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Contracts, Forms or Approvals: Which Should You Automate First

7 min read
Three organized document stacks representing different document types

When an ops team decides to tackle document automation, the first question is almost always the wrong one. Most teams ask "which tool should we use?" before they have answered the prior question: which document type should we automate first?

The answer matters a great deal. Document automation projects that start in the wrong place tend to run for several months, produce a polished setup that no one uses heavily, and leave the team uncertain whether the investment was worthwhile. Projects that start in the right place tend to surface measurable time savings within four to six weeks and generate internal momentum for expanding the automation further.

The right place to start is not the document type you find most interesting to automate. It is the one that meets a specific combination of criteria: high frequency, predictable structure, and a clear downstream bottleneck.

The Evaluation Framework: Three Criteria Before the Question of Document Type

Before comparing contracts versus forms versus approvals, apply three filters to your own document landscape.

The first filter is frequency. How many times per month does this document type get created? A document generated five times a year is not a strong automation candidate regardless of how painful each instance is. A document generated thirty times a month is worth significant investment even if each individual instance takes only thirty minutes. Automation returns compound with frequency.

The second filter is structural predictability. Does this document type follow a consistent structure with a defined set of fields that change from instance to instance, while the surrounding language stays largely stable? Or does every version require judgment calls about which sections to include, which clauses to modify, and which language to use based on context? Automation handles the first type well and handles the second type poorly without substantial custom logic.

The third filter is downstream bottleneck. After this document gets created, where does it sit before the work it enables can begin? If a vendor contract sits in a legal review queue for two weeks before the vendor relationship can move forward, then automating the drafting step only shifts where the delay occurs. The relevant question is whether automating the creation step also unblocks or shortens the downstream steps.

When to Start With Forms

Internal forms, intake questionnaires, and structured data-collection documents are often the strongest starting point for document automation, and they are consistently underestimated as a target because they feel simple.

The value of automating forms is not in the form itself. It is in what the form feeds. An intake form that captures the right data in a structured way becomes the input that generates a more complex document downstream, whether that is a contract, an onboarding packet, or a vendor setup record. Automating the intake stage means the data is clean and consistently structured when it reaches those downstream generation steps.

Forms also tend to score well on all three filters. They are usually high frequency. They have highly predictable structure. And they create a clear bottleneck when the person expected to fill them out is slow to respond or fills them out inconsistently, requiring follow-up to get the data right.

If your team generates more than ten intake forms or internal request forms per month and regularly has to chase down incomplete submissions or re-enter data from one system to another, forms are almost certainly the right starting point.

When to Start With Contracts

Contracts are the most common target for automation projects, and they are justified when a specific type of contract is genuinely high frequency and the drafting itself is the pain point rather than the review process.

The distinction matters. A team that creates one custom commercial agreement per month is not a contract automation candidate, regardless of how complex each agreement is. A team that creates twenty standard vendor services agreements per month, each based on the same template with company name, scope, payment terms, and dates filled in, is an excellent contract automation candidate.

The key word is "standard." Contract automation works well for documents where the structure is defined and the variables are enumerable. It works poorly for documents where the language itself needs to be negotiated or where the scope of the agreement changes significantly from instance to instance. We are not saying contract automation cannot handle complexity; we are saying that the ROI case depends on whether a consistent template structure actually exists.

If your standard contracts are genuinely standard, and if the drafting step rather than the review step is where time gets spent, contracts are a strong automation candidate. If every contract requires significant clause-level editing before it goes out, the template does not yet exist and needs to be built first, which is a separate project from automation.

When to Start With Approvals

Approval workflows are often where ops teams feel the most day-to-day pain, but they can be the worst starting point for automation if the underlying documents are not yet in a consistent state.

Automating an approval chain does not help much if the documents entering the chain are inconsistent, require manual inspection before routing, or arrive in multiple different formats. The value of approval automation comes from having a structured input: a document that arrives in a defined state and can be routed according to known rules without someone having to manually read it first to determine where it should go.

Approval automation is the right starting point when the input documents are already consistent and the routing rules are already defined but the routing itself still happens manually. This is a narrow condition. Most teams that think their approvals are the problem are actually finding that the upstream documents are the problem, and the approval delays are a symptom rather than the root cause.

If you have a document type that is consistently structured, enters your approval chain in a predictable state, and whose routing rules are fully written down but still require someone to manually forward emails or update spreadsheets, then approval automation will produce immediate visible results.

What the Right Sequencing Looks Like

For most ops teams handling a mix of contracts, forms, and approvals, the natural sequence is: forms first, then contracts, then approvals. The reason is dependency. Clean form data enables consistent contract generation. Consistent contract documents enable reliable approval routing. Each layer builds on the previous one.

This is not a universal prescription. A team that already has clean intake data and consistent templates but still manually routes every document through a chain would correctly start with approvals. The sequence should follow your specific bottleneck, not a generic recommendation.

The diagnostic tool is to map one end-to-end document lifecycle for your highest-frequency document type. Start from the triggering event that initiates the document, through each step of creation, review, approval, and signature, to the point where the document is filed and the work it enables can proceed. Mark where delays actually occur and measure roughly how long each step takes. That map will tell you where the constraint is, and the constraint is where you start.

Matching Scope to Team Size

One practical consideration that affects sequencing is team capacity for the automation project itself. A team of three handling back-office operations has a different capacity for a multi-month automation rollout than a team of eight with dedicated process improvement time. The right starting scope should be sized to what your team can actually implement and learn within the first four weeks.

A narrow, high-frequency starting point produces results faster and builds the internal case for expanding the automation. A broad starting scope that tries to cover contracts, forms, and approvals simultaneously tends to produce delays, partial implementations, and reduced confidence in the investment. Start with one document type, make it work, and then extend.

The question of which to automate first is ultimately a question of where your team's time is going right now. That is the document type that deserves the first investment.

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