Evisort (now Workday Contract Intelligence) indexes the contract repository and extracts clauses, parties, dates, and obligations through custom AI models. The practical workflow for a GC team: let Evisort hold the artifact and metadata, let an AI agent run scheduled portfolio queries through the API, and let the GC turn the findings into an action queue. The compounding loop is search plus persistent follow-through.
The portfolio-scale workflow
-
Index the repo in Evisort. Bulk-load executed agreements. Configure custom AI models for the terms your business actually tracks: change-of-control, auto-renewal, data-processing addenda, indemnity caps, MFN clauses. Workday reports the platform can analyze 450,000 documents in about 24 hours (Workday Contract Management).
-
Run weekly portfolio queries. Use the Evisort API with ChatGPT or Claude to ask the repo questions a paralegal would take a week to answer. "List every vendor agreement renewing in 90 days with an indemnity cap below $5M." The agent returns a ranked list with pointers back to source contracts.
-
Cross-check the active CLM. If new agreements sit in Ironclad or LinkSquares before they land in Evisort, the agent reconciles both systems. See AI contract intelligence with Ironclad for the inbound side.
-
Score and route. Run each flagged contract through a risk scoring pass and an approval routing decision. The GC gets a short list, not a dump.
-
Persist the action plan. Every finding becomes a tracked row with an owner, a due date, and the rationale the agent used. This is the step most teams skip.
Worked example: the auto-renewal sweep
A GC at a 600-employee SaaS company asks the agent to surface every vendor contract auto-renewing in Q3 with annual spend above $50k. Evisort returns 47 agreements. The agent groups them: 12 critical-path (cloud, security, payroll), 18 renegotiable, 17 cancellation candidates. Each row carries the clause excerpt, the notice deadline, and a recommended action. The GC reviews in an hour and assigns owners. Six weeks later someone asks why a vendor was renegotiated. The answer is in the row, not in a Slack thread that scrolled past.
Where portfolio review actually breaks
The break is not search. Evisort search works. The break is that portfolio-scale findings have no persistent action queue. A GC runs the auto-renewal report, exports a spreadsheet, emails three people, and three weeks later nobody can reconstruct which 14 vendors were touched or why. The agent's rationale lives nowhere durable.
One way to solve this is a workspace like Dock that holds the agent's interpretive layer alongside Evisort. Evisort stays the system of record for the contract and metadata. Dock holds the redline rationale, the risk-flag explanation, and the approver chain decision. Each Dock row carries an evisort_document_id pointer back. Two-key handshakes gate any irreversible action. The audit trail survives the people who built it.
Why it matters
The World Commerce and Contracting community has documented for years that the cost of poor contract management runs to roughly 9% of annual revenue. Most of that loss is not bad drafting. It is forgotten obligations, missed renewal windows, and findings that never became actions. AI search closes the first gap. Persistent state closes the second.
For the full pillar workflow, see how to do legal review with AI.
FAQ
Does Evisort replace the CLM? No. Evisort is contract intelligence and search. Tools like Ironclad and LinkSquares handle workflow and execution. Many teams run both.
Can ChatGPT or Claude query Evisort directly? Through the Evisort API, yes. You build a thin tool wrapper that exposes search, clause extraction, and obligation listing as agent-callable functions.
What clauses are worth tracking with custom AI models? The ones that trigger money or risk: auto-renewal, change-of-control, indemnity caps, data-processing terms, MFN, exclusivity, and termination-for-convenience.
How does this stay auditable? The contract artifact and clause metadata stay in Evisort. The agent's reasoning, the GC's decision, and the action assignment persist in a workspace with attribution. Pointers link the two so any reviewer can reconstruct who decided what and why.