Legal AI is entering a new phase. The first wave focused largely on what AI could do inside a single application: research a question, analyze a document, draft a response. The next phase will be about how those capabilities connect across the systems where legal work actually happens.
For litigators, that matters because some of the most important context in a matter does not begin in a research or drafting tool. It begins in the evidence.
Documents. Testimony. Facts developed over the course of discovery. The record a lawyer ultimately has to connect to the law and turn into analysis, strategy, and work product they can stand behind. AI should make that process easier.
This week at ILTACON, Thomson Reuters and Everlaw announced plans to integrate Everlaw with CoCounsel Legal. The first planned integration will allow mutual customers to bring Everlaw documents into CoCounsel Legal in bulk, making it easier to use litigation and investigation materials across CoCounsel Legal’s research, analysis, drafting, and workflow capabilities.
For customers, that means less friction between reviewing evidence and doing the legal work that follows.
For us, it is also one more piece of the broader CoCounsel Legal ecosystem we are building: connecting the systems, content, and tools professionals already rely on so they can move through complex legal work with more continuity and less unnecessary handoff.
Everlaw brings an important part of that ecosystem into the picture for litigation: the evidentiary record.
Connecting evidence, context, and legal analysis
A litigator rarely asks a purely abstract legal question. The real question is how the facts, evidence, and applicable law come together: whether a particular document changes the argument, whether testimony is consistent with the rest of the record, or whether the evidence supports the position being put before a court. Carrying that context through the legal workflow is essential to making AI genuinely useful in litigation.
CoCounsel Legal brings together research, analysis, drafting, and other legal workflows 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.
Bringing those worlds closer together can make AI much more useful in the day-to-day practice of law.
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.
Moving from evidence to analysis with less friction
Consider what happens when a litigation team identifies a set of important documents during discovery.
Those materials may already 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 can mean 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 shorten that path. Once Everlaw documents are available in CoCounsel Legal, lawyers can apply CoCounsel Legal’s research, analysis, drafting, and workflow capabilities to those materials, creating a more direct connection between the evidentiary record and the legal work that follows.
It is also exactly the kind of connection we want to keep adding across the CoCounsel Legal ecosystem: bringing more of the places where legal work already happens into a workflow where professionals can research, analyze, draft, and act with the right context around them.
Connected AI still has to meet the standard of legal work
Making more information available to AI cannot mean lowering the standard for what comes out. The lawyer is still responsible for the argument. Still responsible for the citation. Still responsible for understanding whether the evidence supports the conclusion.
That is why verification, transparency, and professional judgment matter so much. At Thomson Reuters, we describe 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 ultimately 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.
Building a broader ecosystem around legal work
Law firms and legal departments have invested in specialized technology for a reason.
Evidence may live in an eDiscovery platform. Documents may live in a document management system. Legal research comes from 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.
That is the direction we are taking with CoCounsel Legal. We are building an ecosystem designed to connect the tools, content, and workflows professionals already depend on, while preserving the context, permissions, controls, and trust required for high-stakes work.
Everlaw is an important addition to that ecosystem because it brings the evidentiary record closer to the research, analysis, and drafting lawyers are already doing in CoCounsel Legal.
And it is one part of a much broader direction.
As we continue expanding the CoCounsel Legal ecosystem, we want professionals to be able to bring more of their work, their context, and the systems they trust into a more connected AI experience.
For customers, that can mean fewer unnecessary handoffs and a more direct path from evidence to insight and work product.
For the industry, it is another signal of where legal AI is headed. The next generation of legal AI will not just be more capable. It will be built to connect the work around it.
