Legal AI is entering a new phase, and for litigators, that phase begins with the evidence. Thomson Reuters and Everlaw announced plans this week at ILTACON to integrate Everlaw with CoCounsel Legal, with the first planned integration allowing mutual customers to bring Everlaw documents into CoCounsel Legal in bulk for use across its research, analysis, drafting, and workflow capabilities.
The move targets a persistent friction point in litigation: the gap between the evidentiary record and the legal work that follows it. Documents, testimony, and facts developed during discovery often live in one system, while research and drafting happen in another. The integration is designed to shorten that path.
Connecting evidence to legal analysis
Litigators rarely ask purely abstract legal questions. The real work involves determining whether a document changes the argument, whether testimony is consistent with the record, or whether the evidence supports a position before a court. Carrying that context through the workflow is essential to making AI genuinely useful in litigation, according to Emily Colbert, head of CoCounsel Litigation at Thomson Reuters.
"By reducing the need to manually move documents between systems, we can help lawyers spend less time on those handoffs and get to the substantive legal work faster," Colbert said.
CoCounsel Legal already brings together research, analysis, and drafting with authoritative content from Westlaw and Practical Law. But in litigation, authoritative legal information is only one part of the picture. The evidentiary record matters just as much, and Everlaw brings that piece into the ecosystem.
Reducing handoffs in the legal workflow
The practical problem is familiar to any litigation team that has identified a set of important documents during discovery. Those materials may have been collected, reviewed, organized, and understood within an eDiscovery platform, but when the team moves into other parts of the legal workflow, that context does not always move with them.
That typically means exporting documents, uploading them into another environment, and reconstructing parts of the matter before the lawyer can move forward. Every handoff creates friction. The planned Everlaw integration is intended to eliminate that step, letting lawyers apply CoCounsel Legal's capabilities directly to the materials already in Everlaw.
Maintaining professional standards
Making more information available to AI does not lower the standard for what comes out. The lawyer remains responsible for the argument, the citation, and understanding whether the evidence supports the conclusion. Thomson Reuters describes this standard as Fiduciary-Grade AI: AI designed for high-stakes professional work, grounded in authoritative information and built so professionals can review, verify, and stand behind the work it helps produce.
"Connecting more of the matter into that workflow should strengthen the lawyer's ability to exercise judgment, not remove the lawyer from the process," Colbert said.
Law firms and legal departments have invested in specialized technology for a reason. Evidence may live in an eDiscovery platform, documents in a document management system, and research in trusted legal sources. Work product may move through several systems before it is complete. AI is not going to make that ecosystem disappear; the opportunity is to make it work together better.
Why this matters for legal professionals
For litigators and litigation support teams, the integration addresses a concrete pain point: the time lost moving documents between systems and reconstructing context that should carry through the matter. If the integration delivers as planned, teams can move from evidence to analysis to work product with fewer manual steps. That does not replace professional judgment, but it removes the mechanical overhead that currently consumes billable time. The broader signal is directional: legal AI is being built to connect with the systems where work actually happens, not just to function as a standalone research tool.
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