Japan
Information uploaded as at July 2026
AT A GLANCE
Japan is taking a cautious approach to AI integration across its justice and law enforcement systems, with far more advanced adoption in policing than in prosecution or the courts. Law enforcement uses AI extensively for operational support and predictive purposes, including facial recognition matched against a database of arrested individuals, the Crime Nabi platform for predictive patrol routing, AI screening of suspicious financial transactions, AI-assisted identification of ‘tokuryu’ crime-group leaders through social media scanning, and pilots of AI-generated composite sketches, behaviour-detection cameras, and disaster-response drones. By contrast, there are no reported cases of prosecutors, defence counsel, or victims using AI, and the courts have gone no further than research sessions trialling generative AI tools such as Gemini and NotebookLM for document summarisation in civil cases, with a clear consensus that AI must not be used in judicial decision-making.
There is no national law expressly regulating the use of AI in criminal proceedings; instead, existing general frameworks apply, including the Code of Criminal Procedure, the Act on the Protection of Personal Information (APPI), and the Constitution of Japan. Japan has, however, enacted the AI Promotion Act, its first dedicated AI statute, alongside a national AI Basic Plan and non-binding cross-sector guidelines, establishing institutional architecture that could support future sector-specific guidance for criminal justice actors, though no such guidance currently exists.
USE
As at July 2026, the use of AI in criminal proceedings in Japan is relatively limited. Despite the strong adoption and piloting of AI in Japanese law enforcement, the strategy towards implementing it within the judiciary reflects a cautious approach.
Law enforcement
Operational support
Tokyo’s Metropolitan Police Department is developing a generative AI system to automatically transcribe audio from victim consultations and produce written summaries to help officers respond more swiftly to stalking cases before they escalate into serious crimes. Due to the large volumes of consultations police handle daily, the aim of the AI system is to free up time and personnel that can then be redirected towards protecting victims of stalking and domestic violence. This initiative comes amid a worsening crisis in stalking cases in Japan, with police investigating a record 3,717 cases in 2025, the highest number since anti-stalking legislation was introduced in 2000.
Predictive analytics
‘Crime Nabi’ is an AI crime-prediction platform developed by a Tokyo-based startup, Singular Perturbations Inc. It provides forecasts of when and where criminal offences are likely to occur based on historical crime data (time, place, weather, and geographical conditions), subsequently producing optimised patrol routes for local authorities. The software’s machine learning algorithms recognise these patterns, adapting them to real-time data to create up-to-date risk assessments. The Japanese government reported that simulations run by Crime Nabi revealed that the system was over 50% more effective than conventional methods at covering locations where crimes are committed.
As at July 2026, Crime Nabi is yet to be adopted by the National Police Agency and instead works within local levels of enforcement and community groups, offering strategic guidance in patrolling. The platform’s founder, Dr Mami Kajita, has noted that the widespread implementation of the crime prediction software in Japan has been challenging due to the country maintaining one of the world’s lowest crime rates, making it difficult to justify allocating government funding to such services.
The Kanagawa Prefectural Police undertook feasibility studies from 2018 onwards on the deployment of a deep-learning-based predictive policing system in advance of the 2020 Tokyo Olympic Games. According to reports, the system would employ a deep learning approach in which AI autonomously analyses large volumes of data to determine whether offences are connected, assesses when and where they occurred, and uncovers criminal patterns that can guide more strategic resource allocation by law enforcement. As at July 2026, however, there have been no public reports of its effect or continued use.
Data review and analysis
The National Police Agency has operated a facial recognition system since March 2020 that compares facial images obtained from surveillance cameras and social media against a database of approximately 10 million facial images of individuals previously arrested. The system was publicly announced in September 2020 following an initial six-month trial. According to National Police Agency officials, the use of the system is limited to criminal investigations within the scope of the law, and facial images unrelated to potential cases are discarded. Furthermore, the National Public Safety Commission, which guarantees the neutrality of the police system, governs the access and use of the image database, which is handled in the same manner as fingerprints and DNA evidence.
Research within the Japanese legal community has reported that the accuracy of facial recognition decreases significantly when subjects wear face masks, with error rates exceeding 10%. The use of facial recognition technology in law enforcement has also attracted criticism from the Japan Federation of Bar Associations (日本弁護士連合会, JFBA) and other commentators. They have warned that these systems might infringe privacy rights and even lead to a so-called ‘surveillance society’ if they are deployed without clear statutory boundaries and transparent safeguards.
In August 2025, the National Police Agency announced it would use AI to identify leaders of ‘tokuryu’ (anonymous crime groups), which operate almost exclusively online to recruit individuals via social media posts that offer ‘dark’ part-time jobs. Until 2024, the Tokyo police had identified suspicious posts manually by providing a warning message under the post in question that it may contain inappropriate content soliciting people who are prepared to do illicit part-time jobs. With the implementation of AI scanning for suspicious posts, the number of warnings made between August and November in 2025 was 18,500, more than double the approximate 8,800 warnings made in the entirety of 2024.
These advancements are part of the National Police Agency’s larger goal to disrupt the masterminds of the tokuryu gangs. By using AI to analyse existing reports that include the instructions given in multiple crimes by the same group, the Agency believes it will be able to map and categorise the communication and leadership structures of these organisations. In 2025, the NPA’s budget request contained 1.441 billion yen (USD$ 9.8 million) for countermeasures against tokuryu, in response to the need to better identify the higher-ups and masterminds of these gangs, as only 9% of the 9,300 members identified in fraud and other crimes throughout 2024 reflected this status.
The Japan Financial Intelligence Center, a specialised unit within the National Police Agency responsible for financial intelligence and anti‑money laundering, uses AI assistance to screen and prioritise suspicious transactions. The use of AI is intended to support the processing of large volumes of suspicious transaction reports submitted each year by financial institutions and other designated reporting entities. Following pilot programmes launched in 2019, the Center began full‑scale operation of its system in March 2022. The system uses machine learning on historical suspicious transactions and prior analytical outcomes to rank incoming reports based on how likely they are to be criminally relevant. This allows analysts to prioritise those transactions that have been flagged as highest risk.
Japanese police in Aichi Prefecture, in collaboration with the University of Human Environments (a private university based in Aichi Prefecture) and NTT Data Group Corp (a leading Japanese IT and digital services company), developed an AI system capable of generating composite drawings of criminal suspects, with the goal of saving time. During a prototype test in December 2025, students observed a person posing as a suspect for 30 seconds, and then entered basic physical descriptors such as gender, approximate age, nose size, and hairstyle, after which the system generated four composite options for them to refine. The entire sketch was completed in approximately 10 minutes. The system is set to be trialled from April 2026 to September 2027.

In 2023, the National Police Agency launched a pilot programme of behaviour-detection security cameras, enabled by AI systems that are designed to identify suspicious conduct before an offence occurs. This development came in response to the fatal shooting of Prime Minister Shinzo Abe in Nara on 8 July 2022, alongside the explosive-device attack on the then Prime Minister Fumio Kishida on 15 April 2023. The cameras rely on three key types of machine-learning pattern recognition:
- ‘Behaviour detection’, which includes a person’s movements;
- ‘Object detection’, which identifies guns and weapons; and
- ‘Intrusion detection’, which monitors the inflows and outflows of individuals from restricted areas.
The pilot programme is reported not to incorporate facial recognition. As at July 2026, it is not confirmed whether the pilot programme is still in operation or whether the cameras have been fully deployed across the National Police Agency’s operations.
In August 2024, the Japanese government announced plans to implement AI-equipped drones to supplement police patrols in areas of Japan affected by natural disasters. Following events such as earthquakes and tsunamis, the use of AI drones is an effort to strengthen crime prevention to address concerns about looters and burglaries in vacated homes. The AI-equipped drones would not require constant monitoring by a human; instead, they would rather detect suspicious activity and immediately notify their operators, who would subsequently instruct officers on the ground about the location of the suspects.
Prosecutors
As at July 2026, there are no reported cases of prosecutors in Japan making use of AI.
Courts
As at July 2026, there are no reported cases of Japanese courts using AI in criminal proceedings. However, there is a willingness to explore AI’s future role: the Supreme Court conducted research meetings in January and February 2026 on how AI could be implemented in the judiciary, reaching a consensus that while AI could not be used in a judge's decision-making process, it could assist with summarising documents and organising evidence in civil cases. Chief Justice Yukihiko Imasaki also remarked ahead of Constitution Memorial Day on 3 May 2025 that ‘we cannot deny the possibility that AI will be involved in judicial decisions.’ Whilst a significant barrier to further integration is Japan’s largely un-digitised infrastructure, in May 2025 Parliament enacted a bill, expected to take full effect by no later than March 2027, to digitise certain criminal procedures (allowing police officers and lawyers to access warrants online).
I heard that [AI] may be useful, but I have the impression that it is still far away. [AI] is a ferocious beast with great speed.
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Defence
As at July 2026, there are no reported cases of defence counsel in Japan making use of AI.
Victims
As a general principle, crime victims do not have party-standing in Japanese criminal proceedings. However, the Code of Criminal Procedure allows victims to participate in several proceedings, including: (i) the victim opinion statement system (Article 292-2), under which a victim may state an opinion on sentiments, etc., at trial; and (ii) the victim participation system (Articles 316-33 through 316-39), under which a victim may, for specified serious offences, attend hearings, comment on the prosecutor’s exercise of discretion, question witnesses and the defendant on certain occasions, and state an opinion on the facts or application of law.
As at July 2026, there are no reported cases of victims in Japan making use of AI.
TRAINING
As at July 2026, there is no reported official training for the judiciary or lawyers on AI in Japan. However, a private entity, together with a bar association and with the support of the JFBA, held a symposium in March 2026 on the use of generative AI and its risks. In addition, in November 2025, a Ministry of Justice official with a background as a judge participated in, and presented at, an international UNESCO training on AI in Bangkok.
As for law enforcement officials, the National Police Agency and the National Police Academy are conducting investigator training on cyber-related cases, cyber-literacy training for senior police officers, and joint research. However, none of this training specifically focuses on the admissibility or evidentiary value of AI-derived evidence in criminal proceedings.
REGULATION
As at July 2026, rather than adopting a single risk-tiered statute, Japan has enacted a framework law (the AI Promotion Act), which establishes institutional architecture for developing policy over time, while relying on non-binding guidelines to shape day-to-day conduct across sectors. No AI-specific rules currently address courts, prosecutors, or law enforcement, and criminal proceedings in particular remain governed by general criminal procedure and human rights instruments rather than by any AI-tailored regime, though the architecture created by the AI Promotion Act leaves room for future sector-specific guidance to be issued as AI adoption in the justice system develops.
AI regulations
Japanese Act on Promotion of Research and Development and Utilisation of Artificial Intelligence-Related Technologies (2025)
The Japanese Act on Promotion of Research and Development and Utilisation of Artificial Intelligence-Related Technologies (‘AI Promotion Act’), Japan’s first statute expressly dedicated to AI, was passed on 28 May 2025, making Japan the second major economy in the Asia-Pacific region to enact comprehensive AI legislation. The Act establishes a national framework to promote AI research, development and utilisation while addressing risks through coordination, guidelines and oversight bodies rather than prescriptive penalties. The Act focuses on establishing basic policies and principles rather than creating detailed prescriptions and prohibitions, unlike, for example, the EU AI Act, and takes a deliberate departure from penalty-driven models.
The Act requires the government to adopt an AI Basic Plan, and Japan’s Artificial Intelligence Basic Plan was adopted by Cabinet decision on 23 December 2025 and was revised and reissued as the Second AI Basic Plan on 14 July 2026. The Basic Plan sets out the basic policy framework for promoting the research, development and utilisation of AI-related technologies, structured around the basic concept, positioning AI as underpinning economic and social development, and is to be reviewed and amended on an annual basis going forward. The Second Basic Plan places particular emphasis on the prompt social implementation of agentic AI and, with a view to promoting AI transformation (“AX”) across society as a whole, calls for a fundamental, cross-ministerial review of laws, guidelines and operational rules. The AI Strategic Headquarters, chaired by the Prime Minister, formally assumed oversight responsibilities under Article 18 of the Act in April 2026.
The Act applies to anyone researching, developing, or using AI-related technologies in connection with Japan, including foreign entities targeting Japanese businesses or citizens. It does not contain provisions specific to criminal proceedings, and encourages voluntary cooperation by developers and users rather than imposing sanctions or prohibitions on AI use.
Although the AI Promotion Act contains no provisions specific to criminal proceedings, its general framework may nonetheless bear on the use of AI in that context. Because the Act applies broadly across sectors, any tools deployed by police, prosecutors, or courts in criminal matters would fall within its scope, subjecting them to voluntary guidelines and risk-mitigation expectations applicable to other sectors. The Act’s establishment of an AI Basic Plan and an AI Strategic Headquarters under the Prime Minister’s Office creates a mechanism through which future sector-specific guidance, potentially including guidance addressed to criminal justice actors, could be developed and issued in the future.

Ministry of Economy, Trade and Industry and Ministry of Internal Affairs and Communications, AI Business Operator Guidelines (2024)
The Ministry of Economy, Trade and Industry (経済産業省, ‘METI’) and the Ministry of Internal Affairs and Communications (総務省, ‘MIC’) jointly published the AI Business Operator Guidelines. The Guidelines were originally formulated and published by the Ministry of Economy, Trade and Industry and Ministry of Internal Affairs and Communications in April 2024 as a unified AI governance framework, setting out the basic approach needed from the perspective of AI development, provision and use for all business engaged in AI utilisation in Japan, with the aim of reconciling the promotion of innovation with risk mitigation across the AI lifecycle.
The Guidelines have been periodically updated in light of fast-moving international discussions on AI. As of March 2026, 25 organisations, including nine Japanese companies, had submitted responses that are published on the OECD’s website as part of the international reporting process the Guidelines are intended to feed into, reflecting Japan’s aim of contributing to international AI norm-setting alongside its domestic guidance.
The Guidelines themselves remain non-binding, setting out desirable conduct for businesses to voluntarily consider, rather than imposing legal obligations, and are of general application across sectors, they are not tailored to legal services, courts, prosecutors or law enforcement specifically.
Guidelines for practitioners
As at July 2026, no guidelines have been issued in Japan on the responsible use of AI by law enforcement agencies, prosecutors, or courts. Moreover, as at July 2026, Japan has not formally adopted the UNESCO Guidelines for the Use of AI Systems in Courts and Tribunals (2025).
It is necessary to consider ethical issues, including the protection of the confidentiality of input and personal information. I would like to proceed with further consideration from now on.
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As for lawyers, in September 2025, the Japan Federation of Bar Associations (‘JFBA’) 一the national self-governing body for the legal profession in Japan一 set up an AI Strategy Working Group in June 2023 to examine AI’s implications for legal practice, its interaction with Article 72 of the Attorneys Act (which reserves legal practice to qualified lawyers), effects on the judiciary, and human rights impacts, and to consider drafting member-facing guidance. In September 2025, the working group published internal member-only guidance titled Points to Note Regarding the Use of Generative AI in Legal Practice. The working group guidance organises its concerns around four main themes: (1) the duty of confidentiality, (2) the risk of misinformation (hallucination), (3) the allocation of responsibility for AI-assisted work product, and (4) professional ethics more broadly. The guidance frames these obligations as existing professional duties that lawyers have always owed, now being reapplied to a new tool (rather than new rules applying to AI). This guidance does not represent the official position of the JFBA. The publication of the guidance was accompanied by explanatory seminars and other initiatives for members, aimed at helping practitioners digest the document.
Separately, the lawyers’ association Hoyukai has stressed the need for lawyers to be alert to the risk that generative AI may output incorrect statements of applicable law or cite non-existent caselaw, and cautions strongly against uncritical reliance on AI-generated answers to legal questions, requiring that any AI output be checked against sources and, where necessary, primary materials.
Criminal procedure rules
Code of Criminal Procedure (1942)
Although no rules or Supreme Court findings are expressly applicable to AI, several existing evidentiary doctrines under the Code of Criminal Procedure may affect the admissibility of AI-derived evidence introduced in criminal proceedings.
- Relevance: Relevance requires that evidence bear a logical connection to the fact to be proven, and that admitting it does not risk leading the court to misjudge its probative value. For scientific evidence, the Supreme Court requires that the underlying principle has a scientific basis, that the method is reliable, and that it is properly applied. Where an AI’s analytical process is a ‘black box’, its reliability may not be verifiable, risking that the evidence lacks relevance.
- Hearsay rule (Articles 320 through 328): Out-of-court statements are generally inadmissible unless a statutory exception applies. Even if a statement record is prepared or summarized using AI, it remains subject to the hearsay rule and must independently satisfy an exception.
- Illegally obtained evidence: Where the investigation involved a serious illegality, such as a breach of the warrant requirement (Article 218; Article 35 of the Constitution), evidence obtained is inadmissible. If AI-based investigative methods were used without, or beyond the scope of, a warrant, there is a risk that both the underlying data and any AI-derived analysis may be excluded.
The Criminal Digitalisation Act, which was passed in May 2025, amends the Code of Criminal Procedure and related statutes to:
- Enable the online submission of arrest and search warrant requests, with warrants issued and presented in electronic form (via tablet devices), removing the need for officers to travel to court in person, a journey that in some regional areas could take several hours each way;
- Digitise evidence documents (witness statements, investigative reports), enabling online disclosure and inspection by the defence, eliminating copying costs that can reach millions of yen;
- Expand video-link (remote) testimony to witnesses unable to attend due to illness and to bereaved family members participating under the victim participation system;
- Create new offences of falsification of public and private electronic records; and
- Introduce an electronic data provision order enabling investigators to compel telecommunications providers to transmit electronic data directly from their servers, with a confidentiality obligation (gag order) on the provider, limited after parliamentary amendment to one year.
The Criminal Digitalisation Act is expected to be fully implemented by the end of March 2027. Though the reform digitises procedure, it does not extend to the use of AI in decision-making within criminal proceedings.
The Criminal Digitalisation Act was passed despite concerns from opposition parties about the mass collection of personal information unrelated to the case under investigation. In response to these concerns, the final text includes a supplementary provision requiring investigators to ‘endeavour to avoid, to the extent possible, collecting personal information unrelated to the case.’
Japanese law contains no rule specifically addressing the exclusion of deepfake evidence. Evidence suspected of having been generated or altered by deepfake technology may nonetheless be excluded under the general evidentiary principles, either where the evidence lacks relevance, or, more fundamentally, where the proponent fails to establish the ‘authenticity’ that is a precondition for admitting the evidence.
Cybersecurity laws
Articles 23 and 66 of the APPI broadly require business operators and the heads of administrative organs to take sufficient and appropriate security management measures. These measures comprise:
- organizational measures (e.g., appointing a responsible officer, establishing handling rules, implementing an audit system);
- personnel measures (e.g., employee training and supervision, confidentiality obligations);
- physical measures (e.g., controlling access to handling areas, preventing theft of devices and media, secure data deletion on disposal); and
- technical measures (e.g., access control and authentication, anti-intrusion protections, encryption of communications).
The level of measures required depends on the nature and volume of the personal information involved and the risk posed by a potential leak.
The Cyber Response Capability Enhancement Act was enacted in May 2025 with the aim of enabling active cyber defence in Japan. The Act newly authorizes: (i) the acquisition and analysis of communications information to detect signs of cyberattacks; and (ii) access to, and neutralization of, devices involved in an attack, to be carried out by law enforcement officers and the Self-Defence Forces, with such neutralization measures expected to become available from 1 October 2026. The government is reportedly considering the use of advanced AI in carrying out these access and neutralization measures while maintaining human involvement in final decision-making.
Human rights
The use of AI tools in criminal proceedings in Japan must comply with the jurisdiction’s human rights framework, even though that framework does not explicitly refer to AI. Relevant human rights guarantees can be found in the Constitution of Japan 1946, which provides:
- Article 13: right to privacy/personality: ‘All of the people shall be respected as individuals. Their right to life, liberty, and the pursuit of happiness shall, to the extent that it does not interfere with the public welfare, be the supreme consideration in legislation and in other governmental affairs.’ The Supreme Court of Japan has recognised a right not to be photographed without justification known as the Kyoto-fu Gakuren case (Supreme Court, Grand Bench, 24 December 1969, Keishu Vol. 23, No. 12, p. 1625). This principle may apply to surveillance and profiling in which AI is used in a supportive capacity.
- Article 14: right to equality before the law: ‘All of the people are equal under the law and there shall be no discrimination in political, economic or social relations because of race, creed, sex, social status or family origin’. This guarantee may be engaged where AI tools used in criminal proceedings (such as risk-assessment or evidence analysis systems) embed or replicate biases present in their training data, resulting in disparate treatment of defendants or suspects.
- Article 32: right of access to court: ‘No person shall be denied the right of access to the courts.’ This right may apply to ensure that any future deployment of AI in judicial proceedings preserves the right to a hearing before a human judge.
- Article 35: requirements for lawful warrants: ‘The right of all persons to be secure in their homes, papers and effects against entries, searches and seizures shall not be impaired except upon warrant issued for adequate cause and particularly describing the place to be searched and things to be seized, or except as provided by Article 33.’ AI tools that generate evidence through automated, ongoing data collection would raise questions about whether a conventional warrant can satisfy the specificity requirement.
- Article 76: judicial independence and impartiality: ‘... All judges shall be independent in the exercise of their conscience and shall be bound only by this Constitution and the laws.’ Delegation of judicial power to AI would be constitutionally problematic. AI-assisted support (information organisation, reference to sentencing precedents) may be compatible with the current constitutional framework.
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Article 82: right to a public trial: ‘Trials shall be conducted and judgment declared publicly.’ Trial proceedings must be open. If AI’s internal processing logic is opaque, then explaining the basis of decisions to parties and the public becomes a challenge that could implicate the open-trial guarantee.
In addition to the constitutional rights mentioned above, human rights protections under the following international treaties to which Japan is a party may also be relevant to the proceedings, including the use of AI.
Japan is a party to the International Covenant on Civil and Political Rights (‘ICCPR’), ratified in 1979. Japan has not enacted implementing legislation to give domestic effect to the ICCPR as such, though it is generally understood that ICCPR provisions can, where sufficiently clear and unconditional, be directly applied (‘self-executing’) by Japanese courts. In a judgment of 3 February 1993, the Tokyo High Court held that Article 14(3)(f) of the ICCPR was self-executing and directly applicable, and on that basis quashed a lower court order requiring a foreign defendant to bear interpretation costs following conviction.
Japan also ratified the Convention on the Rights of the Child (‘CRC’) in 1994, and various domestic child-related laws were subsequently amended or enacted with reference to the convention principles. Article 12.2 guarantees a child’s right to be heard in judicial proceedings affecting them, and Article 40 sets out due process safeguards specific to children in conflict with the law (including the presumption of innocence and treatment appropriate to their age). These provisions may be engaged where AI-based risk-assessment or decision-support tools are used in proceedings involving juvenile suspects or defendants.
Moreover, Japan ratified the Convention on the Rights of Persons with Disabilities (‘CRPD’) in 2014 having already amended or enacted several domestic laws in preparation for ratification. Article 13 requires States to ensure effective access to justice for persons with disabilities, including through the provision of procedural accommodations at the investigative stage.
However, even though Japan is a party to these international treaties, it is generally considered that Japanese courts rarely invoke or rely on international instruments where a domestic provision already addresses the same issue. Accordingly, human rights protection against the use of AI in criminal and other relevant proceedings is likely to continue to rely primarily on constitutional protections and relevant domestic law, rather than directly on these international instruments.

Outlook
The role of AI in Japan’s justice system will likely expand gradually and cautiously, guided by centralised strategic planning at government level. Japan’s AI Strategic Headquarters holds regular strategy sessions, having held its fifth meeting in July 2026. The second Artificial Intelligence Basic Plan sets the government’s overarching policy framework for all AI research, development and utilisation across sectors.
In January 2026, the Regulatory Reform Promotion Council held a session addressing further clarification of AI use under the Attorneys Act, at which a Council member argued that legal technology and AI have become indispensable given deepening staffing shortages in the legal field, and pressed the Ministry of Justice to accelerate institutional clarification to keep pace with technological change. The Ministry of Justice reaffirmed its position that, in general, AI use by a lawyer in their own practice, or provision of legal AI services by a lawyer-operator provider, would not itself violate Article 72 of the Attorneys Act. The Council member pressed for a concrete roadmap ahead of the Council’s final regulatory reform report, suggesting further government clarification on the boundary between permissible AI-assisted legal practice and unauthorised practice of law.
CASES
As at May 2026, no Japanese criminal cases have been identified that directly address the admissibility, transparency, or legality of AI tools in criminal proceedings.