GDF's In-House Review Platform

What This Solves

Most review platforms charge separately for AI tools, advanced analytics, translation, transcription, and collaboration features. The cost adds up quickly, the budgets are hard to predict, and procurement takes weeks. Legal teams spend more time managing vendor contracts than managing the review itself.

GDF built its own in-house review platform specifically to eliminate that friction. One workspace, one price, every feature included. Your team can configure AI-assisted queues on day one without unlocking a separate module or negotiating an AI addendum.

The Platform: Built for Real Review

GDF's review platform is designed around how litigation support teams actually work: fast prioritization, clear privilege decisions, auditable quality control, and production outputs that opposing counsel and courts accept without dispute. The platform handles standard email and document formats alongside modern messaging data from Slack, Teams, and similar collaboration tools, displaying threaded conversations in their native context rather than flattening them into disconnected individual messages.

All AI functions are explainable and human-controlled. Reviewers see why a document was placed in a particular queue; they can confirm, correct, or override the AI's categorization at any time. The platform generates an audit log of every AI-assisted decision and every human correction, which supports defensibility in court and before regulators. There are no black-box scores and no opaque rankings.

AI-Assisted Review Queues

The platform uses validated, explainable AI to prioritize documents for human review. Rather than asking reviewers to work through a linear queue, the AI identifies the documents most likely to be responsive, most likely to involve privilege, and most likely to require special handling, then routes them accordingly. Reviewers confirm or correct those suggestions, and each correction feeds back into the model to improve subsequent queue accuracy.

Training sets are documented, validation metrics are tracked, and the platform records which model version was active for each review session. That documentation matters when opposing counsel challenges the methodology. GDF can produce complete records of how the AI was configured, trained, and validated for any given matter.

• Responsiveness queues with explained confidence scores
• Privilege and near-privilege routing with human confirmation
• Hot document identification for early case intelligence
• Iterative model refinement based on reviewer feedback
• Validation reports showing precision, recall, and elusion metrics

Privilege and Clawback Workflows

Privilege review is where production disputes most often begin. The platform gives teams a structured workflow for identifying attorney-client communications, work product, and other protected material before production. Privilege logs are built automatically from reviewer decisions, capturing document identifiers, privilege grounds, dates, parties, and a brief description field for each withheld document.

For matters where counsel has entered a Rule 502(d) clawback order, the platform supports that strategy directly. Inadvertently produced materials can be flagged, clawback notices generated, and the affected documents tracked through the return or destruction process. The clawback log becomes part of the matter record, providing clear documentation if the issue comes before the court.

Redaction and Sensitive Data Tools

Redaction in the platform is applied to the rendered document, not to metadata fields, so what the receiving party sees matches what was intended. Redaction reasons are recorded for each applied mark. The platform supports pattern-based automated redaction for categories such as Social Security numbers, financial account numbers, and personal health identifiers, which reviewers then confirm before those documents are cleared for production.

Redaction logs accompany production sets and document every redaction applied, the reviewer who approved it, the reason code, and the date. Those logs are standard practice for productions involving sensitive personal information and for productions where a privilege or confidentiality basis applies.

Modern Data: Messaging, Audio, and Video

Slack channels, Microsoft Teams threads, and similar collaboration tools present a display challenge in traditional review platforms: messages are often extracted as individual files and lose their conversational context. GDF's platform renders modern messaging data in threaded, chronological conversation view, so reviewers see the actual exchange rather than isolated messages that lack context.

Audio and video files are transcribed within the platform. Transcripts are time-coded and searchable, and the original media is preserved and accessible alongside the transcript. This matters in matters involving recorded calls, webinar content, meeting recordings, and voicemail.

Progress Reporting and Collaboration

Project managers and supervising attorneys need current numbers, not end-of-day summaries. The platform provides real-time progress dashboards that show documents reviewed, documents remaining, responsiveness rates, privilege rates, and daily throughput. Team leads can identify bottlenecks by reviewer or by document category without waiting for a status call.

Multiple team members work in the same workspace simultaneously. Comments, questions, and escalation flags are tracked within the platform and remain part of the matter record. There is no need to manage parallel email threads about specific documents.

Our Review Platform Process

Full Feature List: All Included at Flat Rate

Every feature below is available from the moment a workspace is opened. There are no add-on modules, no AI upcharges, and no per-user seat fees that scale unexpectedly with team size.

Defensibility and Audit Trail

Every action in the review platform is logged: document opens, coding decisions, reviewer identity, timestamps, AI queue assignments, human overrides, privilege log entries, redaction applications, and QC checks. That audit trail is retrievable and exportable for any matter.

GDF can produce a complete methodology report for any review showing how the AI was configured and validated, which reviewers handled which documents, what the QC process found, and how privilege decisions were recorded. Courts and regulators have increasingly asked for this level of documentation, and the platform is designed to provide it without additional effort at the time of production.