Fileread Feature Highlight: Deep Search Agent

Introducing Fileread's Deep Search Agent: Comprehensive Document Intelligence at Scale

In the complex world of legal discovery and document review, finding the right information quickly can make all the difference. That's why Fileread is excited to showcase Deep Search Agent, a powerful tool that transforms how legal teams search through massive document collections.

Beyond Traditional Search

Wilfred Lai, Product Manager at Fileread, recently demonstrated how Deep Search Agent is revolutionizing document discovery. Unlike conventional search tools that rely on single search methods, Deep Search Agent employs a multi-step, comprehensive approach that combines three powerful search techniques:

• Keyword (DT) Search: Traditional term-based searching

• Metadata Search: Mining document properties and attributes

• Semantic Search: Natural language understanding that captures meaning and context

This triple-threat approach ensures users are not just finding documents that match specific keywords, but truly understanding their document universe.

Scale That Matters

One of the most significant advantages of Deep Search Agent is its capacity. While regular insight topics typically process a few hundred documents, Deep Search Agent can analyze thousands of documents in a single query. In Wilfred's recent demonstration, the tool processed 1,399 documents in approximately eight minutes, a game-changer for large-scale litigation and compliance reviews.

Transparency and Control

What sets Deep Search Agent apart is its transparency. Users can view every step of the search process, understanding exactly how results were generated. Each search step is documented, showing which documents were examined and what search terms were employed. This visibility is crucial for legal teams who need to defend their discovery methods and ensure nothing is missed.

The feature also includes inline citations, allowing reviewers to trace findings back to source documents instantly. Additionally, users can save searches from any step in the process, creating a reproducible research trail that's essential for litigation and regulatory compliance.

In the demonstration, Wilfred ran a complex query identifying communications about health risks associated with opioid prescribing in the public McKinsey Opioid case. The Deep Search Agent successfully navigated through over 3,000 documents, using sophisticated search strategies to pinpoint relevant communications. This level of thoroughness would be virtually impossible with manual review or basic keyword searching.

Deep Search Agent represents the future of legal document discovery, combining AI-powered intelligence with the scale and transparency that legal professionals demand. Ready to transform your document review process? Contact us to learn more about Fileread's Deep Search Agent.