Custom-contract approvals usually don’t take 5 to 10 days because legal teams are moving too slowly. The delay often starts earlier in the contract approval process.
Consider this common scenario: a non-standard contract comes in, someone tries to figure out which terms changed, and the safest move is to route the whole thing to every subject-matter expert who might need a say. Finance gets it. Legal gets it. Privacy gets it. Procurement may get pulled in, too.
Then the contract stalls.
Not because anyone needs days to read one clause. Most decisions take minutes once the right person sees the right issue. The real delay comes from routing the wrong work to too many people before anyone has clearly typed the deviation.
For many organizations, this is where contract management starts to break down. The team may have a contract lifecycle management platform and people ready to approve contracts, but the workflow still depends on someone manually deciding where each issue should go.
In this guide, we’ll look at why custom-contract approvals often stretch into a 5-to-10-day cycle, why parallel approval doesn’t solve the core issue, and how deviation-typing can help teams route contracts with far less friction.
Most posts on contract approval workflows open with the same statistic: average review cycles are now 3.4 weeks.
That number describes a portfolio average. It doesn’t show what happens to one custom contract after a sales rep marks it for legal review.
At most mid-market companies, the real picture is simpler.
A custom contract comes in. Someone in legal ops checks the contract type, contract value, non-standard terms, and possible compliance risks. If the language isn’t pre-approved, the safest move is to send it to every business stakeholder who might need input.
Finance gets it for payment terms. The deputy GC gets it for indemnity. Privacy gets it for data handling.
Now, three SMEs have the same contract sitting in three queues. Each person has their own work, their own priorities, and their own calendar. The contract waits.
That’s why this usually isn’t a lawyer-throughput problem. When the right SME sees the right issue, the decision may take 20 minutes. The 5 to 10 days come from calendar latency, not work time.
If you read the top guides on contract approval workflows in 2026, the recommended fix is “parallel approval.”
Don’t run sequential approvals. Send the new contract to finance, legal counsel, the legal department, procurement, senior management, and other relevant stakeholders at the same time. Compress three calendar gates into one.
This sounds right and is wrong.
Running approvals in parallel can help when every SME’s review is independent. For custom contracts, that’s rarely how the work moves.
Finance may need to know how legal handled the late-fee clause before the contract meets payment requirements. Legal may need privacy to weigh in before signing off on indemnity.
Parallel routing still leaves the contract sitting in multiple queues. The SMEs are now blocked from each other, even if they received the contract at the same time.
The deeper issue is that parallel approval doesn’t reduce the number of people reviewing the contract. It changes when they look. Every SME still gets every deviation, even the ones outside their function.
In contrast, contract approval automation should assign approvers based on the issue, keep business teams on the same page, support effective communication, and avoid delays from manual follow-ups or human error.
Before a custom contract goes to any SME at all, the platform should read it and answer one question: which clauses deviate from our standard, and what type of deviation is each one?
Once you have that answer, the routing problem becomes tractable. A payment-term deviation routes to finance, period. An indemnity carve-out routes to legal, period. A data-handling change routes to privacy, period.
The same contract that used to go to three SMEs in three queues now goes to three SMEs as three separate, parallel, single-decision asks, and only the SME that owns the relevant deviation sees the relevant section.
The deputy GC isn't being asked to review payment terms. The CFO isn't being asked to review indemnity language.
The build pattern we ran at the 4,100-person organization above uses an AI playbook trained on a sample of their past-negotiated contracts.
The team identified eight categories of recurring deviation across an initial set of eight custom contracts: payment terms, indemnity, data handling, IP, term/termination, governing law, warranty, and SLAs. Eight categories, mapped to four routing destinations.
The minimum viable dataset for this kind of typing model isn't "all your contracts ever." It's about 20 to 30 past-negotiated contracts that have been redlined and signed.
That's small enough for legal ops to assemble in a week. It's large enough for the model to see each deviation type two or three times, which is the threshold where classification accuracy gets to a place where SMEs trust the auto-routing.
Here is the actual sequence once the upstream classification step is in place.
A sales rep submits a counterparty-paper MSA via Microsoft Teams, email, or a form. The platform pulls the contract request into the workspace and runs the deviation-typing model against it.
The output isn’t “this contract has been reviewed.” The output is a structured map: clause 4.2 is a payment-term deviation under the contract’s terms (route to the finance department), clause 7.1 is an indemnity carve-out (route to legal), clause 11.3 is a data-handling exception (route to privacy).
Each routed clause carries the playbook position and approval rules that the company has already approved for that deviation type, plus the suggested redline.
Finance opens their queue, sees one clause to review with a suggested redline attached, and accepts or counter-redlines. Legal does the same. Privacy does the same.
None of them is reading the full contract. None of them is deciding how to route the contract approval steps to each other. The platform did that work.
The version control and audit trail record every step automatically: who saw which deviation, what their decision was, when it was made, and what playbook position was applied.
When the contract is executed, automated systems show that the necessary approvals went to the appropriate individuals before final approval, rather than living in a separate spreadsheet that someone has to maintain.
The number nobody publishes is what same-day actually means in practice. It doesn’t mean submit contracts and watch them clear in 30 seconds. It means the deviation-typing pass finishes in under two minutes, three SMEs each touch their assigned clause within four hours, and the contract is signed and stored by the end of business the day it was submitted.
Game changer. You can quote me on that.
Mike Mullane, General Counsel at Breas
If you stand up a deviation-typing + auto-routing workflow, the metrics that tell you it's working aren't the ones the legacy CLM dashboards report. The legacy dashboards report cycle time. Cycle time will compress, but it lags. You won't see the real change for a couple of months.
What you should measure in the first 30 days instead:
Notice that none of these three measures cycles time directly. The argument is that if you get these three right, cycle time follows. If you measure cycle time first, you'll spend the first month trying to optimize the queue instead of the typing model, and the queue isn't the bottleneck.
A deviation-typing + auto-routing approval flow only works if the typing model has access to the actual contract document, the playbook, the routing rules, and the audit-trail destination in one system.
If those four things are split across a CLM platform, a redline tool, a workflow engine, and a separate audit log, you’ve added integration latency that eats half the gain you just made on routing.
The pattern that compresses 5-to-10-day cycles to the same day is the pattern that puts those four things in the same product. That’s the workflow-platform thesis, and it’s why Aline customers consolidate the review and approval process into the same platform they use for draft, redline, sign, and search.
Game changer. You can quote me on that.
The thing Mullane is reacting to isn’t the workflow engine on its own. It’s that the workflow engine is reading the same documents the contract review tool is editing, in the same contract repository the audit trail is pulling from, in the same platform the signature flow runs against.
The advantage shows up at week six, when nobody is exporting CSVs from one tool to import into another.
Manual contract approval often breaks down across approval stages because department heads, legal, finance, and operations may all work from different systems.
Contract automation software prevents contracts from getting stuck in that internal approval gap by keeping the document, routing logic, redlines, audit trail, and final signature flow connected.
Before you trust any automated contract approval setup, ask how it actually gets contracts approved. A proactive approach starts with deviation-typing, clean routing, and an audit trail that your team doesn’t have to rebuild later.
If a platform passes all three, the 5-to-10-day cycle on your custom contracts is a solvable problem on a quarter timeline.
If you want to see what deviation-typing looks like against your own contracts, try Aline today.
Slow contract approvals usually point to a larger set of pain points across various stages of the contract lifecycle.
The contract draft may start in one tool, move through manual processes for review, wait for the right person to approve it, and then shift somewhere else for electronic signatures and storage.
Aline helps bring that work into one connected system.
You can manage contracts from draft to signature, set automated workflows, route approvals, review and approve language with AI support, capture changes in the audit trail, and keep signed agreements in a searchable repository.
Aline gives your team a clearer automated contract approval process without losing control over legal judgment, internal rules, or risk review.
The result is an automated contract approval workflow that feels easier to track, easier to defend, and easier to scale as contract volume grows.
If you're trying to move away from scattered manual processes, Aline gives you a practical path toward faster approvals, reduced risk, and audit-ready contract operations.
Book a demo today to see how Aline can help your team build a better approval workflow.
