Update README.md

README.md

@@ -545,10 +545,9 @@ Also, a listed repository should be deprecated if:
 
 ## Finance
 
+
 **Trading and Investment** 
 - For **more** see [financial-machine-learning](https://github.com/firmai/financial-machine-learning)
-
-
 - [Deep Portfolio](https://github.com/DLColumbia/DL_forFinance) - Deep learning for finance Predict volume of bonds.
 - [AI Trading](https://github.com/borisbanushev/stockpredictionai/blob/master/readme2.md) - Modern AI trading techniques.
 - [Corporate Bonds](https://github.com/ishank011/gs-quantify-bond-prediction) - Predicting the buying and selling volume of the corporate bonds.
@@ -605,30 +604,38 @@ Also, a listed repository should be deprecated if:
 
 <a name="legal-tools"></a>
 #### Tools
-* [LexPredict](https://github.com/LexPredict/lexpredict-contraxsuite ) - Software package and library. 
-* [AI Para-legal](https://github.com/davidawad/lobe) - Lobe is the world's first AI paralegal.
-* [Legal Entity Detection](https://github.com/hockeyjudson/Legal-Entity-Detection/blob/master/Dataset_conv.ipynb) - NER For Legal Documents.
-* [Legal Case Summarisation](https://github.com/Law-AI/summarization) - Implementation of different summarisation algorithms applied to legal case judgements.
-* [Legal Documents Google Scholar](https://github.com/GirrajMaheshwari/Web-scrapping-/blob/master/Google_scholar%2BExtract%2Bcase%2Bdocument.ipynb ) - Using Google scholar to extract cases programatically. 
-* [Chat Bot](https://github.com/akarazeev/LegalTech) - Chat-bot and email notifications.
+- [LexPredict](https://github.com/LexPredict/lexpredict-contraxsuite) - Software package and library.
+- [AI Para-legal](https://github.com/davidawad/lobe) - Lobe is the world's first AI paralegal.
+- [Legal Entity Detection](https://github.com/hockeyjudson/Legal-Entity-Detection/blob/master/Dataset_conv.ipynb) - NER For Legal Documents.
+- [Legal Case Summarisation](https://github.com/Law-AI/summarization) - Implementation of different summarisation algorithms applied to legal case judgements.
+- [Legal Documents Google Scholar](https://github.com/GirrajMaheshwari/Web-scrapping-/blob/master/Google_scholar%2BExtract%2Bcase%2Bdocument.ipynb) - Using Google scholar to extract cases programatically.
+- [Chat Bot](https://github.com/akarazeev/LegalTech) - Chat-bot and email notifications.
+- [Congress API](https://github.com/propublica/congress-api-docs) - ProPublica congress API access. 
+- [Data Generator GDPR](https://github.com/toningega/Data_Generator) - Dummy data generator for GDPR compliance
 
 
 <a name="legal-pr"></a>
 #### Policy and Regulatory
-* [GDPR scores](https://github.com/erickjtorres/AI_LegalDoc_Hackathon) - Predicting GDPR Scores for Legal Documents.
-* [Driving Factors FINRA](https://github.com/siddhantmaharana/text-analysis-on-FINRA-docs) - Identify the driving factors that influence the FINRA arbitration decisions.
-* [Securities Bias Correction](https://github.com/davidsontheath/bias_corrected_estimators/blob/master/bias_corrected_estimators.ipynb ) - Bias-Corrected Estimation of Price Impact in Securities Litigation.
-* [Public Firm to Legal Decision](https://github.com/anshu3769/FirmEmbeddings) - Embed public firms based on their reaction to legal decisions.
+- [GDPR scores](https://github.com/erickjtorres/AI_LegalDoc_Hackathon) - Predicting GDPR Scores for Legal Documents.
+- [Driving Factors FINRA](https://github.com/siddhantmaharana/text-analysis-on-FINRA-docs) - Identify the driving factors that influence the FINRA arbitration decisions.
+- [Securities Bias Correction](https://github.com/davidsontheath/bias_corrected_estimators/blob/master/bias_corrected_estimators.ipynb) - Bias-Corrected Estimation of Price Impact in Securities Litigation.
+- [Public Firm to Legal Decision](https://github.com/anshu3769/FirmEmbeddings) - Embed public firms based on their reaction to legal decisions.
+- [Night Life Regulation](https://github.com/Kevin-McIsaac/Nightlife) - Australian nightlife and its regulation and policing
+- [Comments](https://github.com/ProximaDas/nlp-govt-regulations) - Public comments on government regulations. 
+- [Clustering](https://github.com/philxchen/Clustering-Canadian-regulations) - Clustering Canadian regulations. 
+- [Environment](https://github.com/ds-modules/EEP-147) - Regulation of Energy and the Environment
+- [Risk](https://github.com/vsub21/systemic-risk-dashboard) - Systematic risk of various financial regulations.
+- [FINRA Compliance](https://github.com/raymond180/FINRA_TRACE) - Topic modelling on compliance. 
 
 
 <a name="legal-judicial"></a>
 #### Judicial Applied
-* [Supreme Court Prediction](https://github.com/davidmasse/US-supreme-court-prediction) - Predicting the ideological direction of Supreme Court decisions: ensemble vs. unified case-based model.
-* [Supreme Court Topic Modeling](https://github.com/AccelAI/AI-Law-Minicourse/tree/master/Supreme_Court_Topic_Modeling) - Multiple steps necessary to implement topic modeling on supreme court decisions. 
-* [Judge Opinion](https://github.com/GirrajMaheshwari/Legal-Analytics-project---Court-misclassification) - Using text mining and machine learning to analyze judges’ opinions for a particular concern. 
-* [ML Law Matching](https://github.com/whs2k/GPO-AI) - A machine learning law match maker.
-* [Bert Multi-label Classification](https://github.com/brightmart/sentiment_analysis_fine_grain) - Fine Grained Sentiment Analysis from AI.
-* [Some Computational AI Course](https://www.youtube.com/channel/UC5UHm2J9pbEZmWl97z_0hZw) - Video series Law MIT.
+- [Supreme Court Prediction](https://github.com/davidmasse/US-supreme-court-prediction) - Predicting the ideological direction of Supreme Court decisions: ensemble vs. unified case-based model.
+- [Supreme Court Topic Modeling](https://github.com/AccelAI/AI-Law-Minicourse/tree/master/Supreme_Court_Topic_Modeling) - Multiple steps necessary to implement topic modeling on supreme court decisions.
+- [Judge Opinion](https://github.com/GirrajMaheshwari/Legal-Analytics-project---Court-misclassification) - Using text mining and machine learning to analyze judges’ opinions for a particular concern.
+- [ML Law Matching](https://github.com/whs2k/GPO-AI) - A machine learning law match maker.
+- [Bert Multi-label Classification](https://github.com/brightmart/sentiment_analysis_fine_grain) - Fine Grained Sentiment Analysis from AI.
+- [Some Computational AI Course](https://www.youtube.com/channel/UC5UHm2J9pbEZmWl97z_0hZw) - Video series Law MIT.