
Legal & compliance teams carry critical enterprise knowledge, distilling the rules, interpretations, and judgments that determine how the business operates. While this expertise is essential, it has always been difficult to scale, trapped in the minds of a select few and scattered across files, teams, and business units.
At Norm Ai, our mission is to make legal and compliance advice abundant. And given the strategic weight of that expertise, abundance can’t just come from automation. It requires technology capable of encoding judgment, enforcing consistency, and scaling regulatory intelligence across the enterprise, without losing the nuance that makes that intelligence trustworthy.
That belief shaped how we built the Norm Ai platform from the beginning. Through our Legal Engineering discipline, we translate policies, controls, and regulatory frameworks into AI agents that can reason with precision. These agents serve as building blocks capable of powering legal & compliance workflows across the enterprise, reasoning with the depth, consistency, and explainability regulated teams depend on.
Over time, they’ve become core infrastructure inside our clients’ organizations. What began with regulated content review and disclosures expanded quickly. Teams turned to the platform whenever accuracy needed to keep up with scale, or when institutional knowledge needed to be preserved instead of reinvented. In that expansion, one workflow stood out.
DDQs and RFPs expose the breaking points of traditional processes. They force firms to demonstrate how they govern, how they protect investors, how they manage risk, and how they adhere to regulations. In many firms, the accuracy of a DDQ tells investors more about their governance than any pitch deck ever will. If institutional knowledge can’t keep pace with institutional demand, it shows up here first, which makes these questionnaires an inevitable next step for the Norm Ai platform.
Today, we’re introducing Norm Ai’s DDQ & RFP Completion solution, a unified system that understands each question, verifies every answer against approved sources, and preserves institutional memory with full transparency.
Often, the knowledge required to answer DDQs and RFPs exists everywhere and nowhere at once. Even when firms have the right information, they can’t deploy it quickly or consistently. And because the work touches product, compliance, risk, operations, and senior leaders who must manually review every line, the process slows under its own weight.
Norm Ai replaces that friction with a unified system built for accuracy and reuse. Approved answers, fund documents, policies, and historical questionnaires all live in a versioned repository that strengthens with every cycle. AI agents draw on this knowledge to generate first-pass responses in minutes. Each answer is cited, explainable, and tied to firm-approved facts, so reviewers begin from clarity rather than a blank page.

Because accuracy matters as much as speed, Norm weighs the most authoritative source for each response, whether it’s the Answer Bank, supporting materials, or a prior DDQ. Where possible, answers reflect the original language verbatim, addressing the drift and inconsistency that frustrate firms evaluating today’s AI tools. As reviewers approve or adjust responses, Norm learns from those decisions, capturing firm judgment as precedent and applying it automatically to future questionnaires.
A customized intake form captures context, metadata, and supporting materials such as PPMs, policies, and fund documentation. Linked Submissions allow teams to bring forward prior approved questionnaires as a verified source of truth, ensuring consistency across cycles without manual reconstruction.
Norm Ai identifies every question, including those embedded in tables, and interprets its meaning to match it to the right source. Exact matches are inserted verbatim. Partial matches are drafted with citations. Gaps are surfaced for reviewer attention with clear reasoning behind each flag. Unlike generic or bolted-on AI tools built for broad text generation, Norm Ai agents produce responses grounded entirely in firm-approved facts.
Reviewers see exactly where each response came from, with jump-to-excerpt navigation into supporting materials. Responses are labeled clearly, whether they’re from the Answer Bank, AI Generated, or Needs Action, giving teams an immediate understanding of what requires review and why.

Multi-stage review mirrors the firm’s existing process across business unit, legal, compliance, and management sign-off. Every action including edits, approvals, reassignments, citations, and version changes, is captured in a structured audit trail.
Submissions can be exported back to the original questionnaire’s format in one click, or to PDF or Excel, complete with citations and version history.

Each firm is paired with a Norm Ai legal engineer who maintains tags, expirations, and governance rules, and aligns agents to evolving standards. Reviewer feedback becomes structured precedent, reducing repetitive work and preserving institutional knowledge over time.
Legal and compliance work relies on accurate, explainable knowledge that must be applied consistently across teams, products, and regulatory environments. When that knowledge is fragmented or manually reconstructed, firms lose speed, consistency, and institutional memory.
Norm Ai provides the foundation for a different model. By centralizing verified information and embedding compliance at every step, the platform creates an intelligence layer that supports any workflow where accuracy and oversight matter. DDQ and RFP completion are natural extensions of this foundation, but they are far from the end state.
Our vision is a unified legal and compliance platform where AI agents encode firm rules once and apply them everywhere they’re needed: in diligence, disclosures, reporting, governance, risk analysis, and internal decision-making. As those agents deepen in context and coverage, they become a system of record for how the firm interprets and applies its own standards.
This is the architecture for scalable expertise, a platform that grows with the organization.
Learn how leading firms use AI to scale DDQ and RFP completion without sacrificing accuracy, governance, or institutional judgment on Tuesday, January 27th at 11:00 am est. Register here.
We’ll reach out to schedule a personalized demo.
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