Update README.md

README.md

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 ### Dataset Summary
 
-The Refugee Law Lab supports bulk open-access to Canada legal data to facilitate research and advocacy, focusing on
-federal law and law relating to refugees and other people on the move. Bulk open-access helps avoid asymmetrical 
-access-to-justice and amplification of marginalization that results when commercial actors leverage proprietary 
+The Refugee Law Lab supports bulk open-access to Canada legal data to facilitate research and advocacy. 
+Bulk open-access helps avoid asymmetrical access-to-justice and amplification of marginalization that 
+results when commercial actors leverage proprietary 
 legal datasets for profit -- a particular concern in the border control setting.
 
-This dataset includes the unofficial full text of thousdands of court and tribunal decisions at the federal level. 
+The Canadian Legal Data dataset includes the unofficial full text of thousdands of court and tribunal decisions at the federal level. 
 It can be used for legal analytics (e.g. identifying patterns in legal decision-making), to test ML and NLP tools 
 on a bilingual dataset of Canadian legal materials, and to pretrain language models.
 
@@ -87,12 +87,29 @@ which is the main area of interest of the Lab, operates mostly at a federal leve
 
 #### Initial Data Collection and Normalization
 
-Details (including links to github repos with code) are available via links for the Bulk Legal Data page
+Details (including links to github repos with code) are available via links for the Refugee Law Lab's 
+Bulk Legal Data page.
 
 ### Personal and Sensitive Information
 
-Documents may include personal and sensitive information. All documents have been published or released
-publicly by the relevant court or tribunal.
+Documents may include personal and sensitive information. All documents have been published online or 
+otherwise released publicly by the relevant court or tribunal. While the open court prinple mandates 
+that court (and some tribunal) materials be available to the public, there are privacy risks when these 
+materials become easily and widely available. These privacy risks are particularly acute for marginalized groups, 
+include refugees and other non-citizens whose personal and sensitive information is included in some of the
+documents in this dataset. One mechanism used to try to achieve a balance between the open court principle 
+and privacy is that in publishing the documents in this dataset, the relevant courts and tribunals prohibit 
+search engines from indexing the documents. Users of this data are required to do the same.
+
+### Non-Official Versions
+
+Documents included in this dataset are not the offical versions. For official versions published by 
+the Goverment of Canada, please see the source URLs.
+
+### Non-Affiliation / Endorsement
+
+The reproduction of documents in this dataset was not done in affiliation with, or with the endoresment of 
+the government of Canada.
 
 ## Considerations for Using the Data
 
@@ -110,23 +127,35 @@ publicly by the relevant court or tribunal.
 
 ## Additional Information
 
-### Dataset Curators
-
-Sean Rehaag, Osgoode Hall Law School Professor & Director of the Refugee Law Lab
 
 ### Licensing Information
 
 Creative Commons Attribution 4.0 International (CC BY 4.0) 
 
-NOTE: Users must also comply with upstream licensing for the SCC, FCA & FC data instances.
+NOTE: Users must also comply with upstream licensing for the (https://www.scc-csc.ca/terms-avis/notice-enonce-eng.aspx)[SCC], 
+(https://www.fca-caf.gc.ca/en/pages/important-notices)[FCA] & (https://www.fct-cf.gc.ca/en/pages/important-notices)[FC] data instances, as 
+well as requests on source urls not to allow indexing of the documents by search engines (so do
+not make the data available in other formats or locations that can be indexed by search engines).
+
+### Warranties / Representations
+
+We make no warranties or representations that the data included in this dataset is complete or accurate. Data 
+were obtained through academic research projects, including projects that use automated processes. 
+While we try to make the data as accurate as possible, our methodologies may result in 
+inaccurate or outdated datas. As such, data should be viewed as preliminary information aimed to prompt 
+further research and discussion, rather than as definitive information.
+
+### Dataset Curators
+
+Sean Rehaag, Osgoode Hall Law School Professor & Director of the Refugee Law Lab
 
 ### Citation Information
 
-Sean Rehaag, "Refugee Law Lab: Canadian Legal Data" (2023) online: Huggingface: <https://huggingface.co/datasets/refugee-law-lab/canadian-legal-data>.
+Sean Rehaag, "Refugee Law Lab: Canadian Legal Data" (2023) online: HuggingFace: <https://huggingface.co/datasets/refugee-law-lab/canadian-legal-data>.
 
 ### Acknowledgements
 
 This project draws on research supported by the Social Sciences and Humanities Research Council and the Law Foundation of Ontario. 
 
-The project was inspired in part by the excellent prior work by pile-of-law (Peter Henderson et al, "Pile of Law: Learning 
+The project was inspired in part by the excellent prior work by (https://huggingface.co/datasets/pile-of-law/pile-of-law)[pile-of-law] (Peter Henderson et al, "Pile of Law: Learning 
 Responsible Data Filtering from the Law and a 256GB Open-Source Legal Dataset" (2022), online: arXiv: https://arxiv.org/abs/2207.00220)