Jennifer McNenly
Jennifer McNenly is a librarian with experience in corporate, non-profit and legal environments. As Knowledge Systems Product Architect at Osler, Hoskin & Harcourt LLP Jennifer liaises between the Library, the Knowledge Management group, legal professionals and the Information Services department to develop content, design structure and findability for the firm"s SharePoint intranet. She has extensive experience in the design, usability, and maintenance of the firm"s knowledge management databases, blogs, wikis and current awareness services. She is the firm"s expert on enterprise search, taxonomy and metadata standards. Jennifer also provides legal research support services.
Articles by Jennifer McNenly:
SharePoint and the law firm intranet
Sunday, 31st July 2011
A SharePoint 2007 bilingual intranet has enabled knowledge sharing and collaboration at law firm Osler, Hoskin & Harcourt LLP as each staff member can create and comment on content. Jennifer McNenly explains how this works and looks at the improved features migration to SharePoint 2010 will bring.
SharePoint and the law firm intranet [ABSTRACT]
Sunday, 31st July 2011
A SharePoint 2007 bilingual intranet has enabled knowledge sharing and collaboration at law firm Osler, Hoskin & Harcourt LLP as each staff member can create and comment on content. Jennifer McNenly explains how this works and looks at the improved features migration to SharePoint 2010 will bring.
Community session
11th December 2024
2025 strategic planning; evaluating research reports; The Financial Times, news and AI
5th November 2024
How are information managers getting involved with AI? Navigating privacy, ethics, and intellectual property
- 2025 strategic planning; evaluating research reports; The Financial Times, news and AI
5th November 2024 - All recent Jinfo Subscription content
31st October 2024 - End-user training best practice research
24th October 2024
- Jinfo Community session (TBC) (Community) 23rd January 2025
- Clinic on contracting for AI (Community) 11th December 2024
- Discussing news and AI strategies with the Financial Times (Community) 21st November 2024