Table of Contents
- Contract cycle time delays
- Slow contract revisions and version control problems
- Contract data security and privacy risk
- Lost contracts and limited contract visibility
- Manual contract work and human error
- Siloed access and cross-team collaboration gaps
- Compliance gaps, missed renewals, and obligation misses
- Frequently asked questions about contract automation challenges
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Key takeaways:
- Use conditional routing, parallel approvals, and escalation triggers to cut cycle time, since automation exposes where contracts stall but does not remove excess approval layers on its own.
- Centralize drafting, redlining, and a locked clause library in one contract lifecycle management (CLM) platform so everyone works from a single current version with a full audit trail.
- Vet any vendor’s security posture before signing by confirming role-based access controls, encryption, SOC 2 and ISO 27001 certifications, clear data policies for AI features, and sub-processor and data residency practices.
- Connect obligation extraction to workflow automation, templatized contracts, and a searchable repository so renewal dates, notice periods, and compliance duties trigger the right next step instead of relying on manual tracking.
Adopting contract automation software doesn’t make every contracting problem disappear, and most teams find that out within the first few months—even as 61% of legal departments now sit in active AI deployment phases. In fact, according to the 2026 Contracting Benchmark Report, most organizations take about six months to move from CLM implementation to meaningful value. This article covers the six challenges that tend to stick around, including slow cycle times, version control problems, security and privacy risk, lost contracts, manual errors, siloed teams, and missed obligations, and shows how the right automation, including AI-based review and obligation extraction, helps you fix each one.
Contract cycle time delays
Contract automation challenges are the problems that slow down, complicate, or undermine your efforts to streamline how contracts get created, reviewed, approved, and signed. Even after you adopt automation tools, contracts can still stall—and the usual culprit is cycle time. While the report found that the average days to execute a contract became 5% faster year-over-year, dropping from 37 to 35 days, those speed gains are often hard-won.
Cycle time is the total time it takes a contract to move from the initial request to a fully executed signature. Automation doesn’t magically fix slow cycles. What it does is make it obvious where things are getting stuck.
Most delays come from a few predictable places:
- Too many approval layers: contracts bounce between five people when two would do
- Sequential routing: every reviewer waits their turn instead of reviewing at the same time
- No escalation path: when a contract stalls with someone, there’s no automatic nudge to get it moving again
How contract automation software helps
Automation platforms let you build conditional routing so contracts go to the right people based on type, value, or risk. You can run parallel approvals, set escalation triggers, and use dashboards to see exactly where every contract sits. That means you can step in before a two-day delay snowballs into a two-week one.
Slow contract revisions and version control problems
Version control is how you track changes to a document over time so everyone works from the same, most current copy. When multiple people edit the same contract across email threads, local drives, and chat attachments, you lose that control fast.
Without a single source of truth, teams negotiate off outdated versions or redo redlines that were already resolved. This gets especially painful during multi-party negotiations.
You’ve probably seen the symptoms:
- Conflicting redlines: two reviewers mark up different copies, and someone has to reconcile them by hand
- Outdated templates floating around: business teams pull old versions from shared drives instead of the approved library
- No way to track who changed what: when something looks off, there’s no audit trail to check
How contract automation software helps
Contract lifecycle management (CLM) platforms centralize drafting and redlining in one workspace. They keep automatic version histories and lock your clause library so only approved language circulates. Collaborative editing replaces the email back-and-forth, giving every stakeholder real-time visibility into where the contract stands right now.
Contract data security and privacy risk
Contracts contain sensitive financial terms, intellectual property details, and personally identifiable information. Yet plenty of teams still share them via email or unsecured file-sharing tools where access isn’t controlled. It’s a widespread hesitation; The 2026 State of AI in Legal Report reveals that 53% of respondents who use AI for legal work cite security and data privacy concerns as the primary barrier to using it more extensively across their contracting workflows.
As you adopt automation, you also need to think about how your chosen platform handles data storage, access, and third-party processing. AI features built into contract tools add another layer of questions worth asking before you commit, especially since nearly seven in 10 workers already use their own GenAI tools on the job, raising real compliance and governance risks.
Common risk areas include:
- Open access: anyone with a shared drive link can view or download confidential agreements
- Unclear AI data policies: you don’t know whether your contract data is being used to train vendor models
- Flat permissions: a junior team member has the same access as senior counsel
How contract automation software helps
Modern CLM platforms enforce role-based access controls, encrypt data in transit and at rest, and maintain detailed audit logs. Responsible vendors publish clear AI data policies and hold compliance certifications like SOC 2 and ISO 27001. Before signing with any vendor, ask about sub-processor usage and data residency so you know where your data lives and who touches it.
Lost contracts and limited contract visibility
A contract repository is a centralized, searchable storage system where all your agreements live in one place. If you don’t have one, contracts end up scattered across inboxes, desktops, filing cabinets, and random cloud folders.
When someone needs to find a specific clause, renewal date, or obligation, the search turns into a scavenger hunt. That limited visibility isn’t just annoying—it creates real risk when you can’t answer basic questions like “how many vendor agreements auto-renew next quarter?”
The consequences pile up:
- Missed renewal windows: auto-renewals lock you into unfavorable terms because nobody flagged the opt-out date
- Duplicate agreements: different departments sign overlapping vendor contracts without knowing about each other
- No portfolio view: leadership asks for a high-level report and you’ve got nothing to show them
How contract automation software helps
A centralized repository with full-text search, metadata tagging, and optical character recognition (OCR) for scanned documents makes every agreement findable in seconds. Dashboards give you real-time views across departments, and automated alerts surface upcoming renewals or expirations before they slip through.
Manual contract work and human error
Contract management automation is the use of software to handle repetitive contract tasks—like generating documents, collecting signatures, and extracting data—without manual effort. Even teams that have partially adopted automation tools often still rely on copy-paste workflows, manual data entry between systems, and spreadsheet-based tracking for parts of the process.
Those manual handoffs are where errors creep in. Rekeying signer details, reformatting templates, chasing signatures via email—each step is a chance to introduce mistakes that slow things down or create risk, which is why AI-exposed work has seen a fourfold increase in productivity growth once those tasks are automated. This is the most common source of contracting issues for growing organizations.
Here’s what the difference looks like in practice:
| Task | Manual approach | Automated approach |
|---|---|---|
| Contract creation | Copy-paste from an old agreement, update fields by hand | Select a templatized form, auto-populate fields from intake data |
| Signature collection | Email a PDF, follow up manually | Route for e-signature with automated reminders |
| Data extraction | Read and retype key terms into a spreadsheet | Auto-extract metadata into a searchable repository |
How contract automation software helps
Automation connects intake forms to templatized contracts that auto-populate with the right data. Integrations sync contract details to CRMs, ERPs, and finance tools so information flows without re-entry. Built-in validation rules catch missing fields or incorrect values before contracts go out for signature.
Siloed access and cross-team collaboration gaps
Contracts touch legal, sales, procurement, finance, and HR—but each team often works in its own tools with its own processes. Without shared visibility, requests get lost in email, approvals stall because the right person wasn’t looped in, and duplicate work happens across departments.
Silos also mean institutional knowledge disappears when someone leaves. Here’s what this looks like day to day:
- Sales sends contracts legal never reviews: self-service without guardrails means non-standard terms go out the door
- Procurement and legal duplicate vendor reviews: neither team knows the other already looked at the same supplier
- Contract requests come in from everywhere: email, Slack, hallway conversations, and ticketing systems all at once
How contract automation software helps
Structured intake forms and automated routing ensure every contract request enters the same pipeline and reaches the right reviewers. Integrations with tools like Salesforce, Slack, and procurement platforms let teams work from wherever they already are without creating information gaps. Everyone sees the same contract status without chasing updates.
Compliance gaps, missed renewals, and obligation misses
Obligation tracking is the process of monitoring what each party has committed to doing under a contract—payment milestones, performance benchmarks, notice periods, and regulatory requirements. When teams lose track of these commitments, the consequences range from financial penalties to regulatory violations.
The problem scales with your portfolio. The more contracts you manage, the more obligations slip through manual processes.
- Missed notice periods: you fail to exercise a termination clause before the window closes, and the contract auto-renews on unfavorable terms
- Untracked performance milestones: SLA obligations go unmonitored until a vendor dispute surfaces
- Regulatory blind spots: contracts in different jurisdictions carry compliance requirements nobody is actively watching
How contract automation software helps
Automation platforms extract obligations from contract language, assign owners, and trigger alerts ahead of key dates. Compliance dashboards give you a real-time view of your obligation landscape, and metadata tagging surfaces jurisdiction-specific requirements across your entire portfolio.
The right CLM solution doesn’t just send renewal reminders—it connects obligation extraction to workflow automation so alerts trigger the right next step, not just a notification. Contracts and commercial carry the highest potential for transformation by generative AI, with 73% of respondents predicting a significant effect. Ironclad combines these capabilities in a single platform. Request a demo to see how it works for your team.
Frequently asked questions about contract automation challenges
Start with high-volume, low-complexity agreements like NDAs or standard order forms, then expand to more complex contract types as your team builds confidence with the platform.
Timelines vary by organization size and complexity, but teams with clear processes and a focused starting scope can launch their first automated workflow in weeks rather than months.
Track contract cycle time, user adoption rate, and the number of manual tasks eliminated as practical indicators that automation is delivering value.
Smart contracts are self-executing code on a blockchain, which serves a different purpose than contract lifecycle management automation—most enterprise contracting issues are better addressed by CLM workflow tools.
Ironclad is not a law firm, and this post does not constitute or contain legal advice. To evaluate the accuracy, sufficiency, or reliability of the ideas and guidance reflected here, or the applicability of these materials to your business, you should consult with a licensed attorney.



