Removing TLS 1,2 from FormRe docs.

Author: erhopf

articles/cognitive-services/form-recognizer/overview.md

@@ -15,8 +15,6 @@ ms.author: pafarley
 
 # What is Form Recognizer?
 
-[!INCLUDE [TLS 1.2 enforcement](../../../includes/cognitive-services-tls-announcement.md)]
-
 Azure Form Recognizer is a cognitive service that uses machine learning technology to identify and extract text, key/value pairs and table data from form documents. It ingests text from forms and outputs structured data that includes the relationships in the original file. You quickly get accurate results that are tailored to your specific content without heavy manual intervention or extensive data science expertise. Form Recognizer is comprised of custom models, the prebuilt receipt model, and the layout API. You can call Form Recognizer models by using a REST API to reduce complexity and integrate it into your workflow or application.
 
 Form Recognizer is made up of the following services:

articles/cognitive-services/form-recognizer/whats-new.md

@@ -22,31 +22,9 @@ The Form Recognizer service is updated on an ongoing basis. Use this article to
 
 ## March 2020 
 
-### TLS 1.2 enforcement
-
-* TLS 1.2 is now enforced for all HTTP requests to this service. For more information, see [Azure Cognitive Services security](../cognitive-services-security.md).
-
 ### Extraction Enhancements and bug fixes
 
-This release includes extraction enhancements and accuracy improvements, specifically, the capability to label and extract multiple key/value pairs in the same line of text. In addition, we've fixed several bugs, including a fix that allows users to submit a file URL as the source to the [`analyzeForm`](https://westus2.dev.cognitive.microsoft.com/docs/services/form-recognizer-api-v2-preview/operations/AnalyzeWithCustomForm) and [`analyzeLayout`](https://westus2.dev.cognitive.microsoft.com/docs/services/form-recognizer-api-v2-preview/operations/AnalyzeLayoutAsync) APIs. 
-
-
-**Enhancements**
-
-* Added additional logs and telemetry for storage manager, time-to-results, and document complexity 
-* Improved model performance
-* Integrated latest pdfminer release
-* Integrated new read layout OCR engine
-
-**Bug fixes**
-
-* Bug fix: Public version is no longer hard coded into the route
-* Bug fix: Slow blob listings no longer block training 
-* Bug fix: Kestrel unable to process malformed JSON for Analyze requests
-* Bug fix: Get/Delete APIs return errors for non-existent models
-* Bug fix: Isolate currency characters not detected
-* Bug fix: Prediction takes longer than 60 seconds
-* Bug fix: Unable to extract key/value pairs. List index out of range. 
+This release includes extraction enhancements and accuracy improvements, specifically, the capability to label and extract multiple key/value pairs in the same line of text. 
 
 ### Form Recognizer Sample Labeling Tool is now open-source