> ## Documentation Index > Fetch the complete documentation index at: https://docs.case.dev/llms.txt > Use this file to discover all available pages before exploring further. # Create a new vault > Creates a new secure vault with dedicated S3 storage and vector search capabilities. Each vault provides isolated document storage with semantic search, OCR processing, and optional GraphRAG knowledge graph features for legal document analysis and discovery. ## OpenAPI ````yaml /openapi.json post /vault openapi: 3.1.0 info: title: Case.dev API description: >- The AI-native platform for legal technology. Build smarter legal applications with our suite of AI-powered APIs. version: 1.0.0 contact: name: Case.dev Support email: support@casemark.com url: https://case.dev license: name: Proprietary url: https://case.dev/terms servers: - url: https://api.case.dev description: Production security: - bearerAuth: [] tags: - name: Vaults description: Secure document storage with semantic search and GraphRAG - name: Memory description: >- Persistent memory for AI agents with semantic search and 12 generic indexed tag fields - name: OCR description: Extract text from PDFs, images, and scanned documents - name: Voice description: Audio transcription and text-to-speech - name: LLMs description: Access 40+ language models through a unified API - name: Search description: Web search, AI answers, and deep research - name: Mail description: Managed inboxes for agent email workflows - name: Media description: Transcript retrieval and captioned media clip generation - name: Legal description: Legal research tools including citation verification - name: Privilege description: Privilege detection for e-discovery and litigation workflows - name: Compute description: Serverless GPU and CPU infrastructure - name: Format description: Document formatting and template rendering (MD/JSON to PDF/DOCX) - name: SuperDoc description: Document conversion and template automation - name: Webhooks description: Webhook endpoint management - name: System description: Public system metadata and discovery endpoints - name: Usage description: Usage reporting and webhook subscriptions - name: Database description: Serverless PostgreSQL databases with instant branching - name: Translation description: Language detection and translation for multilingual legal workflows - name: Skills description: Search and read legal AI skills for agents - name: Agents description: >- Create, manage, and execute AI agents with tool access, sandbox environments, and async run workflows - name: Matters description: Matter-native legal workspaces and orchestration primitives - name: Applications Projects description: Web application project management - name: Applications Deployments description: Web application deployment management - name: Applications Domains description: Custom domain configuration for applications - name: Applications Env Vars description: Environment variable management for applications paths: /vault: post: tags: - Vaults summary: Create a new vault description: >- Creates a new secure vault with dedicated S3 storage and vector search capabilities. Each vault provides isolated document storage with semantic search, OCR processing, and optional GraphRAG knowledge graph features for legal document analysis and discovery. operationId: createVault requestBody: required: true content: application/json: schema: type: object required: - name properties: name: type: string description: Display name for the vault example: Contract Review Archive description: type: string description: Optional description of the vault's purpose example: Repository for all client contract reviews and analysis enableGraph: type: boolean description: >- Enable knowledge graph for entity relationship mapping. Only applies when enableIndexing is true. default: true example: true enableIndexing: type: boolean description: >- Enable vector indexing and search capabilities. Set to false for storage-only vaults. default: true example: true metadata: type: object description: >- Optional metadata to attach to the vault (e.g., { containsPHI: true } for HIPAA compliance tracking) example: containsPHI: true hipaaCompliant: true groupId: type: string description: >- Assign the vault to a vault group for access control. Required when using a group-scoped API key. example: grp_abc123 embeddingModel: type: string description: >- Optional embedding model for this vault. Defaults to casemark/embed-v1. Determines the S3 Vectors index dimension and which model is used at both ingest and search time. The vault is locked to this model after creation — use a re-embed flow to change later. Ignored when enableIndexing is false. Note: `casemark/llama-nemotron-embed-vl-1b-v2` is a deprecated alias for `casemark/embed-v1` (retained for SDK backward compatibility); new integrations should use `casemark/embed-v1` directly. enum: - openai/text-embedding-3-small - openai/text-embedding-3-large - voyage/voyage-3.5 - voyage/voyage-law-2 - cohere/embed-v4.0 - google/gemini-embedding-2 - casemark/embed-v1 - casemark/llama-nemotron-embed-vl-1b-v2 default: casemark/embed-v1 example: casemark/embed-v1 responses: '201': description: Vault created successfully content: application/json: schema: type: object properties: id: type: string description: Unique vault identifier name: type: string description: Vault display name description: type: string description: Vault description filesBucket: type: string description: S3 bucket name for document storage vectorBucket: type: string nullable: true description: >- S3 bucket name for vector embeddings. Null for storage-only vaults. indexName: type: string nullable: true description: Vector search index name. Null for storage-only vaults. enableIndexing: type: boolean description: Whether vector indexing is enabled for this vault region: type: string description: AWS region for storage embeddingProfile: type: object nullable: true description: >- The resolved embedding profile for this vault. Null for storage-only vaults. properties: model: type: string description: Embedding model catalog key provider: type: string description: Embedding provider dimensions: type: integer description: Vector dimension used by this vault createdAt: type: string format: date-time description: Vault creation timestamp example: id: vault_2NqPkJ8xK9LmN3pQ name: Contract Review Archive description: Repository for all client contract reviews and analysis filesBucket: case-vault-acme-legal-vault_2NqPkJ8xK9LmN3pQ vectorBucket: case-vault-acme-legal-vault_2NqPkJ8xK9LmN3pQ-vectors indexName: embeddings enableIndexing: true region: us-east-1 createdAt: '2024-01-15T10:30:00Z' '400': description: Invalid request parameters - missing vault name '401': description: Invalid or missing API key '403': description: API key does not have vault service access '404': description: Organization not found components: securitySchemes: bearerAuth: type: http scheme: bearer bearerFormat: API Key description: API key starting with `sk_case_` ````