diff --git a/docarray/documents/legacy/__init__.py b/docarray/documents/legacy/__init__.py
new file mode 100644
index 00000000000..61cb9c485c1
--- /dev/null
+++ b/docarray/documents/legacy/__init__.py
@@ -0,0 +1,3 @@
+from docarray.documents.legacy.legacy_document import LegacyDocument
+
+__all__ = ['LegacyDocument']
diff --git a/docarray/documents/legacy/legacy_document.py b/docarray/documents/legacy/legacy_document.py
new file mode 100644
index 00000000000..e3bd0c3b20c
--- /dev/null
+++ b/docarray/documents/legacy/legacy_document.py
@@ -0,0 +1,44 @@
+from __future__ import annotations
+
+from typing import Any, Dict, Optional
+
+from docarray import BaseDocument, DocumentArray
+from docarray.typing import AnyEmbedding, AnyTensor
+
+
+class LegacyDocument(BaseDocument):
+    """
+    This Document is the LegacyDocument. It follows the same schema as in DocArray v1.
+    It can be useful to start migrating a codebase from v1 to v2.
+
+    Nevertheless, the API is not totally compatible with DocAray v1 `Document`.
+    Indeed, none of the method associated with `Document` are present. Only the schema
+    of the data is similar.
+    .. code-block:: python
+
+        from docarray import DocumentArray
+        from docarray.documents.legacy import LegacyDocument
+        import numpy as np
+
+        doc = LegacyDocument(text='hello')
+        doc.url = 'http://myimg.png'
+        doc.tensor = np.zeros((3, 224, 224))
+        doc.embedding = np.zeros((100, 1))
+
+        doc.tags['price'] = 10
+
+        doc.chunks = DocumentArray[Document]([Document() for _ in range(10)])
+
+        doc.chunks = DocumentArray[Document]([Document() for _ in range(10)])
+
+    """
+
+    tensor: Optional[AnyTensor]
+    chunks: Optional[DocumentArray[LegacyDocument]]
+    matches: Optional[DocumentArray[LegacyDocument]]
+    blob: Optional[bytes]
+    text: Optional[str]
+    url: Optional[str]
+    embedding: Optional[AnyEmbedding]
+    tags: Dict[str, Any] = dict()
+    scores: Optional[Dict[str, Any]]