Will AI smart justice be the general trend of the future?

In the recent legal artificial intelligence challenge-contract review competition held by Alibaba DAMO Academy, AI “one-to-many” challenged human lawyers, reviewing nearly a hundred contracts in less than 10 seconds, with an accuracy rate of 96%. But in the end, the ‘human-machine cooperation’ group won first place.

In my opinion, artificial intelligence will replace humans is a false proposition, and human-machine collaboration is the real trend.

I think AI technology is not used to replace lawyers or legal work, but a very good partner who assists lawyers in their work. Human lawyers are good at dealing with difficult problems, combining AI’s strengths in information retrieval, checking and filling vacancies. The collaboration between these two can greatly improve the efficiency of legal work such as contract review. Many large enterprises usually maintain tens of thousands of valid contracts each year. This mechanically repetitive and highly consuming work takes up a lot of energy from legal workers. The emergence of AI lawyers makes it possible to automate contract review.

When a contract has been brought to the negotiating table, some legal risks will definitely be discovered, and some of the previous efforts will be wasted. If AI can follow up at the beginning of our project, it will actually help us reduce a lot of legal risks. AI pre-examines first, and human lawyers find more risk points after re-examination, effectively sharing the workload.

Therefore, in the future judicial field, some things that are cumbersome but simple in actual operation can be done by artificial intelligence for us, so that we can focus more energy on some innovative thinking.

It can be seen that in the future, AI lawyers and legal consulting may become standard equipment for everyone, and everyone has a legal AI assistant. It is hoped that the intelligent judicial AI in the future can take into account the advantages of having a huge data brain, and at the same time, it can also learn from humans with more temperature, more humane, and more individuation.

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