The Bain 2023 Due Diligence M&A Report, based on Bain's analysis of 346 large transactions, found that 14% of transactions are canceled due to antitrust regulations, and almost 60% of executives blame failed deals on poor diligence. For CFOs inside a transaction window, terminology discipline is a governance artifact, not a wordsmithing exercise.
In brief: The Bain 2023 Due Diligence M&A Report, based on Bain's analysis of 346 large transactions, found 14% canceled on antitrust grounds, with almost 60% of executives blaming deal failure on poor diligence. Terminology inconsistency across policies, disclosures, and operational records is a recurring symptom of the governance gaps buyers price into the multiple. A four-eyes, audit-trailed glossary is a tangible control artifact for the VDR on sell-side and a measurable risk signal on buy-side.
The base rates are not encouraging. The Bain 2023 Due Diligence M&A Report, based on Bain's analysis of 346 large transactions, found that 14% of transactions are canceled due to antitrust regulations. Bain is blunter on the human factor:
Bain's 2023 report found that almost 60% of executives attributed deal failure to poor due diligence that did not identify critical issues. Bain & Company, Due Diligence M&A Report, 2023
The picture is not "bad luck." It is a pattern in which the target's pre-deal documents — policies, risk registers, regulatory filings, board minutes — do not agree with themselves. A single term like "high-risk AI system", "material incident", or "personal data breach" can mean three different things in three different VDR artifacts. Once a diligence team starts pulling at inconsistent definitions, the work expands from the term into the controls behind it.
M&A diligence lands on the CFO more directly than on any other executive. The CFO signs the reps and warranties, owns the VDR, faces the buyer's quality-of-earnings team, and defends the number on the closing call. A buyer who finds terminology inconsistency walks it back into a purchase-price reduction, and the CFO takes the hit: on credibility with the board, on variance explanation to the audit committee, and on any earn-out or equity priced off the exit multiple. A post-close "clean sweep" of the finance function is the personal risk.
14% kill rate on antitrust and regulatory. Multiple-compression on discovery of definitional drift across policies, filings, and operational records. The gate is real and early.
A VDR-ready terminology artifact: four-eyes approval, version history, timestamps, named approvers. Not a wiki page. A control the buyer can verify in minutes.
A defensible valuation at exit. Clean terminology governance supports a tighter diligence cycle, fewer Q&A rounds, less price chipping, and a credible integration story for the buyer's board.
For current pricing, see the Atlassian Marketplace.
A modern VDR is no longer a document dump. Modern buyers increasingly ask for evidence of governance, not just its output. That rewards sellers who present control artifacts — access reviews, change logs, policy approvals, and the approval trail behind key definitions.
Compliance Glossary sits inside that shift. It is Forge-native, runs entirely inside the customer's Atlassian tenant, and produces what a diligence team will recognize as evidence — with a use on each side of the table:
None of this removes the need for counsel or quality of earnings. It does answer the buyer question — "how do you govern the words in your filings?" — with a verifiable artifact rather than a narrative.
On the other side of the table, the same tooling is a diagnostic. When a buyer's diligence team finds the same regulatory term defined three different ways across policies, operational records, and customer-facing commitments, that is an input into the integration cost line and, often, into the price itself.
Two practical uses on buy-side:
Compliance Glossary does not replace counsel, quality-of-earnings, or regulatory diligence. It is a narrow tool that makes the definitions of regulated terms in a Confluence stack auditable, versioned, and controlled — producing the four-eyes approval, version history, audit trail, scanner reports, and CSV exports (with full version history) described above in a form diligence teams recognize as evidence. PDF audit-package export is on the 2026 roadmap.
For current pricing, see the Atlassian Marketplace.
The Bain 2023 Due Diligence M&A Report, based on Bain's analysis of 346 large transactions, found that 14% of transactions are canceled due to antitrust regulations, and almost 60% of executives attributed deal failure to poor due diligence that did not identify critical issues. Terminology inconsistency between policies, disclosures, and operational records is a recurring symptom of the governance gaps buyers price in.
The VDR rewards control artifacts that are verifiable on demand. A four-eyes-approved, version-history-backed, audit-trailed glossary of regulatory and operational terms is a tangible governance control the seller can drop into the data room alongside policies and SOC 2 evidence. It supports a cleaner Q&A phase and reduces buyer-side discovery of definitional drift.
On buy-side, the absence of consistent terminology in the target's documentation is a quantifiable integration risk. Reviewers can measure how often key regulatory terms appear inconsistently across policies, contracts, and operational records. That gap translates to remediation cost, extended post-close integration, and in some cases a multiple-compression negotiation lever.
For current pricing, see the Atlassian Marketplace.
For current pricing, see the Atlassian Marketplace.
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