In a noteworthy development, AJ Shankar, CEO and founder of e-discovery company Everlaw, took to the stage at the annual Everlaw Summit in San Francisco to announce the upcoming general availability of Deep Dive, a new AI feature integrated into the company’s platform. This announcement follows a successful eight-month beta testing phase and positions Deep Dive for full release before the end of the year.
During his keynote address on October 22, Shankar underscored Deep Dive’s capability to handle complex, natural language queries across vast document collections, including terabytes of data spanning diverse file formats. “Deep Dive empowers legal teams to interrogate entire document corpuses from the outset, expediting insights and strategic fact-finding throughout the lifecycle of a legal matter,” Shankar stated in a press release.
Deep Dive’s Design and Functionality
Shankar emphasized the tool’s design, which minimizes potential inaccuracies by limiting its search to the document corpus rather than relying on embedded knowledge. Answers are ranked by confidence levels and are supported by factual references. When a query lacks sufficient evidence within the documents, the system explicitly states its inability to generate a reliable response.
“Ask an LLM why the sky is blue, and it will use its embedded knowledge to answer,” Shankar explained. “That’s not helpful when making an argument based on hard evidence from your discovery universe. Deep Dive anchors answers to specific facts within their corpus, providing users with actionable intelligence.”
AI Pricing Restructuring
In conjunction with the Deep Dive announcement, Everlaw also unveiled significant changes to its AI pricing model. Starting with the company’s October update, three core AI features—Review Assistant for single documents, Writing Assistant in Story Builder, and Deposition Analyzer—will be included in the core per-gigabyte rate at no additional charge. This marks a departure from the previous credit-based system.
Despite incorporating these features, Everlaw is not increasing its per-gigabyte pricing. Additional enhancements include a more than 40% price reduction for batch coding suggestions, one of Everlaw’s most popular AI actions. A unified contract system will also be introduced, allowing customers streamlined access to various functionalities and AI credits under a single agreement.
Real-World Applications and Beta Tester Feedback
Beta testers at the summit shared their experiences, highlighting Deep Dive’s practical applications across the litigation lifecycle. Julie Brown, director of practice management at Vorys, praised the tool’s ease of implementation and intuitive design. She outlined its utility in investigations, quality control, and deposition preparation. In one instance, her team used Deep Dive on a 2 million-document collection with a tight deadline, employing the tool to identify potentially overlooked documents.
Steve Delaney, director of litigation support at Benesh, described a systematic approach to implementing AI coding suggestions, emphasizing the competitive advantage for firms adopting AI tools. Meanwhile, Ed Valio from Geico recounted how his team leveraged Deep Dive to evaluate tens of thousands of contracts swiftly, isolating critical documents and associated email traffic for context.
Deep Dive’s Pricing Model
Deep Dive will function as a batch feature with a one-time per-gigabyte ingestion fee, offering unlimited queries for the duration of a case. Shankar highlighted that this pricing model allows customers to control AI tool deployment according to their needs.
Currently, over 250 customers utilize Everlaw’s suite of generative AI features, including federal clients and participants in the Everlaw for Good program.
Future Innovations
The keynote also provided a glimpse into Workflow Builder, an upcoming tool designed to help legal teams construct and execute complex workflows. While still in early development, this tool will enable users to orchestrate document flow with automated triggers and approvals.
Throughout his presentation, Shankar stressed Everlaw’s commitment to responsible AI development, including data protection, minimizing hallucinations, and extensive beta testing. The company’s Value AI team remains available to assist customers with AI adoption challenges.
“Deep Dive is best used as one of many powerful tools in the Everlaw platform,” Shankar concluded, citing its integration with other features like Coding Suggestions and Story Builder as integral to driving successful legal outcomes.
Note: This article is inspired by content from https://www.lawnext.com/2025/11/everlaw-announces-general-availability-of-ai-deep-dive-as-well-as-major-pricing-changes-at-annual-summit.html. It has been rephrased for originality. Images are credited to the original source.