs sell-side permission; iDeals has an MCP connector for Claude, ChatGPT and Copilot. Room permissions carry into these connectors, but the NDA still has to allow the AI vendor. In a Peony room, bidders use the room's own AI document Q&A, which the seller switches on per visitor group.

What is the best virtual data room for private equity due diligence with AI document review?

For most mid-market PE deals, Peony is the practical pick when you run the room: AI document Q&A with page-level citations on every paid plan, AI chat switched on or off per visitor group so bidders can interrogate documents without downloading them, and AI-drafted, cited first answers to bidder questions that your team reviews before anything is published. The Data Room plan is $52 per admin per month billed yearly, and viewers are free. Datasite or Intralinks fit deals above $500M or where the bank already standardises on them. For the full platform comparison, see our AI data room ranking.

Can I upload data room documents to ChatGPT or Claude during due diligence?

Only if three things line up: the seller lets the files out, the NDA allows the AI vendor, and you use an enterprise account. In a view-only room the practical answer is no. Many NDAs limit disclosure to named Representatives or to evaluating the deal, and one law-firm analysis notes that even an NDA silent on AI may be breached by uploading. ChatGPT Business and Enterprise and Claude Team and Enterprise don't train on business content by default; Claude Free, Pro and Max train unless you opt out. Ask the seller in writing, or use the room's own AI.

Does uploading confidential deal documents to an AI tool breach the NDA?

It can. NDAs typically restrict disclosure to third parties or limit use to evaluating the transaction, and an AI platform provider may not qualify as a permitted Representative. Baker Donelson guidance summarised by DealLawyers.com in August 2026 says uploading a target's data room into a third-party AI tool may be a disclosure that breaches the NDA, especially if the vendor can train on inputs. Newer NDAs add AI clauses that either ban input into AI systems without written consent or carve out enterprise tools that don't train. Read your clause before you upload anything.

I'm the seller: should I let bidders use AI on my data room?

Yes, but inside the room and on your terms. In-room AI lets bidders find answers themselves instead of filing a question for each one, and no file leaves the room. In Peony you switch AI chat on or off per visitor group, so you can allow it for shortlisted bidders and not for early-round ones, and on the Data Room plan the AI drafts a cited first answer to each bidder question that your team edits before publishing. Keep downloads off and add a clause to the NDA naming which AI tools, if any, may receive exported files.

Harvey vs Kira vs Luminance: which is best for M&A due diligence contract review?

They do different jobs. Kira, now part of Litera, is the specialist for extracting clauses from large exported contract sets, combining generative AI with models trained on more than 1 million legal contracts. Luminance began as M&A due diligence software and now sells one platform that flags anomalies, with quote-based pricing. Harvey is a broader legal AI platform that runs review tables across a vault of documents and can pull approved files from Datasite and Intralinks rooms. All three work outside the room, so each needs the seller to let the files out and the NDA to allow the vendor.

What is Datasite Reviewer, and does it use AI?

Datasite Reviewer is Datasite's workspace for the reviewing side of a deal: buyers, investors and their advisors. Datasite says it includes AI tools to summarise, translate and explain documents, and that Blueflame AI, which Datasite acquired in 2025, adds citation-backed answers grounded in permissioned deal content. It lives inside the Datasite room, so you only get it when the seller runs the deal on Datasite. Datasite publishes no separate price; its contracts average about $68,000 a year, according to Vendr.

Where can I get an AI-powered due diligence checklist for M&A in a virtual data room?

Pair a document list with an AI review plan. Start with our due diligence data room checklist, which covers 174 documents across 10 categories, then run the nine-step AI review checklist on this page: confirm what the NDA allows, ask the room's AI which requested items are missing, sweep each workstream for red flags with cited answers, extract clauses only from permitted exports, and check every cited page before it reaches the memo. In a Peony room, AI document Q&A with page-level citations is on every paid plan from $30 per admin per month billed yearly.

Can AI due diligence answers be trusted, or do they hallucinate?

Trust the citation, not the sentence. Any tool on this list can produce a confident wrong answer, so use tools that cite the exact page and check that page before anything goes into a memo, a disclosure schedule or a reply to a bidder. Deal lawyers carry an extra duty: ABA Formal Opinion 512 says a lawyer needs the client's informed consent before entering information about the representation into a self-learning generative AI tool. Peony's answers come from the room's own documents with page-level citations, and AI-drafted Q&A answers reach a bidder only after your team publishes them.

How much do AI due diligence tools cost?

It depends on who pays. In-room AI is paid by the seller inside the room subscription: Peony's AI document Q&A starts on Business at $30 per admin per month billed yearly, with Data Room at $52 and Deal Team at $64, while Datasite contracts average about $68,000 a year, according to Vendr. Outside tools are paid by the buyer: Harvey, Legora, Luminance, Kira, Hebbia and Rogo sell by quote, and Vendr puts AlphaSense at a median $18,750 a year. General chat seats list at $20 per user per month billed yearly for ChatGPT Business and Claude Team, and $30 for Microsoft 365 Copilot.

Which data room lets bidders ask questions of the documents with AI and get cited answers?

Peony does, if the seller allows it. Its AI document Q&A answers questions across every document in the room with page-level citations, so a bidder can interrogate the documents without downloading them. It starts on Business at $30 per admin per month billed yearly; on Data Room, at $52 with 5x the AI usage, the seller turns AI chat on or off for each bidder group. Datasite and Intralinks also put AI inside their rooms. Whichever platform you use, open the cited page before you rely on an answer.

Related Resources

• Best AI Data Rooms in 2026: which AI data room a seller should pick, platform by platform
• Should You Connect ChatGPT to Your Data Room?: training, hallucination, scope and audit when an outside LLM meets confidential documents
• AI Due Diligence: What to Check Before You Buy: diligencing an AI company, a different job from using AI to run diligence
• M&A Data Room Guide: folder structure, staged access and Q&A from the sell-side chair
• Best Data Rooms for Private Equity: rooms compared for sponsor-led diligence
• Due Diligence Data Room Checklist: 174 documents across 10 categories, staged by deal phase
• Data Room Q&A: how to run bidder questions inside the room
• Legal Due Diligence: the legal workstream that contract AI serves
• Financial Due Diligence: the financial workstream and where tie-outs happen
• State of M&A Data Rooms: our dataset of 733 M&A transactions from $1M to $500M