What is IP eDiscovery?

Intellectual property litigation - patent, trademark, trade secret, and copyright cases - produces some of the most technical and high-volume evidence in civil practice. IP eDiscovery is the process of identifying, preserving, collecting, reviewing, and producing that electronically stored information (ESI) in a defensible way.

What makes IP matters distinct is the type of data involved. Beyond the usual emails and documents, teams often handle source code, engineering and CAD files, lab notebooks, product specifications, version histories, and licensing records. Source code in particular is usually reviewed under strict protective orders in a secured environment.

Common steps include:

• Preservation and legal holds across custodians and systems

• Targeted collection of technical files alongside standard communications

• Search and analytics to isolate documents tied to the invention, mark, or trade secret at issue

• Privilege and confidentiality review, often with heightened protective-order controls

• Production in formats that preserve metadata and technical integrity

Because IP cases often turn on dates of conception, access, and use, building an accurate timeline from the evidence can be decisive. AI-assisted review helps by summarizing dense technical documents, extracting key facts and dates, and prioritizing the records most likely to matter.

For broader context on where AI fits in the review process, see our guide How AI Fits into Modern eDiscovery.

Claira is an AI eDiscovery platform that applies classification, summarization, and fact extraction across large review sets, which can reduce the manual review burden common in document-heavy IP disputes. See how it works.