Peer to Peer Magazine

P E E R T O P E E R : I L T A ' S Q U A R T E R L Y M A G A Z I N E | F A L L 2 0 1 8 61 commented, and open the post into its own page to read the user comments. If people are tagged in the photo, you can click the photo and their name tags will appear. If multiple photos are embedded in the same post, you can click through the gallery. Another aspect of Hanzo's collection, which we automatically do with sites like Facebook and Twitter: if people are sharing external links, we include these within the scope of capture, so you can click the link and see what is being shared. The external pages are also preserved at capture time, so their content won't update or change as it could on the web. Along with the native format preservation, we also create very presentable PDFs of the pages, gather metadata, and pull videos–which can be easily exported, reviewed and used by case teams at depositions and trial. The collection is comprehensive and designed to meet the highest standards in authenticity and legal defensibility. Hanzo recently launched automated social media investigations, where we crawl the web and find social media evidence belonging to parties, witness and other individuals of interest. We identify a person's sites and highlight potentially relevant content in posts based on search criteria the law firm provides to us. What are you doing once you collect the data and have to review it? After Hanzo has collected the data, our clients have a couple options for review. First, they can use our Viewer application to browse the native format capture (the working replica). This enables you to review the site the same way a person would have browsed it when it was live. You can also run text searches and searches against metadata using our application. Second, we provide load files for document review tools like Relativity, Concordance and Ringtail. The load files contain the complete export: PDFs, metadata, EG extracted text, and videos. It's easy to search for keywords in the posts, comments, and replies – and you can also search against metadata for posts within a certain date range. One big advantage is that we capture on the post level, in addition to collecting the larger timelines. If a Facebook timeline has 100 posts, we get 100 PDFs for the posts (plus a large PDF showing the timeline). This allows the case team to use the posts individually if that's more convenient. When you're looking at the PDF of a Facebook post, you can see the comments and replies expanded in full. What are you doing to deal with emjois and emoticons? We capture them. You can see the emjois and emoticons on the PDF - as well as in the extracted text. We can also make custom metadata fields for the emoji reactions on Facebook if you'd like to pull up a list of users who reacted a certain way to a post. What key elements are collected when metadata is needed? The key elements are the URL of the captured page, the capture timestamp (when EG EG we captured the page), and hash values (of the native format capture, PDF rendition, and extracted text). We also pull metadata straight from the social media page, and the key one for case teams is the timestamp of the post. Can your processing tool extract geolocation data? What other elements can be fielded for review? It's our understanding that you need the API to extract geolocation, but most APIs aren't available right now. However, if geolocation information is on the face of the page, we can pull it and field it in the metadata. We can field many elements for review. The metadata is fielded in the load file, so it's easy to run a search and find the posts you need. Importantly, we pull the unique URL of each post (in addition to the primary account URL) – so you're able to refer to that specific post in court filings. Likewise, we provide metadata for each post. This enables you to search by timestamp and find posts in a specific year, month, day, even hour. Elements we field include the post timestamp, post author, comment author, like author, and with customization we can field many other elements (reaction EG It's easy to search for keywords in the posts, comments, and replies – and you can also search against metadata for posts within a certain date range.

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