Quinn Emanuel founding partner talks AI

John Quinn, founding partner, discusses a proprietary AI tool, built on Anthropic, that can be used in litigation to prepare expert witness reports, examination outlines, etc.

Key points:

  • Quinn Emanuel Executive Chairman John B. Quinn revealed the firm has built a proprietary in-house AI platform that ingests all discovery documents, testimony and contracts — and can be queried in real time during trial, including while a witness is on the stand.
  • Quinn described using the tool to surface "gems" of cross-examination material mid-testimony: asking the AI for the best evidence that a witness has lied, yielding lines of attack a lawyer might not have considered.
  • The firm's near-term benchmark is AI-generated work product that is "80% or 90% there" — positioning the tool as a force-multiplier for trial lawyers rather than a replacement for human judgement.

John B. Quinn, Executive Chairman and Founding Partner of Quinn Emanuel, has revealed that the firm has developed a proprietary AI platform capable of operating in real time during trial proceedings — including assisting with witness examination on the stand. Speaking on the TBPN show, Quinn described a system that ingests the full corpus of a litigation matter: all documents produced in discovery, all testimony and all relevant contracts, organised into a unified platform lawyers can query live.

The use case Quinn highlighted was striking. Mid-trial, with a witness seated, a litigator can ask the AI: "What's the best evidence that so and so just lied about that?" Quinn acknowledged that many suggestions would be unhelpful or already known — but argued the value lies in the outliers. "There will be a couple of gems in there that you might not have thought of — new lines of attack, and that's extraordinarily powerful," he said.

Quinn framed the firm's ambition in pragmatic terms: the goal is not full AI autonomy but a meaningful reduction in the labour burden on lawyers. "Our goal is to get to a point where the AI yields a work product that's like 80% or 90% there," he said — a threshold that would represent substantial efficiency gains on document-intensive, high-stakes litigation where Quinn Emanuel competes. The comments underscore a broader shift among elite litigation firms toward proprietary, in-house AI development rather than reliance on third-party legal tech platforms.

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