E-Discovery & Litigation Support

In modern litigation, the data is the case — and the cost. Electronic discovery is where budgets balloon and cases are won or lost, because the volume of email, chat, documents, and cloud data now involved in even a mid-sized dispute is enormous. This is where an AI-native firm has a structural advantage. Our attorney-built agents accelerate review and early case assessment, so we can find the documents that matter, assess the value and risk of a matter early, and produce defensibly — faster and at a fraction of the cost of a traditional linear review. A lawyer remains accountable for every privilege call and every production; the AI does the volume, the attorney does the judgment.

We handle discovery as an integrated part of our litigation practice, and we can also step in as dedicated discovery counsel — negotiating ESI protocols, managing collection and review, and resolving the increasingly technical disputes that arise over data — so lead counsel can focus on strategy.

For law firms and legal departments

We don't compete for your client. We take the workstream you don't want and hand it back finished. We don't appear on the pleadings unless you ask us to, we don't pitch your client on anything, and we don't take the case.

This isn't a capability we added. Our principal attorney served as Managing Partner of a licensed alternative business structure law firm delivering data-driven eDiscovery and co-counsel services to firms and legal departments nationwide, and before that as Product Owner for AI-driven eDiscovery tools — predictive coding, document classification, privilege review, and legal analytics. He has sat on both sides of the ESI protocol: negotiating them as counsel, and building the software that has to satisfy them.

Early case assessment, defined dataset — from $6,500

ESI protocol negotiation — from $4,500

Document review — quoted per custodian or per document after a data assessment

More on how we work with referring counsel: For Counsel.

Representative experience

• Led firm strategy and operations across ESI protocol development, collection strategy, TAR and predictive coding, document review, privilege logging, and production for law firms and corporate legal departments nationwide.
• Directed co-counsel engagements including data-driven early case assessment, discovery strategy, data privacy consulting, and custodian interviews.
• Served as Product Owner for AI-driven eDiscovery products, including predictive coding, document classification, privilege review assistance, and legal analytics — working directly with engineering and data science teams on model evaluation, bias mitigation, and explainability.
• Handled discovery in multidistrict antitrust class action litigation involving millions of documents.

These matters are described for illustration only. Results depend on the specific facts and legal circumstances of each case, and prior results do not guarantee or predict a similar outcome in any future matter. Certain matters were handled by Anand Mathew prior to the founding of Loop Litigation.