Harvey、法律業務の文脈を継承する次世代AI「Harvey II」を発表

Legal work carries history.

A matter or project can run for months. Different lawyers step in, documents change, and earlier decisions shape what happens next.

Yet most legal AI starts over every time you ask it to do something. You give it the documents, explain the matter, tell it what to look for and how you want the answer structured. Then you correct the output until it’s something you’d actually use. The next task starts, and you do much of that setup again.

An agent that starts fresh each time can’t understand the full context of the matter, which limits the complexity of the work it takes on. For the lawyer, that means spending time getting the AI back up to speed before the real work can begin.

Today, we’re introducing Harvey II.

Now, Harvey’s agents are smarter from the start. They begin with more than just what you put in the prompt. They inherit the context of the matter or project they open in, along with Harvey’s memory of your style and preferences.

That changes the ceiling on what you can hand an agent. More substantive legal work can move forward with the context, permissions, and memory already in place.

Agents start with the context they need

What an agent needs to know changes with the work. On a firm matter, that might be who’s staffed, which documents belong to it, which client it’s for, and the permissions and ethical walls that apply. For an in-house deal, it could be the counterparty, whose paper you’re on, and the positions your team has taken before. Until now, lawyers have had to bring all of that to the agent themselves, one upload, one instruction at a time.

Harvey II is built so you don’t have to carry that context over by hand. An agent opens inside the matter or project, with the documents, parties, tasks, permissions, and history of the work already there.

That Space is also where the work moves forward. Tasks can be assigned to a lawyer or an agent. When an agent finishes a first-pass review, the task moves to the specialist who owns the next step, without the work disappearing into another email thread.

For firms, permissions and ethical walls sync directly from existing systems into the Space. Usage and cost stay tied to the same matter or project, so AI spend follows the work.

Agents always carry your team’s instructions and playbooks, but client data never moves from one Space to another. When an agent opens in a Space, it picks up both the context and the boundaries of that matter or project.

Memory makes Harvey more personal

A Space gives Harvey the context and history of the work. Memory gives Harvey a history with you. It learns how you structure a summary, what you want cited, and how you write.

Some of this you tell Harvey directly, and it sticks. The rest it picks up as you work, from your edits and corrections. That memory follows you across Harvey, Word, and Outlook. When an agent takes on work for you, it can use what Harvey already knows about your preferences and patterns. You spend less time repeating instructions or fixing the same things. You can see everything Harvey remembers, change it, or turn it off entirely, and it's never used to train models.

And the more Harvey understands how you work, the more you can trust an agent with substantive legal work. It starts from your preferences and prior work, so what comes back is already closer to something you'd actually send.

The same goes for the way your team works. Nobody in legal starts from a blank page. A firm has the credit agreement it's negotiated a hundred times. An in-house team has its approved fallbacks. Harvey II can work from those templates too, so drafts arrive in the shape your team already uses. Set the headings, numbering, defined terms, and citation style once, and Harvey applies them consistently. The more you use Harvey, the less you have to explain.

For the first time, Harvey has intelligence trained for legal work

Context and memory tell an agent what to do. The model determines how well it does it. Until now, Harvey has relied on general-purpose models. Legal work has always pushed against their limits. Today, that changes with Harvey Tenet, our first model, post-trained end-to-end for legal reasoning.

Harvey Tenet is frontier-level on prominent legal benchmarks, performing on par with the strongest general models at an open-source cost and making it practical to run agents continuously across every matter.

It also lays the groundwork for what comes next: partnering with organizations to build specialized models around their own legal work. Two firms using Harvey will end up with different models and different outputs because their legal work has shaped their models differently.

When Harvey knows the work, you can trust it with more

In practice, this is what changes when an agent doesn’t start from scratch. You come back to an M&A matter in the morning. Harvey has worked through the latest batch of material contracts in the data room overnight and returned a first-pass review in your format, with the findings cited. It surfaced the agreements that need your attention, and opened the next review step for the lawyer who owns it. You didn’t have to rebuild the context, repeat how you want the work done, or route every step yourself.

Harvey II brings the pieces together. Agents open inside Spaces, where the context, history, people, tasks, and permissions for a matter or project stay with the work as it moves between agents and lawyers. Memory carries forward what Harvey has learned about how you work. And legal-specific intelligence lets those agents reason across all of it at significantly lower cost.

The work carries history and context. Your process carries preferences. Harvey II starts with both.

Welcome to the new Harvey.