What Vault Does
LegalOn this week launched Vault in the US and Europe, a contract repository product that crosses into territory traditionally occupied by contract lifecycle management (CLM) platforms. Vault automatically extracts standard and custom fields from a firm's contract repository, enables natural language questions about agreements, identifies renewal and expiration dates, and sends notifications tied to specific terms and assignees.
The product connects directly to DocuSign so executed contracts flow in automatically. CEO Daniel Lewis described the vision: "A lawyer can now draft a new agreement, review an inbound contract against their playbook, manage an intake request from the business, track a renewal obligation, and surface how a similar deal was handled eighteen months ago — all inside LegalOn."
Notably, LegalOn insists it is not a CLM. The distinction is increasingly semantic, but the intent behind it is real: LegalOn is building from the AI-first side into workflow, rather than the workflow-first side into AI.
The In-House Problem It Solves
For in-house legal teams, contract data is the single most valuable and most poorly managed asset. Teams typically have contracts spread across file systems, email threads, shared drives, and CLM systems that were poorly configured and never properly populated.
Vault's approach — AI-powered extraction across whatever repository format the team already uses, without manual tagging — addresses the actual bottleneck rather than the idealized workflow. The natural language interface means a GC can ask "Show me all contracts with revenue-sharing provisions that expire in the next six months" and get an answer without an IT project.
The CLM Market Reckoning
Vault's launch is part of a broader reckoning in the CLM market. Purpose-built CLM platforms — Ironclad, Icertis, Conga — spent the early 2020s promising AI capabilities that were largely aspirational. AI-native challengers like LegalOn, Spellbook, and Docusign Accelerate are now delivering AI quality that the legacy CLM platforms cannot match at competitive price points.
The window for an AI-native platform to win the market from below is open — but narrowing.