Everlaw and Legora link discovery and drafting in new litigation partnership

Everlaw and Legora have announced a strategic technology partnership that connects their AI-powered litigation tools, so lawyers can draft in Legora while pulling evidence directly from Everlaw. According to Everlaw, the integration is meant to end the fragmentation between drafting, evidence analysis and case strategy.
- Everlaw and Legora announced a strategic technology partnership connecting their AI litigation workflows.
- Lawyers can query, retrieve and cite Everlaw documents, using Deep Dive, from inside Legora's drafting environment.
- Everlaw says the tool handles document sets from a few thousand to tens of millions of documents.
- Citations link back to the Bate-stamped source in Everlaw.
- User permissions carry across both platforms, so Legora users see only documents they are already authorized to view in Everlaw.
Closing the gap between evidence and drafting
Everlaw argues that many generative AI tools for legal work are fragmented. AI-assisted drafting happens in one place, evidence gathering and analysis in another, and case strategy in separate workstreams, with each step walled off from the next.
The new partnership is meant to address that. It combines Legora's collaborative AI drafting and legal work environment with Everlaw's discovery, analysis and Everlaw AI Deep Dive search capabilities. The stated aim is to help teams move from evidence to strategy with greater speed, confidence and precision, across early case assessment, discovery, analysis, research and drafting.
Adrian Parlow, VP of Product at Legora, said litigation attorneys need their AI platform for drafting and legal analysis to be connected to their evidence. In his words, the integration "brings the factual record directly into the drafting and legal analysis process."
What lawyers can do with the integration
Everlaw describes three main capabilities for legal teams:
- Move between discovery and drafting: When working in Legora's Editor, litigators can directly access evidence and analysis surfaced in Everlaw, without toggling between platforms or handling manual exports and imports.
- Combine legal research and document queries: Users can pair Legora's Assistant for legal research with Everlaw AI Deep Dive to query discovery documents, millions at a time, so teams can tackle questions of law and fact together.
- Collaborate in Legora's Portal: Litigation teams and corporate counsel can jointly create work product that relies on Everlaw's AI-powered tools, regardless of the size and complexity of the data set.
How the integration works
Users can access documents stored in Everlaw directly inside Legora's drafting environment. From Legora, they can use tools such as Deep Dive to query, retrieve and cite evidence from their Everlaw document sets, whether those hold a few thousand documents or tens of millions.
Everlaw says this applies to tasks such as drafting witness statements, preparing deposition questioning and composing briefs. Each argument, citation and assertion is tied to a specific document and passage. In one example, a litigator preparing for a key deposition can query millions of documents in real time with Deep Dive, and Legora pulls the relevant information into drafts, each item linked back to the Bate-stamped source in Everlaw.
The integration also maintains user permissions across both platforms. Legora users can access only the documents they are already authorized to view in Everlaw. According to Everlaw, this lets organizations adopt AI-driven workflows without compromising privilege, security or access controls.
What it means for litigation teams
David Shargel, a partner at Bracewell, said the partnership "delivers a seamless, end-to-end workflow." He added that pulling evidence and analysis from Everlaw into Legora's drafting environment lets teams ensure every assertion is grounded in verified evidence.
For litigation teams, the practical promise is less manual transfer of material between systems and AI outputs that stay tied to source documents. Everlaw says the approach helps teams work at large scale while keeping AI outputs grounded in the evidence. The company invites interested firms to request a demo. The source does not give details on pricing or availability.


