What Kind of Organization Is an AI Native Law Firm?

Hello, I'm Noriaki Asato, Representative Attorney at LegalAgent.

At LegalAgent, we provide corporate legal services in which generative AI and attorneys work together.

Legal Agent: A Law Firm for the Age of Generative AI

The Difference Between Using Tools and Being an AI Native Law Firm

In day-to-day legal practice, more and more law firms and legal departments are using generative AI. It is being tried in a wide range of everyday tasks, such as summarizing contracts, checking the meaning of clauses, and drafting revised wording or answers to legal consultations. These efforts are meaningful as a first step toward reducing the workload.

That said, I think there is a large gap between using generative AI as a tool and running an organization as an AI Native Law Firm. To grasp that difference, we first need to return to the starting point: what we are aiming for when we take on requests in corporate legal work.

Delivering Value and the Role of Judgment in Corporate Legal Work

While fulfilling the mission and duties set out in the Attorney Act is the fundamental premise, what we aim for in corporate legal work is to support our clients' business growth and increase their value. We review contracts and answer consultations. Preparing comments for negotiations and legal opinions is also work we do so that clients can move their business forward.

In corporate legal practice, there are many situations in which simply conveying the interpretation of laws or formal correctness is not enough. Legal advice only comes to life when it takes into account whether, based on the answer given, the business division can take the next practical step, management can make an appropriate decision, and the business can grow while avoiding unnecessary losses.

For example, in a contract review, merely pointing out that "this clause carries a risk" cannot be said to give sufficient material for a business decision. How realistic is that risk in practice? Is it within an acceptable range in light of the size of the transaction and the expected profit margin? How far should terms be negotiated, considering the relationship with the counterparty? A law firm's advice gains force only when it goes this far in organizing the issues.

Legal work also has the role of figuring out how to conduct business lawfully. Preventing situations that must be avoided, such as violations of law or excessive losses, is a matter of course, but at the same time it is important to sort out what can be accepted and what should be avoided, and to support companies so that they can make decisions toward growth on their own responsibility.

From this premise, the picture of an AI Native Law Firm is not limited to a firm that simply runs AI tools for individual tasks. It refers to working backward from the purpose of supporting clients' business decisions and fundamentally rethinking the law firm's workflows, organizational structure and the way it supports decision-making. We are rethinking how attorneys use their time, and how we are organized, in order to deliver advice that helps clients make decisions.

Building a Foundation That Integrates AI Into All of Our Work

At LegalAgent, as part of our efforts to support day-to-day work, we have developed in-house an agent that runs in the Word environment.

Word AI Agent Specialized for Legal Work

What we put our energy into is, more than providing a standalone tool, using AI as a foundation that supports the law firm's internal work. We receive a request, review the materials to understand the business background, and deliver the work in a form on which the client can base a decision. Providing this whole flow quickly and reliably is what leads to supporting clients' growth.

From the outside, a law firm's work may look as if attorneys are simply reading contracts and marking them up in red. In reality, however, a great deal of checking work is piled up. Understanding the request, checking the materials received and past versions, understanding the business, researching laws and case law, checking tracked changes, inferring the counterparty's intentions, writing explanations for internal use and comments for the counterparty separately, and finishing the work to a level an attorney can take responsibility for providing. Merely touching a tool sporadically in the middle of this flow amounts only to having part of the work done on your behalf.

In an AI Native Law Firm, AI is built into the process itself, from intake of a matter through final delivery. Taking contract review as an example, AI reads the target contract, past revised versions, and the accumulated body of similar matters that falls within the scope of permitted use and confidentiality obligations. It then presents the issues to examine and draft revised wording. It writes the reply to the counterparty and the internal issues memo separately, and also lists additional matters to confirm. The attorney checks the draft against the source materials and the law, and makes the final judgment based on the business environment the company is in, the history of negotiations with the counterparty, and its risk tolerance. Only when the process is designed this far does AI go beyond being a tool and function as the operational foundation of a law firm.

The role we expect of AI is not limited to shortening working time. It is about keeping the time spent on preparatory work down so that attorneys secure time to think deeply about the client's business policy and transactional priorities. Without this perspective, the idea of an AI Native Law Firm would end up confined to a discussion of superficial efficiency.

An Organizational Structure That Separates Preparatory Work From Decision-Making

Traditional law firms have generally adopted a pyramid-shaped organizational structure. Associate attorneys and staff are placed under a small number of partner attorneys; staff and junior attorneys do the research and first drafts, and experienced attorneys review them in layers before submission to the client. This model has long played a role in training junior attorneys and in quality control.

However, this structure also tends to make work heavy. For work that calls for practical advice in a short period, such as contract review and everyday legal consultations, it may not match the speed of corporate decision-making. As the number of people involved increases, the cost burden on clients has also tended to grow.

At an AI Native Law Firm, we aim to bring this structure closer to an inverted pyramid. It is a structure in which AI handles large amounts of advance preparation and information organization, and attorneys concentrate on sophisticated judgment based on those outputs. Instead of several people working in sequence, AI reads the contract and the permitted past materials and prepares draft issues and wording, and an experienced attorney carefully checks the content and finishes it into its final form. Of course, AI output is not always in order, and careful verification by an attorney is a prerequisite.

Under this structure, the attorney's role shifts its center of gravity from writing drafts from scratch to scrutinizing content and making practical judgments. The attorney compares the draft presented by AI with the source materials and the law, and determines whether any parts do not fit the realities of practice, which terms should be accepted and which cannot be conceded, and in what wording things should be conveyed to the counterparty. We aim to devote attorneys' time to work in which they use their expertise to make judgments.

Practical Decision-Making Support From Outside Attorneys

In legal outsourcing, in addition to routine work, responses that take the business background into account are also needed. What has real meaning is for an outside attorney to have a sense close to that of an in-house legal staff member and to support the final decision after understanding the business background, the company's internal decision criteria and the history of past matters.

We do not merely reduce the workload temporarily; we create a structure in which legal services can be used on an ongoing basis. The aim is a state in which a company, without taking on large fixed costs, can use the legal functions it needs as a variable cost while continuing to make stable decisions. Even for a company at a growth stage where it is difficult to keep dedicated legal staff in place at all times, if an outside attorney can take on a role close to that of in-house legal, the company can flexibly secure the legal support it needs for business expansion.

This approach is particularly well suited to growth companies in an expansion phase. As fundraising, organizational expansion, business alliances and the like progress, legal issues increase rapidly, but maintaining a large dedicated organization from the outset is a burden in terms of cost and recruitment. A structure in which outside attorneys support decision-making with an understanding of the business context has great advantages.

For example, in reviewing a service agreement, simply saying across the board that "a cap on damages should be set" cannot be called sufficient advice. Considering the transaction amount, the expected profit, the relationship with the counterparty and the degree of impact on the business as a whole, we present specific options suited to the individual case, such as "In this matter, a policy of capping liability at an amount equivalent to the contract price is realistic" or "However, losses relating to leaks of personal information require a separate internal decision." The final decision is the company's own, but to assemble the material for reaching it, it is important for the outside attorney to immerse themselves in the client's actual circumstances.

AI supports this kind of understanding of context. It refers to past contracts, internal rules, past consultation records and so on, and quickly presents material for examination tailored to the current matter. Based on that material, the attorney puts together advice suited to the company's actual situation. We want to use the materials prepared by AI so that, even from the outside, we can understand the company's circumstances concretely.

Developing People and Sharing an Operational Foundation

At an AI Native Law Firm, the approach to hiring and in-house training also differs from the past. In law firms of the past, junior attorneys acquired practical skills by slogging through large amounts of literature research, first drafts and first-pass contract reviews, and receiving corrections from senior attorneys. In an environment where AI can handle much of the first drafting and issue spotting, the emphasis in the skills required of attorneys also changes.

What matters is the ability to spot, among the issues AI presents, the points that do not fit practice; to decide, in light of the negotiating relationship with the counterparty, which clauses to deliberately leave untouched; and to accurately determine which matters should be left to management decisions. If individual attorneys merely use AI in an ad hoc way, the standard of the organization as a whole will not be consistent. It is necessary to share the firm's decision criteria, checklists and recommended ways of expression, and to find ways to reflect them in how AI is used.

By spreading common standards throughout the firm, it becomes possible to design a system that helps less experienced attorneys get up to speed early and keeps down the burden on the attorneys responsible for review. Of course, continuous feedback on AI output and rigorous human verification are indispensable. Welcoming talented people while also providing an operational foundation that lets them carry out their work effectively will be an important element for law firms going forward.

At LegalAgent, through collaboration between AI agents and attorneys, we are renewing the way contract review and legal consultations are done, and working toward becoming an AI Native Law Firm that contributes to our clients' business growth. We also welcome consultations on how to organize your in-house legal structure and how to work with outside counsel, via the link below.

Legal Agent: A Law Firm for the Age of Generative AI

Frequently asked questions

What kind of law firm is an AI Native Law Firm?

It is a law firm that has fundamentally rethought its workflows, organizational structure and approach to decision support. Rather than simply running AI tools on individual tasks, it builds AI into the process itself, from case intake through final delivery. The aim is a structure in which AI handles extensive advance preparation and information organization, while experienced attorneys verify that output against the source materials and statutes and concentrate on sophisticated judgment.

How does it differ from the pyramid-shaped organization of traditional law firms?

The difference is that it aims to shift to an inverted pyramid. In the traditional pyramid, junior attorneys and staff carried out research and first drafts, with checks layered on top, whereas in an AI Native Law Firm, AI handles extensive advance preparation and information organization. Instead of several people working in sequence, the structure lets attorneys concentrate on scrutinizing the content and making practical judgments.

Are revised contract drafts prepared by AI delivered to clients as they are?

They are delivered only after verification by an attorney. AI output is not always complete, so careful verification by an attorney is a prerequisite. The attorney checks the draft presented by AI against the source materials and statutes, examines whether any parts do not fit practice in light of the company's business environment, the history of negotiations with the counterparty and its risk tolerance, and makes the final judgment before delivery.