Cloud and SaaS Collections

What This Solves

Cloud data is fundamentally different from a folder of printed documents. A Slack message carries sender, recipient, channel, timestamp, edit history, deletion record, reactions, and thread context that a screenshot cannot preserve. A Teams meeting may have a recording, an automated transcript, an in-meeting chat log, and files shared during the call, all linked by the same meeting ID. Collecting cloud ESI by asking custodians to forward emails or manually export chats introduces authenticity questions that opposing counsel in SDNY and EDNY will raise at the earliest opportunity.

NYCF collects cloud and SaaS data directly from the source platform, using authenticated API connections that preserve original metadata in full. The result is a collection that can be traced back to its origin, verified against hash values at every stage, and supported by documentation specific enough to withstand a Daubert challenge or a production completeness dispute. For New York financial services firms operating under FINRA and SEC record-keeping requirements, this level of documentation is also necessary for regulatory compliance, not just litigation defensibility.

The eCloudDiscovery Platform

NYCF's proprietary eCloudDiscovery platform is a forensically sound, secure collection environment built specifically for cloud and SaaS evidence. eCloudDiscovery connects directly to cloud services across email, document storage, collaboration, messaging, and AI applications, collecting all relevant data types while maintaining complete chain of custody and authentication documentation from the moment collection begins.

Every collection session through eCloudDiscovery generates a real-time activity log: which service was accessed, under which credentials, at what time, which filters were applied, what data was returned, and what hash values were calculated on the collected output. That log is immutable and becomes part of the matter record. The platform transfers collected data directly to NYCF's secure infrastructure, eliminating the manual export and re-import steps that create custody gaps in traditional workflows and raise questions from NY Commercial Division judges about collection completeness.

eCloudDiscovery supports targeted, filter-based collection. NYCF scopes a collection by custodian, date range, keyword, file type, folder location, or any combination the matter requires. The platform does not pull everything and leave attorneys to sort it out. It pulls what the scope parameters define, with documentation of those parameters built directly into the collection record. For proportionality arguments under FRCP Rule 26(b)(1), this specificity matters.

Supported Platforms

eCloudDiscovery supports direct-source collection from the platforms most commonly at issue in New York commercial, employment, and regulatory matters.

Microsoft 365

Exchange Online mailboxes including shared mailboxes and mail-enabled distribution groups, Microsoft Teams messages and meeting recordings, SharePoint document libraries and site collections, OneDrive for Business, Viva Engage, and Microsoft To-Do task records. All collections preserve native metadata including thread identifiers, reply chains, edit histories, and meeting attendance records. Large New York law firms and financial institutions running Microsoft 365 tenants are well-covered by eCloudDiscovery's M365 API connectors.

Google Workspace

Gmail including all labels, threads, drafts, and deleted items retained in Vault, Google Drive including Shared Drives and version histories, Google Chat messages and spaces, Google Meet recordings and transcripts, and Google Sites content. Collection is performed through Google Vault and Workspace APIs with audit logging at the account level. New York media companies, technology firms, and startups frequently rely on Google Workspace as their primary collaboration environment.

Slack

Public channels, private channels, direct messages, multi-person direct messages, and Slack Connect external communications. Collection captures message text, timestamps, sender information, edit records, deletion records, file attachments, emoji reactions, and thread parent-child relationships. NYCF collects from both Enterprise Grid and standard workspace deployments. For New York deal teams that used Slack Connect to communicate with counterparties during a transaction, this external workspace coverage is particularly important.

Box

File and folder content, version histories, comments, task records, and collaboration sharing records. Box collections through eCloudDiscovery preserve original file metadata, upload timestamps, contributor identities, and access audit logs available at the organizational level. Box is common among New York legal, media, and healthcare organizations that require granular document permission controls.

Zoom

Meeting recordings (video and audio), automated transcripts, in-meeting chat logs, polling records, and whiteboard content. NYCF collects Zoom evidence through the Zoom API at the account administrator level, preserving recording metadata including participant lists, join and leave times, and meeting IDs. Since 2020, Zoom recordings have become relevant ESI in a wide range of New York commercial disputes, employment matters, and regulatory proceedings.

AI Collaboration Platforms

Enterprise AI systems present an emerging eDiscovery challenge, particularly for New York technology and financial services companies with early AI adoption. NYCF supports collection from ChatGPT Enterprise and Google Gemini (Workspace AI) deployments, capturing conversation histories, prompts, responses, and shared outputs available through enterprise-level administrative access. Collection scope and data availability vary by contract and deployment configuration; NYCF advises counsel on what is collectible and documents any limitations in the collection record so there are no surprises in production.

Mobile Platforms

For custodians using corporate mobile device management environments, NYCF can collect cloud-synced mobile data through platform APIs, including iCloud Drive content, Google Workspace data accessed from mobile devices, and collaboration app data synchronized to cloud accounts. For direct device collections where cloud syncing is insufficient, NYCF's mobile device forensics team handles physical acquisition under the same chain-of-custody standards.

NYCF's Process

Chain of Custody and Forensic Integrity

Every eCloudDiscovery collection produces a Chain of Custody Record documenting the entire lifecycle of the data from source to delivery: who authenticated to the platform, which accounts were accessed, what data was collected, when each step occurred, and what hash values were calculated. This record is structured to support authentication testimony under Federal Rule of Evidence 901(b)(9) for process-authenticated records and to answer the specific questions that SDNY and EDNY judges ask when production completeness is challenged.

NYCF analysts can provide declarations or testimony describing the collection methodology, the authentication steps, the platform-specific evidence of data integrity, and the absence of alterations between collection and production. For complex matters, NYCF prepares a Collection Methodology Report describing the technical process in terms accessible to non-technical counsel and suitable for court submission. NYCF's forensic analysis of the collection process is what it is: a technical record of what was collected and how. The legal conclusions about relevance, privilege, and production obligations remain with counsel throughout.

Targeted Collection, Not Bulk Exports

Many providers default to bulk exports: pull everything from an account, then cull. That approach creates proportionality problems under Rule 26(b)(1), drives up processing costs, and creates custody gaps when large export packages pass through multiple hands before reaching review. NYCF takes a different position. The filter-first approach means that what enters the collection is already within scope. Volume is lower, processing time is shorter, and the collection record is specific enough that counsel can defend it with precision.

For matters where scope is genuinely uncertain, NYCF can perform a targeted sampling collection: pulling a representative set of data to inform culling decisions before committing to full collection. The sample collection is documented the same way as a full production collection, so it can be expanded directly into the full collection if the matter requires it. This approach is particularly useful in early stages of NY Commercial Division matters, where proportionality objections are common and counsel needs data before committing to broad collection obligations.

Deliverables

For each cloud or SaaS collection engagement, NYCF delivers the following:

Connection Authentication Records for each platform accessed, documenting the credentials used, the access level obtained, and the time of authentication. Collection Parameter Documentation listing the filters, custodians, date ranges, and data types in scope for each collection session. Real-Time Activity Logs from eCloudDiscovery for each collection session, capturing every API call and data response. A Chain of Custody Record as a complete custody document from source authentication through transfer confirmation. A Hash Verification Report providing file-level hash values calculated at collection and verified at transfer. A Collection Completion Report listing item counts, volume totals, date range coverage, platform breakdown, and any collection limitations or errors encountered. A Collection Methodology Report as a non-technical description of the collection process suitable for court submission or disclosure to opposing counsel.