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When to Implement CLM vs. Workflow Automation: A Practical Playbook for In‑House Legal

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Jarryd Strydom

December 3, 2025

Most contract cycle time sits outside Legal—often 60% or more is intake, context gathering, stakeholder review, and approvals. That’s why the CLM vs. workflow automation decision is less about feature lists and more about timing. Implement the right layer at the right moment, and you’ll shorten cycle time, reduce variance, and build a legal foundation that compounds.

The Decision You’re Actually Making

You’re choosing between two different kinds of leverage:

- CLM (system of record): Deep document control—templating, clause libraries, negotiation tracking, repository, obligations, and audit trails.

- Workflow automation (system of motion): How demand enters Legal, how it’s triaged, routed, and resolved; how playbooks and positions are applied consistently at scale.

Both matter. But they pay off under different conditions. Legal teams that move too early to CLM often spend months configuring templates while intake chaos persists. Teams that avoid CLM too long struggle with clause drift and weak obligation tracking. The right move depends on your volume, variance, and where time actually burns.

When to Implement CLM First

Prioritize CLM when structure and traceability will unlock the biggest gains:

- Moderate-to-high standardization: 60%+ of volume fits well-defined templates (e.g., NDAs, standard SaaS MSA + Order Form).

- Heavy obligation and audit needs: You must track renewal windows, SLAs, DPAs, or regulatory clauses with confidence.

- Material third‑party paper: You need clause fallbacks, redline lineage, and negotiation analytics to maintain positions.

- Fragmented repositories: Documents live in email, SharePoint, and drives, making search and reporting unreliable.

- Mature playbooks: Legal positions are defined enough to encode into clause libraries.

CLM gives you single‑source‑of‑truth and negotiation discipline. But if your biggest delay is getting clean intake and business context, CLM alone will not fix throughput.

When to Lead with Workflow Automation

Lead with workflow automation if demand is messy and response patterns are repeatable:

- Intake friction is high: Requests come through email/Slack with missing context, leading to back‑and‑forth and long waiting periods.

- Routing is the bottleneck: Work stalls because approvals, info gathering, or procurement/legal/infosec handoffs aren’t orchestrated.

- Lean team, high variability: You need consistent triage to shield attorneys from noise and level‑0 tasks.

- Existing templates are “good enough”: Repos exist, but the problem is getting the right template to the right person with the right data.

- Time‑to‑first action drives outcomes: Shortening the first 24–48 hours will yield disproportionate cycle time gains.

Workflow automation operationalizes your playbook: capture structured intake, classify request type, apply positions, and route to decision‑makers with SLAs. It turns legal into connective tissue across sales, finance, security, and procurement—without forcing teams to abandon familiar tools.

A Layered Path That Compounds

You don’t need a big‑bang decision. Adopt a layered sequence that builds strength over time:

1) Intake and triage: Centralize requests; require essentials (counterparty, value, data processing, security artifacts), and auto‑route.

2) Playbook enforcement: Standardize positions and fallbacks; generate first drafts and comment guidance automatically.

3) Approvals and escalations: Lock in thresholds for finance, security, and exec escalations; capture decisions for future reuse.

4) Repository and obligations: Once motion stabilizes, implement CLM for templating, clause governance, and obligation tracking.

This order delivers visible wins early while preparing clean data for CLM to thrive. Strength through layers; precision where it matters; natural integration with how teams already work.

How AI Agents Make It Real (On Sandstone)

AI agents can absorb the repetitive work so your team focuses on judgment:

- Smart intake agent: Converts emails or Slack messages into structured requests; asks missing questions automatically based on contract type.

- Classification and routing: Tags NDAs vs. MSAs vs. DPAs; applies playbooks; routes for finance/security review using deal value, data scope, and risk profile.

- First‑pass drafting: Generates counterparty‑aware NDA or Order Form drafts; applies standard positions and suggests fallbacks in‑line.

- Approval orchestration: Launches parallel approvals with SLAs; nudges stakeholders; logs decisions for audit.

- Knowledge capture: Every triage, deviation, and approval strengthens the playbook for the next request.

Because Sandstone is a legal knowledge layer as well as an automation platform, each decision becomes actionable precedent—not shelfware. That’s how legal gets faster, and smarter, at the same time.

A 30‑Day Next Step You Can Run Now

Run a low‑lift diagnostic and pilot:

- Week 1: Baseline. Measure median time from request to first legal touch; top three request types; approval wait times; percent of missing‑info requests.

- Week 2: Instrument intake. Route all requests through a structured form or AI intake; require fields that drive routing (deal size, data type, counterparty paper).

- Week 3: Automate a single path. Pick one high‑volume flow (e.g., mutual NDA or low‑risk Order Form). Auto‑generate first drafts, apply playbooks, and auto‑route approvals.

- Week 4: Review and decide. Compare cycle times and rework rates. If intake and routing now hum, start the CLM evaluation. If content control remains the constraint, prioritize CLM configuration next.

The outcome isn’t a tool checkbox—it’s a decision about where structure versus motion will return more hours to the business right now.

The Close: Build the Bedrock, Not Just the Toolset

Great legal operations scale through layered knowledge, crafted precision, and natural integration with the business. Whether you start with CLM or workflow automation, the goal is the same: convert playbooks and decisions into a living system that compounds. Platforms like Sandstone turn every intake, triage, and approval into reusable intelligence—so legal becomes a proactive force for speed, alignment, and trust at the heart of the company.