The demand for robots in the judicial field is reflected in the following aspects.

In Britain, law firms have developed a "contract robot", which can conduct self-service compliance review and contract management, and realize the automation of online document review. The University of Sheffield in the United Kingdom has released a new artificial intelligence system, which can help to handle legal cases and predict the results with an accuracy rate close to 8%.

Therefore, the better application of artificial intelligence technology in the judicial field will help reduce the burden on judges, improve the utilization rate of court human resources, enable judges to concentrate more on the core work of exercising judicial power and better resolve contradictions and disputes. The application scope of artificial intelligence in the judicial field. At present, the application of artificial intelligence in China's court system is mainly reflected in four aspects: intelligent auxiliary document processing, intelligent conversion of court transcripts, intelligent auxiliary case processing and intelligent auxiliary judicial services.

Actively build the complementary relationship between artificial intelligence and traditional trial methods. At present, in the process of building and developing smart courts, there are still some problems in the application of artificial intelligence in the judicial field in China, such as regional differences, individual differences, the level of intelligent application needs to be improved, and the auxiliary trial function needs to be further extended. The specific performance is that the progress of informatization construction varies from place to place, some places are still lagging behind, advanced trial systems are not introduced, some people are not used to using new intelligent systems, and the intelligent systems are not intelligent and humanized enough, and their functions need to be further developed and improved.

For example, the trial speech input system can't meet the needs of complex trials, and it has some shortcomings, such as unable to identify the accent of the parties, unable to selectively input and identify legal terms and business information, inaccurate and high accuracy; There are still some problems in the retrieval function of class case, such as the internal and external networks are not unified, the data is not comprehensive and accurate.

The reason is that, from the data level, the current legal data is not sufficient, comprehensive and structured enough, and there are still problems such as regional isolation and difficulty in generating data. From the perspective of algorithm, the algorithm used in legal artificial intelligence is not efficient enough; From the perspective of talents, there is alienation in the legal field and artificial intelligence field. All these restrict the ability and level of people's courts to apply artificial intelligence.

Therefore, to develop the application of artificial intelligence in the judicial field, we should make efforts in data, algorithms and personnel training, establish a more accurate and comprehensive database, study more efficient and accurate algorithms, cultivate elite talents who are proficient in law and artificial intelligence, break through the technical barrier between law and artificial intelligence, produce and upgrade more practical and convenient artificial intelligence products, and promote their application to better serve the judiciary and the people.