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How to Automate Legal Intake and Triage to Cut Cycle Time: A Practical Playbook

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Jarryd Strydom

December 21, 2025

![Modern office meeting illustrating AI-powered legal intake and Sales–Legal alignment](https://images.sandstone.example/hero-legal-intake-triage.jpg)

One-line value promise: Stand up AI-assisted intake and triage to shave 5–10 days off contract cycle time and give stakeholders instant clarity.

More than half of in-house legal requests land in legal’s lap missing key context. That single gap routinely adds a week to cycle time. Meanwhile, Sales pings Legal in Slack, Procurement emails a spreadsheet, and priorities collide. The result: legal becomes the bottleneck instead of the engine of speed.

You can fix this fast. By operationalizing intake and triage with AI agents grounded in your playbooks, you route work to the right lane, enrich requests automatically, and keep deal velocity intact.

Quantify the Goal and Define Success

Set targets upfront so your intake program is built for outcomes, not forms.

- Cycle time: reduce request-to-assignment by 80% and request-to-resolution by 30–50% for low-complexity work (NDAs, DPAs, vendor reviews).

- First-time-right rate: 90% of requests include required fields without follow-up.

- Auto-routing: 60–70% of inbound matters routed without human triage.

- SLA adherence: 95% of low-risk matters turned in under agreed SLAs.

- Stakeholder CSAT: 4.5/5 average for requestors (Sales, Procurement, HR).

Pro tip: publish shared SLAs with Sales–Legal so the business knows what “fast” means.

Diagnose Your Current State

Map how work arrives today and where it stalls.

- Channels: email, Slack, portals, Salesforce/CPQ, procurement tools.

- Data quality: common missing fields (counterparty name, deal value, term, jurisdiction).

- Bottlenecks: manual triage, duplicative data entry, policy questions bouncing between counsel.

- Baseline metrics: average handle time, rework rate, queue depth, percentage of low-complexity matters.

This baseline becomes your before/after story for the CFO and CRO.

Use an Intake-to-Decision Framework

Shift from “collect then chase” to “collect, classify, enrich, route, resolve, learn.”

- Capture: one front door with dynamic forms that adapt to context (e.g., NDA vs. MSA).

- Classify: AI reads the request and tags matter type, risk tier, urgency.

- Enrich: pull missing fields from CRM/ERP; answer policy questions from your knowledge layer.

- Route: apply rules and SLAs to send to self-serve, AI-assisted draft, or attorney review.

- Resolve: complete work in the right lane; surface redlines, playbook positions, and approvals.

- Learn: every decision updates playbooks and improves the model.

On Sandstone, this is a native pattern: your layered playbooks become the knowledge the AI agent uses to triage and draft with crafted precision.

Step 1: Standardize and Centralize Intake

Create a single intake front door. Use conditional logic to collect only what’s needed but always what’s required.

- Required fields by matter type (e.g., entity, counterparty, value, data types processed).

- Dynamic guidance that answers “which template?” or “is DPA required?” inline.

- Integrations to pull context from Salesforce, NetSuite, or Jira automatically.

Result: fewer back-and-forths, immediate eligibility for auto-routing.

Step 2: Train the AI Agent on Your Playbooks

Your playbooks are the source of truth. Make them actionable.

- Load fallback positions, escalation thresholds, and clause libraries into your knowledge layer.

- Tag positions by risk tier and business scenario (SMB vs. enterprise, regulated industries).

- Ground the AI on examples of approved drafts and prior negotiated outcomes.

With Sandstone, the agent uses these layers to classify risk, propose positions, and draft first-pass language.

Step 3: Build Routing Rules and SLAs With the Business

Align with Sales, Procurement, and Security on lanes and timelines.

- Self-serve lane: standard NDAs, mutual DPAs, policy FAQs.

- AI-assisted lane: low-risk vendor reviews with standard fallback positions.

- Attorney lane: non-standard terms, high-risk jurisdictions, or regulated data.

Publish SLAs (e.g., self-serve instant, AI-assisted 4 hours, attorney 2 business days). Add auto-approvals for low-risk deviations.

Step 4: Pilot on One High-Volume Workflow

Start where impact is clear and complexity is low. NDAs are ideal.

- Launch a 2-week pilot with Sales. Measure request completeness, auto-routing %, and cycle time.

- Use AI to generate first drafts and route to self-serve signature when standard.

- Hold daily standups in week 1; tune fields, playbook triggers, and approval thresholds.

Win credibility before expanding to DPAs, vendor intake, and SOWs.

Step 5: Govern, Measure, and Iterate

Treat intake as a product that improves with each request.

- Dashboards: cycle time by lane, SLA adherence, first-time-right, rework drivers.

- Feedback loops: requestor CSAT, “why escalated” tags, playbook gaps.

- Risk controls: audit logs, PII minimization, model guardrails, and human-in-the-loop for high risk.

Tie results to dollars: reduced time-to-signature, fewer deal slips at quarter end, and lower outside counsel spend on low-complexity matters.

Objections and How to Respond

- Accuracy: ground the AI in your approved playbooks; require human review above a risk threshold.

- Privacy/security: keep data in your org’s boundary; restrict model access to necessary fields; log every decision.

- Change management: one front door, clear SLAs, and visible wins from the pilot convert skeptics.

What to Do This Week

Host a 90-minute working session with Sales and Procurement:

1) List top three request types by volume. 2) Define required fields and SLAs. 3) Choose a one-lane pilot (NDAs). 4) Load your playbook into the knowledge layer. 5) Launch the pilot and measure.

Closing the loop: When intake, triage, and decisions live in a shared, AI-powered operating system, legal becomes the connective tissue of the business. On Sandstone, every request strengthens your foundation—knowledge compounds, cycle time falls, and trust rises. That’s how legal moves from reactive support to a proactive force for speed and alignment.

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