Defensible eDiscovery, Forensic Collection and Document Review Support for Law Firms

Forensic eDiscovery is the defensible identification, preservation, collection, processing and review of electronically stored information (ESI) for litigation, arbitration and investigations. It combines digital forensic methodology — sound acquisition, hash verification and chain of custody — with eDiscovery processing such as deduplication, filtering, metadata extraction and review-ready exports, so that evidence is reliable, auditable and capable of withstanding challenge.

Forensic collection preserves data in a sound, repeatable manner before it is processed for review. By imaging or targeting sources correctly, recording hashes and maintaining a clear chain of custody, the resulting dataset is defensible: parties can demonstrate that nothing was altered, that collection was proportionate, and that the material presented in disclosure or production accurately reflects the source.

Yes. We produce Relativity-ready datasets including load files, extracted text, native files, document families and structured metadata fields. We support deduplication, date filtering, keyword searching and custodian-based organisation, and we can normalise short-message and chat data into RSMF for conversational review. We describe these as Relativity-ready and Relativity-compatible workflows; we do not claim to be an official Relativity partner.

Yes. We convert short-message and chat communications — including mobile messaging, Slack and Microsoft Teams — into RSMF (Relativity Short Message Format) so that conversational structure, participants, timestamps and attachments are preserved for review where supported by the source data.

Yes. We extract, process and prepare mobile communications including WhatsApp, SMS, iMessage, Telegram and Signal where technically available, presenting them for review with associated metadata, attachments and conversation context relevant to litigation or investigation.

Yes. We collect and process collaboration-platform data from Slack and Microsoft Teams — messages, channels, direct messages, attachments, timestamps and user information — and prepare it for review, including normalisation into RSMF for short-message review where appropriate.

Metadata analysis examines file-system metadata, document properties, timestamps, authorship indicators and communication metadata to establish context: when files were created or modified, who was involved, and how material was handled. It supports timelines, authenticity questions and review strategy, and can inform witness statements or technical explanations.

Yes. Our workflows are built for high-volume, document-heavy matters. We apply early case assessment, deduplication, de-NISTing, date and keyword filtering and custodian organisation to reduce volumes proportionately before review, helping legal teams control cost and timescale on complex disclosure exercises.

Yes. We support major UK and EU law firms, in-house legal teams, regulatory and corporate investigation practices, and we handle cross-border and multi-jurisdictional collection and disclosure exercises with appropriate attention to data protection and proportionality.

We preserve original data, use forensic imaging or targeted collection as appropriate, record cryptographic hashes, document collection notes and maintain a continuous chain-of-custody record. Our methodology is repeatable and auditable, and we provide clear reporting for lawyers, including technical explanations or witness-statement support where required.