Reveal Expands Onna to Capture ChatGPT and Gemini Data for E‑Discovery

Why It Matters

The ability to collect and preserve AI‑generated content addresses a critical gap in current e‑discovery practice. As generative AI tools become routine in drafting contracts, internal communications, and marketing materials, the volume of AI‑originated data poised for litigation is set to explode. Without dedicated connectors, legal teams risk missing key evidence, leading to spoliation risks and costly delays. Reveal’s integrated approach also raises the bar for the LegalTech market, pressuring competitors to broaden their data source coverage. The move could accelerate industry standards around AI evidence handling, prompting courts and regulators to issue clearer guidance on the admissibility and preservation of machine‑generated outputs.

Key Takeaways

• Onna now captures content from ChatGPT and Gemini, the first major e‑discovery connectors for these AI models
• Preservation tools for collaboration apps like Miro will be added to Reveal Hold later this year
• Reveal serves over 4,000 legal teams, including Am Law 200 firms and Fortune 500 companies
• Integration of Onna, Reveal Hold, and Logikcull creates a single workflow for AI data from hold to production
• CEO Eric Harmon highlighted AI‑generated content as a "ticking time bomb" for legal teams

Pulse Analysis

Reveal’s expansion of Onna reflects a decisive moment where AI‑generated data transitions from a novelty to a core evidentiary source. Historically, e‑discovery platforms have evolved by adding connectors for emerging communication tools—think Slack, Teams, and Zoom. The current wave mirrors that pattern, but the stakes are higher because AI output can be replicated, edited, and embedded across multiple systems, complicating provenance and authenticity.

By bundling collection, hold, and review into a unified suite, Reveal not only solves a technical problem but also offers a strategic advantage: reduced vendor management overhead and faster response times to preservation notices. This integrated model could become a new benchmark, especially for large enterprises that cannot afford fragmented workflows. Competitors that continue to rely on point solutions may find themselves losing market share unless they accelerate similar integrations.

Looking forward, the real test will be how courts treat AI‑generated evidence. If judicial opinions begin to require rigorous chain‑of‑custody documentation for AI outputs, platforms like Reveal will be well‑positioned to meet those demands. Conversely, if regulatory guidance lags, early adopters may face uncertainty about compliance. Either way, Reveal’s proactive stance signals that the LegalTech industry is moving from reactive patchwork to a forward‑looking, AI‑centric architecture, setting the pace for the next generation of discovery solutions.