diff --git a/src/lightning/pytorch/CHANGELOG.md b/src/lightning/pytorch/CHANGELOG.md
index 62f43d57f5d1f..eae21264ad5c9 100644
--- a/src/lightning/pytorch/CHANGELOG.md
+++ b/src/lightning/pytorch/CHANGELOG.md
@@ -8,7 +8,7 @@ The format is based on [Keep a Changelog](http://keepachangelog.com/en/1.0.0/).
 
 ### Added
 
--
+- Allow LightningCLI to use a customized argument parser class ([#20596](https://github.com/Lightning-AI/pytorch-lightning/pull/20596))
 
 
 ### Changed
@@ -19,6 +19,7 @@ The format is based on [Keep a Changelog](http://keepachangelog.com/en/1.0.0/).
 - Added a new `checkpoint_path_prefix` parameter to the MLflow logger which can control the path to where the MLflow artifacts for the model checkpoints are stored ([#20538](https://github.com/Lightning-AI/pytorch-lightning/pull/20538))
 
 
+
 ### Removed
 
 -
diff --git a/src/lightning/pytorch/cli.py b/src/lightning/pytorch/cli.py
index c79f2481c8af4..75a6347c95356 100644
--- a/src/lightning/pytorch/cli.py
+++ b/src/lightning/pytorch/cli.py
@@ -314,6 +314,7 @@ def __init__(
         trainer_defaults: Optional[dict[str, Any]] = None,
         seed_everything_default: Union[bool, int] = True,
         parser_kwargs: Optional[Union[dict[str, Any], dict[str, dict[str, Any]]]] = None,
+        parser_class: type[LightningArgumentParser] = LightningArgumentParser,
         subclass_mode_model: bool = False,
         subclass_mode_data: bool = False,
         args: ArgsType = None,
@@ -367,6 +368,7 @@ def __init__(
         self.trainer_defaults = trainer_defaults or {}
         self.seed_everything_default = seed_everything_default
         self.parser_kwargs = parser_kwargs or {}
+        self.parser_class = parser_class
         self.auto_configure_optimizers = auto_configure_optimizers
 
         self.model_class = model_class
@@ -404,7 +406,7 @@ def _setup_parser_kwargs(self, parser_kwargs: dict[str, Any]) -> tuple[dict[str,
     def init_parser(self, **kwargs: Any) -> LightningArgumentParser:
         """Method that instantiates the argument parser."""
         kwargs.setdefault("dump_header", [f"lightning.pytorch=={pl.__version__}"])
-        parser = LightningArgumentParser(**kwargs)
+        parser = self.parser_class(**kwargs)
         parser.add_argument(
             "-c", "--config", action=ActionConfigFile, help="Path to a configuration file in json or yaml format."
         )