diff --git a/README.md b/README.md
index f6f4e8c570e0..f3f63404b399 100644
--- a/README.md
+++ b/README.md
@@ -41,7 +41,6 @@ Next you may want to read:
 - [**Features**](https://github.com/microsoft/LightGBM/blob/master/docs/Features.rst) and algorithms supported by LightGBM.
 - [**Parameters**](https://github.com/microsoft/LightGBM/blob/master/docs/Parameters.rst) is an exhaustive list of customization you can make.
 - [**Distributed Learning**](https://github.com/microsoft/LightGBM/blob/master/docs/Parallel-Learning-Guide.rst) and [**GPU Learning**](https://github.com/microsoft/LightGBM/blob/master/docs/GPU-Tutorial.rst) can speed up computation.
-- [**Laurae++ interactive documentation**](https://sites.google.com/view/lauraepp/parameters) is a detailed guide for hyperparameters.
 - [**FLAML**](https://www.microsoft.com/en-us/research/project/fast-and-lightweight-automl-for-large-scale-data/articles/flaml-a-fast-and-lightweight-automl-library/) provides automated tuning for LightGBM ([code examples](https://microsoft.github.io/FLAML/docs/Examples/AutoML-for-LightGBM/)).
 - [**Optuna Hyperparameter Tuner**](https://medium.com/optuna/lightgbm-tuner-new-optuna-integration-for-hyperparameter-optimization-8b7095e99258) provides automated tuning for LightGBM hyperparameters ([code examples](https://github.com/optuna/optuna-examples/blob/main/lightgbm/lightgbm_tuner_simple.py)).
 - [**Understanding LightGBM Parameters (and How to Tune Them using Neptune)**](https://neptune.ai/blog/lightgbm-parameters-guide).
diff --git a/docs/FAQ.rst b/docs/FAQ.rst
index 2e0002cb6bc1..31b35e4867d4 100644
--- a/docs/FAQ.rst
+++ b/docs/FAQ.rst
@@ -62,7 +62,7 @@ General LightGBM Questions
 1. Where do I find more details about LightGBM parameters?
 ----------------------------------------------------------
 
-Take a look at `Parameters <./Parameters.rst>`__ and the `Laurae++/Parameters <https://sites.google.com/view/lauraepp/parameters>`__ website.
+Take a look at `Parameters <./Parameters.rst>`__.
 
 2. On datasets with millions of features, training does not start (or starts after a very long time).
 -----------------------------------------------------------------------------------------------------
diff --git a/docs/Parameters.rst b/docs/Parameters.rst
index 329f9c38656e..341cdd487c71 100644
--- a/docs/Parameters.rst
+++ b/docs/Parameters.rst
@@ -14,10 +14,6 @@ This page contains descriptions of all parameters in LightGBM.
 
 - `Parameters Tuning <./Parameters-Tuning.rst>`__
 
-**External Links**
-
-- `Laurae++ Interactive Documentation`_
-
 Parameters Format
 -----------------
 
@@ -1380,5 +1376,3 @@ If the name of data file is ``train.txt``, the query file should be named as ``t
 In this case, LightGBM will load the query file automatically if it exists.
 
 Also, you can include query/group id column in your data file. Please refer to the ``group_column`` `parameter <#group_column>`__ in above.
-
-.. _Laurae++ Interactive Documentation: https://sites.google.com/view/lauraepp/parameters