We don’t just hand you a tool; we join your team. Every workflow is designed, operated, and validated by our experts

What We Offer

Predictive Coding

Don’t wait for the review to find the answers. Engineer them at ingestion.

Most firms use Predictive Coding as a late-stage review tool. At Dispute Analysis Group, we use it as a front-end force multiplier. By moving training into the Early Case Assessment (ECA) phase, we flip the traditional timeline, providing your team with the most valuable documents before the "official" review even begins.

Our Specialized Workflow:

Intelligence-Led Training in ECA: We don't wait for a linear review to start training. We initiate Predictive Coding models during the Early Case Assessment phase to immediately profile the dataset and identify high-value clusters.
Curated Request-Based Modeling: We don't believe in "one size fits all." We curate specific sets of key documents tailored to each production request, ensuring the model understands the unique nuances of every legal requirement.
GenAI-Enhanced Refinement: We supercharge the training process using Generative AI to analyze and expand on key document sets. This allows us to "teach" the model with higher-quality seeds, resulting in faster stabilization and extreme precision.
Rigorous Process Documentation: Defensibility is built-in, not bolted on. We document every training iteration, seed set selection, and validation metric to provide an absolute audit trail that stands up to judicial scrutiny.

Key Evidence Mining

Discover More. Review Less.

We bypass the "wait-and-see" approach of traditional discovery by surgically isolating key evidence at the start of every engagement. Our experts pair deep investigative experience with a multi-model AI stack to pinpoint the high-value document sets that define case strategy. By mining for critical evidence early, we provide your team with a strategic roadmap before the first document is coded—drastically reducing downstream review volumes and ensuring your strategy is built on facts, not assumptions.

Data Triage

Intelligent Routing for Accelerated Insights.

We transform raw data into an organized, prioritized pipeline. Our triage process uses AI-driven classification to filter out irrelevant noise and surface high-value document types for prioritized review.

Automated Routing: Seamlessly identify and route "complex" data—including audio, images, and foreign languages—for automated translation and transcription.
Strategic Prioritization: Assign priority scores to datasets so your most expensive resources are always focused on the most critical files.
Operational Control: Bridge the gap between collection and analysis with a defensible, documented sorting process.

Deposition Analysis

Multi-Witness Synthesis at Scale.

Move from reading transcripts to making decisions. We provide the technical leverage to synthesize the entire deposition record into actionable narrative reports, ensuring your team is prepared for every follow-up and trial phase.

Large-scale matters require a unified view of the record. Our team leverages advanced Generative AI to bridge the gap between individual depositions and your overall case theory. We identify patterns, contradictions, and key admissions across multiple witnesses, delivering high-level topic summaries and consolidated exhibit trackers. We don't just summarize; we surgically extract directly quoted testimony relevant to your key claims, enabling your team to build narrative reports and exhibit playbooks in a fraction of the traditional time.

Chronology & Narrative Engineering

Build Your Case Faster.

Don’t wait for a months-long review to understand the story. Once key evidence is identified, we deploy Generative AI to systematically reconstruct the timeline of events. We transform raw data into detailed chronologies and structured narrative summaries that serve as the foundation for your case strategy.

The DAG Difference: Operational Governance

Every phase of our service is wrapped in Rigorous Documentation. We provide:

Validation Reports: Statistical proof that the AI performed as expected.
Chain of Custody: Immutable records of data movement and handling.
Process Transparency: Clear, explainable workflows that stand up to judicial and regulatory scrutiny.