diff --git a/configs/config.json b/configs/config.json
index 2542d2a..e385585 100644
--- a/configs/config.json
+++ b/configs/config.json
@@ -13,7 +13,7 @@
         },
         "key_points": {
           "type": "array",
-          "items": {"type": "string"},
+          "items": { "type": "string" },
           "description": "A list of key points or insights from the document"
         }
       },
@@ -31,5 +31,9 @@
   "split": {
     "categories": [],
     "settings": {}
+  },
+  "classify": {
+    "rules": [],
+    "settings": {}
   }
 }
diff --git a/src/extraction_review/config.py b/src/extraction_review/config.py
index ecdc6d1..2d47d4b 100644
--- a/src/extraction_review/config.py
+++ b/src/extraction_review/config.py
@@ -12,7 +12,7 @@ from functools import lru_cache
 from typing import Any, Literal
 
 from json_schema_to_pydantic import create_model
-from pydantic import BaseModel
+from pydantic import BaseModel, Field
 
 logger = logging.getLogger(__name__)
 
@@ -61,6 +61,35 @@ class SplitConfig(BaseModel):
     settings: SplitSettings = SplitSettings()
 
 
+class ClassifyRule(BaseModel):
+    """Classify rule, with type (rule target) and description (rule description)"""
+
+    type: str
+    description: str
+
+
+class ClassifyParsingConfig(BaseModel):
+    """Parsing config for Classify"""
+
+    lang: str = Field(description="two-letter ISO 639 language code", default="en")
+    max_pages: int | None = None
+    target_pages: list[int] | None = None
+
+
+class ClassifySettings(BaseModel):
+    """Extra settings for Classify"""
+
+    mode: Literal["FAST", "MULTIMODAL"] = "FAST"
+    parsing_config: ClassifyParsingConfig = ClassifyParsingConfig()
+
+
+class ClassifyConfig(BaseModel):
+    """Classify configuration, with rules and settings"""
+
+    rules: list[ClassifyRule] = []
+    settings: ClassifySettings = ClassifySettings()
+
+
 class JsonSchema(BaseModel):
     """Pydantic wrapper for a JSON schema loaded via ResourceConfig."""
 
@@ -78,6 +107,7 @@ class Config(BaseModel):
 
     extract: ExtractConfig
     split: SplitConfig = SplitConfig()
+    classify: ClassifyConfig = ClassifyConfig()
 
 
 def _hash_schema(json_schema: dict[str, Any]) -> str: