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Legal Brain

Legal Brain
: How to use it, features, and the business problems it solves

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What is Legal Brain?

A legal-specialized AI agent from Bengo4.com for attorneys and corporate legal departments. Ask in natural language and it searches across statutes, court precedents, specialist books, and guidelines via its proprietary LegalGraph database, returning organized legal issues with links to the underlying sources.

Business problems it solves

About "Legal Brain"

Legal Brain is the name of an AI foundation technology specialized for the legal domain, developed by Bengo4.com, Inc. The official notation is LegalBrain (one word), and the product built on it is the "LegalBrain Agent." The agent launched on May 23, 2025, with legal research as its first function.

The underlying technology, Legal Brain 1.0, is officially described as "an AI foundation technology that comprehensively learns legal data such as statutes, court precedents, guidelines, and specialist books, achieving advanced language understanding specialized for Japanese legal context." The starting point is that it is not a general-purpose large language model tuned for legal work, but something built for the Japanese legal context.

The LegalBrain Agent screen. In response to the question "Can liability for damages based on product liability be directly excluded by contract?", it breaks the answer into two legal issues and lists reference materials in the right pane — a treatise on civil law, a commentary on consumer law, and an article-by-article commentary on the Product Liability Act — each with author, publisher, and publication date

Source: Bengo4.com, Inc. press releases (the diagrams below are from the same source)

200k+Court precedents
3,000+Legal specialist books
10k+Guidelines
1.4M+Legal consultation records

Attacking the assumption that "AI gets things wrong" through citations

What kept AI out of legal work was not accuracy so much as how you verify an answer. When article numbers and case citations come back in a plausible-looking form, you end up researching from scratch to confirm them.

Legal Brain is described as generating answers based only on trustworthy sources, thereby suppressing to the greatest extent possible the hallucinations that were a problem with general-purpose LLMs. The footnote markers at the end of each statement in the screen above, and the reference list in the right pane showing title, author, and publication date, reflect that design. The "research scope 148" indicator shows how many documents the answer was drawn from.

Using general-purpose generative AI for legal research

  • The scope of training data is unknown
  • Citations of statutes and cases cannot be verified
  • You end up researching from scratch anyway
  • No way to tell a hallucination apart

Legal Brain

  • The scope of the data set is published
  • Each statement carries a footnote and reference
  • The number of documents searched is shown
  • Answers are generated only from trustworthy sources

The background the company cites is survey data (November 2024) showing that 54.5% of legal staff name "understaffing" and 52.7% name "sheer volume of work" as their challenges. Research is high in volume yet specialized enough that it is hard to outsource.

The data Bengo4.com has accumulated, turned into a graph

At the core of Legal Brain is a proprietary database called LegalGraph.

On top of a body of statutes and guidelines, it adds court precedent data, legal specialist books, legal consultation records, and information from attorneys, and is built by graphing the relationships between those data. Rather than a search index that merely aggregates documents, it retains the connections between an article and a precedent, or a precedent and its commentary — this is what separates it from ordinary full-text search.

What stands out is that it includes more than 1.4 million legal consultation records. This comes from the legal consultation service Bengo4.com has run for years — not a kind of data a competitor can assemble quickly. Commentary articles from the legal media outlet "BUSINESS LAWYERS" are also included.

Conceptual diagram of LegalGraph. Data such as court precedents, books, guidelines, web content, attorneys, litigation, and legal consultations are connected to each other by lines around a central node labeled Bengo4.com, forming a network graph
Relationships between data are retained as a graph

What happens between the question and the answer

The official architecture diagram makes clear that this is not the kind of product that simply throws a question at an AI and has it write an answer.

Architecture diagram of Legal Brain. (1) The user enters a question in natural language, (2) data is sent from the LegalBrain Agent to Legal Brain. Inside Legal Brain, Legal Graph and the search engine exchange data through (3) nearest-neighbor search, (4) send results to the AI, which (5) returns bullet-point notes and passages from multiple related documents, and (6) these are displayed back in the agent. Information is extracted in advance from the document database (books, statutes, precedents, guidelines) and passed to the search engine

The flow works as follows.

  1. The user enters a question in natural language
  2. That input is sent to Legal Brain
  3. Legal Graph and the search engine exchange data through nearest-neighbor search, narrowing down related documents
  4. The narrowed set of documents is sent to the AI
  5. The AI returns bullet-point notes and passages from multiple related documents
  6. The result is displayed in the agent

Information is extracted in advance from the document database (books, statutes, precedents, guidelines) and handed to the search engine. In other words, the AI does not compose text freely — the structure identifies the documents first, then has the model organize based on them. That ordering is what makes citations possible.

One more thing worth knowing: Legal Brain is not a standalone product but a foundation technology supporting several Bengo4.com services. The official site lists the following as the service lineup built around Legal Brain.

01LegalBrain Agent

The product covered on this page. An integrated AI agent aimed at streamlining complex legal work, launched with legal research as its first function.

02Hanrei Hisho

One of Japan's largest case law search services. It covers 11 legal journals and includes AI-assisted search.

03Bengo4.com LIBRARY / BUSINESS LAWYERS LIBRARY

Research services covering legal books — the former for attorneys, the latter for corporate legal departments. Both support AI full-text search and summarization.

04Chat Legal Consultation

A free 24/7 AI legal consultation chat based on legal consultation data. A consumer-facing service.

An integrated AI legal research tool powered by Legal Brain had already launched on August 30, 2024, with two functions: "extraction and organization of legal issues" and "information gathering." The 2025 agent is an extension of that line.

How to use

  1. Apply for access

    Make an inquiry or apply through the official site. It targets attorneys, law firms, and corporate legal departments, and contracts are made at an organizational level.

  2. Enter your question in natural language

    Type the issue as prose. There is no need to reformulate it into keywords or learn search operators. In the screen shown above, the sentence "Can liability for damages based on product liability be directly excluded by contract?" is entered as-is.

  3. Review the organized legal issues

    The AI extracts the legal issues and presents them structured as bullet points. In the example above, it breaks the question into "whether liability can be limited toward consumers" and "the permissible scope of liability limitation between businesses."

  4. Go to the primary sources through the references

    Each statement carries a footnote, and the right pane lists references with title, author, publisher, and publication date. Checking the primary source here is part of a single unit of work.

  5. Share the results

    Research results can be saved and shared within your team, accumulating as knowledge per matter.

Features

01Research

Extracts relevant legal information across sources from a natural-language question.

  • Natural-language research — Ask in prose, and the AI infers your research intent and extracts relevant information
  • LegalGraph cross-search — Searches statutes, precedents, specialist books, guidelines, consultation records, and commentary by following their relationships
  • Extracting and organizing legal issues — Breaks the question into its constituent issues and structures them as bullet points

02Verify

The design prioritizes putting what is presented into a verifiable state.

  • Explicit citations — Each statement carries a footnote, and references show title, author, and publication date
  • Research scope indicator — Shows how many documents an answer was drawn from
  • Hallucination suppression — Designed to generate answers only from trustworthy sources

03Share

Keeps research from ending as one person's work and retains it as organizational knowledge.

  • Saving and sharing results — Share research output within the team
  • Multi-user access — Designed for use at law firm or legal department level

Pricing

Pricing is not published; it is quoted individually. No amounts appear on the official site, and figures are presented through an inquiry.

CategoryDetails
Pricing modelNot disclosed (individual quote)
Contract unitOrganization (law firms, corporate legal departments)
Target usersAttorneys, law firms, corporate legal departments
LaunchMay 23, 2025 (LegalBrain Agent)
How to applyInquiry via the official site

As of August 2026, the official site does not state amounts or whether a free trial is available. Please confirm directly with the provider when considering adoption.

Adoption and reception

Logos of organizations that have adopted LegalBrain Agent: Anderson Mori & Tomotsune, Mizuho Bank, and Mizuho Securities

Publicly disclosed adopters include Anderson Mori & Tomotsune, Mizuho Bank, and Mizuho Securities — a combination of one of Japan's leading law firms and megabank-affiliated legal departments, showing that adoption has begun in areas with the least tolerance for incorrect answers.

According to the November 11, 2025 announcement, Anderson Mori & Tomotsune verified the tool's usefulness in a trial and then began full-scale use across all attorneys and paralegals. What the trial rated highest was "the answer accuracy and reliability essential to legal practice" — specifically, that hallucinations are suppressed by generating answers only from trustworthy sources, and that citations are explicit enough to make verification easy.

Wataru Shimizu, a partner attorney at the firm, commented: "The assumption that generative AI makes mistakes and cannot be used as a research tool is now a thing of the past."

Going forward, the company is running a parallel proof of concept for multi-agent coordination, and plans to move to a seamless usage environment via Mirai Translate's AI platform.

Legal tech divides by what it makes more efficient. Legal Brain is centered on research — the process of finding out — which is a different scope from products built primarily around contract review.

AspectLegal BrainContract review AICase and literature databases
Primary useLegal research (finding out)Clause checking in contracts (confirming)Searching cases and literature (locating)
InputNatural-language questionContract fileKeywords and filters
OutputBulleted legal issues plus referencesRisk flags and suggested editsA list of matching documents
Handling of sourcesFootnotes and references per statementPoints to the relevant clauseThe documents themselves
Data scopeStatutes, precedents, books, guidelines, consultation records, commentaryTemplates and clauses by contract typeCases and literature
PricingNot disclosed (individual quote)Varies by productVaries by product

In the same research space, Legalscape offers a service built around a legal literature database, where the range of documents covered and the search experience are the main points of comparison. For contract review, LegalForce, OLGA, and LeCHECK apply; because their purpose does not overlap with the "finding out" that Legal Brain handles, they are often used together.

Information on this page is based on what was published on the official site and in press releases from Bengo4.com, Inc. as of August 2026. Please check the official site for the latest specifications and pricing.

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