The NDA Bottleneck: Why Contract Automation Matters More Than Most Firms Realise
The average NDA takes 5 days to execute. In a competitive sale process with 20 potential buyers, that's weeks of compressible delay — before you've shared a single document.
Verdalyze
16 December 2025
Every sell-side process starts with NDAs. Before a single page of the confidential information memorandum is shared, before a management presentation is scheduled, before any serious dialogue begins — every prospective buyer signs an NDA. In a competitive process with a broad buyer universe, that means 15, 20, or 30 NDAs to manage, track, negotiate, and file.
The 2025 Contracting Benchmark Report puts the average NDA execution time at five days. That number sounds modest until you consider that it's five days per counterparty, that many of those NDAs come back with redlines, and that the advisory team is responsible for tracking every version, chasing every signature, and logging every executed agreement. In a boutique firm without a dedicated legal operations function, this work falls on the same people running the deal.
The administrative load nobody talks about
Industry data suggests that 41 percent of in-house legal professionals cite spending too much time on administrative tasks as a core problem affecting their productivity. For boutique advisory firms, there is no in-house legal team — the burden sits with deal professionals who have more valuable things to do. NDA management is the archetype of high-frequency, low-value work that consumes hours across a process without contributing to deal outcomes.
The cost is visible in two ways. First, in raw time: chasing signatures, sending reminders, filing executed agreements, cross-referencing NDA terms against information shared with each buyer. Second, in process risk: an NDA that was never properly executed, a signature page that didn't get filed, a buyer who received documents before their agreement was confirmed. These aren't hypotheticals — they're the kind of post-process compliance issues that create liability.
What NDA automation actually does
Platforms like Ontra, built specifically for private equity and advisory NDA management, automate the entire workflow: document generation from pre-approved templates, automated distribution and tracking, counterparty redline management, e-signature integration, and centralised storage with full audit trails. The result is a process where NDA status across an entire buyer universe is visible in a single dashboard, follow-up reminders trigger automatically, and executed agreements are filed without manual intervention.
When NDA management is automated, the advisory team's attention goes to what actually moves a deal — not to chasing a signature page from a buyer's legal team.
The standardisation argument
One of the underappreciated benefits of NDA automation is the discipline it enforces on document standardisation. Firms using automated NDA workflows typically work from a small number of pre-approved templates with defined fallback positions for common redlines. This reduces negotiation time (because the advisory team isn't reinventing positions on each deal), reduces legal risk (because the templates have been reviewed), and accelerates execution because counterparty counsel recognises a clean, standard agreement.
For boutique advisory firms handling multiple concurrent processes, NDA standardisation is also a consistency mechanism — ensuring that agreements signed in one mandate contain the same protections and obligations as those in another, and that the firm isn't exposed to inconsistent terms across its book of business.
The practical path
The starting point for most boutique firms isn't a dedicated NDA automation platform — it's a disciplined template library and a tracking system. A single, firm-approved NDA template (short-form and long-form), a defined redline policy, and a simple tracker that logs status by counterparty is already a significant improvement over ad hoc management. From there, e-signature integration and centralised storage are low-cost additions that eliminate the most error-prone manual steps.
Source: Private Equity NDA Management with AI — Ontra.