diff --git a/docs/src/main/paradox/typed/distributed-data.md b/docs/src/main/paradox/typed/distributed-data.md
index e96cad28f13..c22b7c227b2 100644
--- a/docs/src/main/paradox/typed/distributed-data.md
+++ b/docs/src/main/paradox/typed/distributed-data.md
@@ -768,7 +768,7 @@ API documentation of the `Replicator` for details.
 
  * [Strong Eventual Consistency and Conflict-free Replicated Data Types (video)](https://www.youtube.com/watch?v=oyUHd894w18&feature=youtu.be)
 talk by Mark Shapiro
- * [A comprehensive study of Convergent and Commutative Replicated Data Types](https://inria.hal.science/file/index/docid/555588/filename/techreport.pdf)
+ * [A comprehensive study of Convergent and Commutative Replicated Data Types](https://hal.inria.fr/file/index/docid/555588/filename/techreport.pdf)
 paper by Mark Shapiro et. al.
 
 ## Configuration
diff --git a/docs/src/main/paradox/typed/guide/modules.md b/docs/src/main/paradox/typed/guide/modules.md
index 0b3f9b0bb77..c4ff93c8edb 100644
--- a/docs/src/main/paradox/typed/guide/modules.md
+++ b/docs/src/main/paradox/typed/guide/modules.md
@@ -188,7 +188,7 @@ Challenges Projections solve include the following:
 
 * Constructing alternate or aggregate views over an event stream.
 * Propagating an event stream onto another downstream medium such as a Kafka topic.  
-* A simple way of building read-side projections in the context of [Event Sourcing](https://martinfowler.com/eaaDev/EventSourcing.html) and [CQRS system](https://learn.microsoft.com/en-us/previous-versions/msp-n-p/jj591573%28v=pandp.10%29)
+* A simple way of building read-side projections in the context of [Event Sourcing](https://martinfowler.com/eaaDev/EventSourcing.html) and [CQRS system](https://docs.microsoft.com/en-us/previous-versions/msp-n-p/jj591573%28v=pandp.10%29)
 
 
 ### Distributed Data