Harvey, Legora, CoCounsel: What Law Firm AI Tools Mean for Students

Law firm AI has moved past the "some firms are testing ChatGPT" phase.

Students do not need to memorize every vendor. They do need to understand the direction of travel: research, drafting, document review, due diligence, and knowledge management are being rebuilt around AI-assisted workflows.

The names you will hear most often are Harvey, Legora, and CoCounsel. They are not identical, but they sit in the same broad category: professional AI tools designed for legal work.

Harvey

Harvey has become one of the most visible legal AI platforms. In August 2025, Harvey announced a firmwide deployment for Latham & Watkins, saying the platform would be made available across more than 3,600 attorneys globally, along with business professionals who support legal services.

For students, the important point is not the vendor logo. It is the workflow. Harvey described use cases including research, document analysis, and drafting. Those are exactly the categories of work junior lawyers have historically spent large amounts of time doing.

That does not mean juniors disappear. It does mean juniors need to be better at supervising first drafts, checking authority, and turning rough AI output into usable legal work.

Legora

Legora has gained attention through major firm partnerships. In December 2025, White & Case announced a strategic partnership with Legora as its primary legal AI platform. The firm described the partnership as part of a build-and-buy AI strategy, combining outside legal technology with internal tools.

That phrase, build and buy, is worth remembering. Large firms are not only subscribing to AI vendors. They are also building internal assistants, knowledge tools, and workflow systems around their own documents and practices.

As a student, this means the AI setup may vary dramatically by firm. One firm may give every associate access to a central approved tool. Another may have practice-specific systems. Another may be more cautious because of client restrictions.

CoCounsel

Thomson Reuters launched CoCounsel Legal in August 2025, emphasizing legal research, document search, drafting, and agentic workflows grounded in Thomson Reuters legal content, including Westlaw and Practical Law.

That grounding matters because legal hallucinations are not a cosmetic problem. A wrong citation can damage a client, a case, and a lawyer's credibility. Tools connected to trusted legal content are trying to solve a different problem from generic chatbots.

Students should still verify everything. A better source base reduces risk. It does not eliminate professional responsibility.

What the legal market report adds

The 2026 Report on the State of the US Legal Market, published by the Thomson Reuters Institute and Georgetown Law's Center on Ethics and the Legal Profession, frames AI as part of a broader business shift. The report describes strong demand and profit growth, but also rising technology spending, talent costs, and pressure on the hourly billing model.

That is the real story for students.

AI is not only changing tasks. It is putting pressure on how firms price work, train associates, staff matters, and explain value to clients.

How junior work may change

The classic junior associate training path involved doing a lot of first-pass work:

• Pull the cases
• Summarize the documents
• Build the diligence chart
• Draft the first memo
• Compare the contracts
• Create the first issue list

AI can accelerate parts of that. But someone still has to know whether the answer is legally sound, commercially useful, and complete.

The risk is that juniors get fewer repetitions before they are expected to exercise judgment. The opportunity is that juniors who learn to use AI well may get to higher-level analysis sooner.

What to ask in interviews

Do not ask, "Do you use AI?"

Every serious firm has an answer to that now. Ask better questions:

• What tools are approved for client work?
• How are summer associates trained on AI use?
• Are juniors allowed to use AI for research or document review?
• How does the firm check AI output?
• Have staffing models changed in your practice group?
• Are clients giving matter-specific AI instructions?

Those questions show you understand the issue without pretending to be a technology expert.

What students should learn now

Learn the basics of prompting, but do not stop there.

Learn verification. Learn citation checking. Learn confidentiality. Learn when a summary is too shallow. Learn how to ask a senior associate what level of AI use is acceptable on a matter.

The future junior associate is not a person who simply types faster. It is a person who can turn a tool into reliable work product.

That is still lawyering.