AI reduced our legal due diligence time by 78%. Here's what that actually means for investors
The marketing version of "AI in private markets" is about speed and efficiency. The actual version is more specific and more useful: AI has materially reduced the cost of running rigorous due diligence on private market deals, and that saving flows directly into deal timelines and fee structures. Here's what we actually do and what it actually means.
The AI doesn't make judgment calls. It does the work that used to require a room full of junior lawyers — and it does it overnight, without billing by the hour.
What due diligence on a private credit deal actually involves
Before a private credit deal lists on the platform, it goes through legal due diligence covering: the loan agreement and all ancillary documents, the security structure (deed of trust, pledge agreements, guarantee arrangements), the borrower's corporate structure and cap table, compliance checks against OFAC, local sanctions lists, and platform eligibility criteria, financial statement review against the representations in the offer documents, and jurisdiction-specific regulatory requirements for the deal structure.
In a traditional law firm engagement, this takes approximately 280–320 attorney-hours per deal — call it 300 hours as a working figure. At standard rates for the jurisdictions involved, this is a material cost that gets passed to investors either directly in fees or indirectly in reduced yield.
What changes with AI
We run AI-assisted document review across all deal documentation. The system flags anomalies between the loan agreement and the security documents, identifies missing representations, checks compliance against our standard criteria, and produces a structured output that our in-house counsel reviews and validates. The AI produces the first-pass analysis overnight. Our team reviews, challenges, and finalises in a fraction of the time previously required.
Outcome: approximately 60–65 hours of attorney time per deal. A reduction of roughly 78% from the traditional process.
What the AI cannot do: make the final judgment call on deal quality, assess management credibility, or evaluate whether a borrower's business model is sound. Those decisions still sit with our underwriting team. The AI handles the mechanical work of cross-referencing documents, checking compliance criteria, and flagging exceptions. The underwriter handles the judgment. That boundary is intentional and important — collapsing it in the name of efficiency would compromise the deal quality that the platform's track record depends on.
Where the saving goes
It does not go to margin. It goes into three places: faster deal timelines (a deal that previously took 8–10 weeks to go from term sheet to listing now completes in 3–4 weeks), a lower platform fee structure than traditional placement agents, and capacity to process more deals in parallel without proportionally increasing headcount.
For investors: faster access to deals after term sheet, a fee structure that reflects the actual cost base, and a deal pipeline that isn't bottlenecked by legal bandwidth. For the platform: the ability to operate at scale without the cost base of a traditional investment bank.
The honest limitation
AI-assisted due diligence reduces cost and time for the mechanical layer of deal review. It does not replace the judgment layer. Any platform that tells you AI eliminates due diligence risk is either confused about what due diligence does or selling you something. What it eliminates is the unnecessary cost of doing the mechanical work slowly and manually.
This article reflects Oper8 Capital's internal operational practices. Figures cited (300 hours / 60 hours) are based on the platform's own deal experience and internal benchmarks, not third-party data. This is not investment advice.