Today’s workforce, whether local or remote, are adopting new communications tools every day. DataParser enables firms to capture data from many communication channels including the most widely used platforms such as Slack, Microsoft Teams, Webex, and Zoom. Content is captured directly from the source and chats are threaded to keep conversational context intact. Processed data is sent to the institutional archive for indexing and retention. This ensures that firms can confidently meet regulatory obligations from FINRA, SEC, GDPR, FCA and MiFID II.
17a-4 software assists firms in finding the right information when they don’t quite know where to look. As organizations increasingly adopt a compliance-first culture, a key element is the ability to conduct corporate investigations that monitor, detect, and mitigate (and hopefully prevent) violations of a Company’s Code of Conduct. Using 17a-4 DataParser and PostLog software, firms centralize collaboration data in a secure and searchable repository for investigatory review. Today’s distributed workforce communicates through complex chat and collaboration platforms with links and embedded elements. It is critical for firms to be able to search and see content in context. Companies implement DataParser and PostLog to complete Internal Investigations which require best practices for retention, collection, review, and user auditing.
Enterprises have adopted collaboration to foster communication and fuel productivity. DataParser provides clients with a defensible eDiscovery tool that delivers confidence that collaboration data from the world’s most complex data sources is quickly and defensibly collected and preserved for Early Case Assessment and eDiscovery purposes. Companies leverage DataParser to deliver a purpose-built solution that empowers legal, governance and compliance teams to preserve, collect, analyze and export collaboration data.
Platforms such as Slack, Teams, Webex, and Zoom have become the de facto platforms for Electronic Vehicle engineering, pharmaceutical research, semi-conductor chip design, and other “hard-tech” R&D teams to collaborate. Before it was often difficult for an institution to ‘prove’ their IP. Now, legal teams can analyze ideas and IP emerges directly from research interactions. However, these meetings must be captured and retained with the necessary ‘chain of custody’ that will allow the legal teams to use it in evidence in court. No longer will an engineer have to appear on the stand and verbally describe the IP effort and subject to difficult cross-examination. Now, the entire development process may be laid out based on textual communication and beyond the challenge of opposing counsel.
17a-4 works with high-tech companies in the research space to make sure that, at a minimum, engineering teams’ collaborative content is captured and archived with the necessary metadata for evidence.
This is a famous epigram, but few firms have made much progress in addressing the challenge of knowledge management and content intelligence. With large archival repositories such as Microsoft’s 365 and Google Vault however, it is now possible for firms to use DataParser to capture text-based communication and collaboration data from email, instant messaging, social media, and the web to push that content into a repository. Firms are leveraging very powerful Al/ ML and search technologies from these leading Cloud Service Providers to not only find their institutional knowledge but derive actionable business intelligence from it.
