A client needed to defensibly process and prepare a large dataset from a proprietary internal software platform for legal review. With no existing parsing tools
A biotechnology company engaged Sandline to support a complex, high-stakes litigation matter requiring defensible document review at scale. With growing volumes of electronically stored information
A multi-national client engaged Sandline to support a sensitive matter in Europe, requiring the defensible collection, analysis, and secure deletion of targeted data. The data
A global manufacturing corporation faced a litigation dispute where key evidence existed across Facebook and Instagram posts, messages, comments, and video-linked content. The challenging nature
An Am Law firm engaged Sandline to support a complex, multijurisdictional matter involving data collection, hosting, and review across both the United Kingdom and the
Client: Leading Labor & Employment Law Firm Services: Digital Forensics & eDiscovery Support Focus Area: Employee Misconduct & Trade Secret Misappropriation A premier labor and
When a client first brought us a custom chat export, we utilized custom scrips and internal processes t to convert undocumented XML data into fully functional RSMF files for review in Everlaw. That success proved feasibility. But the real test came later.
A client faced a large-scale, multiphase review of 336,000 documents and needed an efficient, accurate, and cost-effective approach to meet tight deadlines and uncover key individuals early in the process.
Sandline was engaged by a prominent AM Law 100 firm’s Southwest office to support a high-priority matter under the new premerger notification filing requirements of the Hart-Scott-Rodino (HSR) Act. These fast-paced
engagements focus on defensible, targeted data collections—primarily mailbox and file share data—for antitrust premerger review. This was the first in a series of HSR-related matters Sandline has supported, setting a strong precedent for future engagements with both the firm and their corporate clients.
Faced with a complex, undocumented XML chat format that other vendors struggled with, a client turned to Sandline. Our team quickly identified the key data components and built a custom script to extract, transform, and convert the data into fully rendered RSMF files. Within 24 hours, the files were review-
ready and successfully loaded into Everlaw. The scripted workflow can be used for future projects, providing lasting value.