Your contracts might say what's allowed, but our systems don't always agree.
That’s why SpotDraft and Mine are partnering to connect contractual context with live operational governance, bringing relevant contract data into privacy and risk assessments, while feeding real system and vendor inventory back into the legal process.
The goal is simple: help Legal, Privacy, Security, and Procurement work from the same picture of what was agreed and what is actually happening.
You know how it goes, somewhere in your contract repository is a Data Processing Agreement you signed 18 months ago, spelling out exactly what a vendor can and can't do with your data, how long they can retain it, and which sub-processors they're allowed to use.
It was accurate the day it was signed.
Has anyone checked since? Has the vendor added a sub-processor? Connected the data to a new AI tool the contract never contemplated? For most contracts, in most companies, nobody knows, because nobody is set up to check. The contract becomes a filed document. It stops being a living constraint the moment it's signed.
That gap between what the contract says and what the business is actually using is an increasingly important governance blind spot.
SpotDraft and Mine are building a bi-directional integration so that each platform’s data can make the other more useful, and begin closing the gap between contractual commitments and operational reality.
Here is what that looks like in both directions.
From SpotDraft Into MineOS: Contract Data Becomes Governance Context
SpotDraft manages the agreements that define a company’s relationships with its vendors, including MSAs, DPAs, amendments, redlines, and related legal documents.
Through the planned integration, relevant raw contract data can become trusted context for MineOS and Mira’s Autofill Agent.
When a privacy, vendor, transfer, or AI assessment begins, Mira can use information the organization already has in SpotDraft rather than asking reviewers to reconstruct it manually.
Depending on the agreement, that context may include:
The practical benefit is straightforward: assessments can start with what the company has already negotiated and approved, rather than from a blank form.
Reviewers remain responsible for validating the information and making the decision, but they spend less time searching through documents and repeating work that has already been done.
From Mine Into SpotDraft: The Inventory Reveals Contract Gaps
Mine maintains visibility into the systems, SaaS applications, vendors, AI-enabled tools, and other technologies operating across the organization.
That inventory can be shared with SpotDraft and reconciled against the vendors and agreements already stored in the platform.
When a vendor or tool appears in the operational environment but cannot be matched to an existing contract record, teams can investigate whether:
Mine can provide the operational profile. SpotDraft can provide the contractual record.
Together, they give Legal, Privacy, Security, and Procurement a clearer view of which relationships are properly covered, and which require follow-up.
Put the two directions together and the blind spot begins to close.
Legal can see which vendors and systems are actually operating across the business and where contractual coverage may be missing.
Privacy and Security can bring relevant contract context directly into assessments and governance decisions.
For customers, that can mean:
The partnership will begin by identifying mutual customers and validating the highest-value use cases with them. Each company will bring relevant customers into the process, assess where the platforms already overlap, and determine which connected workflows solve meaningful operational problems.
SpotDraft and Mine will also support joint opportunities where customers would benefit from connecting contract management with privacy, vendor, and AI governance.
This customer-led approach ensures that the integration develops around real workflows, rather than assumptions about how the teams should work together.
This is not about Legal and Privacy becoming the same department. It is about treating them as two views into the same risk, rather than two unrelated workstreams.
Shared visibility beats handoffs. Contractual terms should be available when Privacy and Security assess a vendor, while live system and vendor data should be visible when Legal evaluates whether the right agreements are in place.
Obligations need to be traceable, not just stored. A sub-processor restriction or AI-use clause only matters if teams can find it when making a governance decision and determine whether it still reflects the relationship.
When Legal, Privacy, Security, and Procurement work from the same underlying context, they can identify gaps earlier and govern the relationship more consistently, from negotiation through ongoing use.
Legal teams negotiate the rules: data-processing terms, AI-use clauses, retention obligations, sub-processor restrictions, and security commitments.
Privacy and Security teams deal with the operational reality: which systems hold data, which vendors process it, which tools employees use, and where new AI capabilities appear.
In theory, these are two halves of the same job.
In practice, the relevant information often lives in entirely separate systems.
The DPA sits in a contract repository or CLM platform. The system and data flow it governs sit across SaaS applications, cloud environments, identity systems, and internal databases. Legal may not see when a new vendor or AI tool enters the environment. Privacy and Security may not have the relevant contractual terms available when they begin an assessment.
Each team has part of the answer. Neither automatically has the complete context.
Contracts are relatively static. The environment they govern is not.
Vendors add sub-processors. SaaS providers release AI features. Teams adopt new tools. Permissions expand. Data flows change. An approved relationship can evolve substantially after the original agreement and assessment were completed.
At the same time, vendors and AI tools may begin operating before Legal knows that an agreement, or an updated agreement, is required.
This is where the disconnect creates practical risk:
The problem is not that either team failed to do its job. The problem is that contractual context and operational reality are managed separately.
On contracts: World Commerce & Contracting research puts the average value lost through poor contract management at around 9% of annual revenue, driven by missed renewals, untracked obligations, and weak post-signature management. In complex industries, that figure can climb past 15%.
On data and AI usage: multiple 2025–2026 surveys, including research from Microsoft and UpGuard, point to the same underlying problem: a significant share of employees are using AI tools their companies never approved. One analysis found that security teams had visibility into fewer than 20% of the AI tools actually operating inside their organizations.
Put side by side, the picture is clear: Legal is negotiating careful terms about how data will be used, while actual data and AI usage runs well ahead of anyone’s ability to check it against those terms.
Regulatory pressure only increases the stakes. GDPR fines have passed €7 billion cumulatively, with roughly €1.2 billion issued in 2025 alone, underscoring the cost of losing control over how data is handled in practice.
Security moved away from annual audits in favor of continuous monitoring. Finance moved from periodic reconciliation toward real-time visibility.
Contracting and privacy are now facing the same question: is a point-in-time sign-off still meaningful governance in an environment that changes daily?
The honest answer is no.
A DPA that is accurate on signing day and unverified for the next three years is not actively governing the relationship. It is documenting an intention.
As AI becomes embedded into more of how companies operate, legal risk and data risk are becoming harder to separate.
A vendor’s new AI capability is both a contractual question - what does the agreement permit? and an operational governance question - what is the tool actually doing with company data?
Increasingly, it is one question viewed from two desks.
Companies that continue treating contracting and data governance as sequential processes will keep losing context between negotiation, assessment, implementation, and ongoing use.
SpotDraft and Mine are working toward a more connected model: one where contract data informs privacy, vendor, and AI assessments, while live operational inventory helps reveal the relationships that still need legal coverage.
SpotDraft shows what the organization agreed to. Mine shows what is actually operating across the business. Connecting the two gives Legal, Privacy, Security, and Procurement one shared view of the vendor relationship, from contract to operational reality.
.png)
