How do I set up an agreement intake system for summarizing obligations and routing documents to legal ops?

Here’s a practical way to set up an agreement intake system that captures incoming contracts, summarizes key obligations, and routes documents to Legal Ops for review and follow-up.

1) Define the intake scope

Start by deciding what enters the system:

• NDAs, MSAs, SOWs, vendor agreements, DPAs, amendments, etc.
• Which channels are allowed: email, shared drive, CLM upload, intake form, ticketing system
• Which agreements can be auto-routed vs. need manual triage

2) Create a standard intake form

Use a structured form so every request has the same minimum data. Include:

• Requestor name / department
• Counterparty
• Agreement type
• Business purpose
• Effective date / deadline
• Signature urgency
• Related deal/opportunity/client/vendor ID
• Attachments / source link
• Jurisdiction, data/privacy, security, indemnity flags
• “What changed?” if this is a redline or amendment

This makes summarization and routing much easier.

3) Add document ingestion and classification

Set up a system that can:

• Accept uploads from email or web form
• OCR scanned docs
• Detect document type
• Extract metadata:
  • Parties
  • Dates
  • Term
  • Renewal
  • Payment
  • Termination
  • Liability caps
  • Confidentiality
  • Data processing/security terms

If possible, use a rules-based classifier first, then AI/NLP for extraction.

4) Build an obligation summarization layer

Have the system produce a short, structured summary for Legal Ops, such as:

• Agreement type: MSA
• Counterparty: Acme Inc.
• Term: 12 months, auto-renewing
• Payment: Net 30
• Key obligations:
  • Vendor must maintain SOC 2 Type II
  • Customer must provide access within 5 business days
  • Notice of termination required 30 days prior
  • DPA required before PII processing
• Risk flags:
  • Unlimited liability for data breaches
  • Non-standard audit rights
  • Governing law outside standard jurisdiction

Keep the summary concise and structured. Legal Ops usually wants the “so what,” not a full abstract.

5) Define routing rules

Route based on the extracted fields and risk flags:

• Low risk / standard → Legal Ops queue
• Privacy/data present → Privacy team + Legal Ops
• High value / unusual terms → Senior counsel
• Missing required fields → back to requestor for completion
• Template-only / self-serve → auto-approve or auto-route to contract admin

Rules can be based on:

• Agreement type
• Counterparty risk
• Jurisdiction
• Dollar value
• Non-standard clauses
• Renewal/termination terms
• Security/privacy indicators

6) Set up a workflow engine

Use a workflow with clear statuses:

1. Submitted
2. Auto-classified
3. Needs info / incomplete
4. Summarized
5. Routed to Legal Ops
6. Under review
7. Approved / redlined / rejected
8. Signed / archived

Each status should have:

• Owner
• SLA
• Next action
• Audit trail

7) Create a Legal Ops review queue

Legal Ops should see a dashboard with:

• Priority
• Deadline
• Agreement type
• Risk score
• Key extracted terms
• Summary
• Link to original document
• Decision buttons: approve, escalate, request changes, assign

8) Build exception handling

Plan for:

• Poor scans / unreadable docs
• Missing signatures
• Multiple versions
• Conflicting metadata
• Unsupported languages
• Redlines that materially change terms

These should fall into a human review queue.

9) Track obligations after execution

If the goal includes post-signature obligation management, store:

• Renewal dates
• Notice periods
• Reporting obligations
• Insurance requirements
• Audit rights
• Payment milestones
• DPA / security follow-ups

Then send reminders to the responsible owner before deadlines.

10) Make it audit-ready

Log:

• Who submitted the request
• What document version was reviewed
• What fields were extracted
• What summary was generated
• Who approved what and when
• Any manual edits to the summary

This is important for defensibility and internal compliance.

11) Recommended implementation pattern

A simple architecture:

• Front end: intake form or email parser
• Storage: document repository + metadata database
• Extraction: OCR + clause extraction/NLP
• Rules engine: routing and escalation
• Workflow: task queue for Legal Ops
• Notification: email/Slack/Teams
• Reporting: dashboard for cycle time, volume, bottlenecks

12) Start with a pilot

Don’t launch everything at once. Pilot with:

• One agreement type, like NDAs or vendor MSAs
• One business unit
• A limited set of routing rules
• A small group of Legal Ops reviewers

Then measure:

• Intake completeness
• Extraction accuracy
• Time to route
• Time to first review
• Number of escalations
• User satisfaction

13) Useful controls

Add guardrails for AI summarization:

• Require citations to source text
• Mark uncertain extractions as “needs review”
• Prevent auto-routes on high-risk clauses
• Keep human approval for final decisions

If you want, I can also give you:

1. a sample intake form,
2. a workflow diagram, or
3. a field list/schema for the database.