Personal injury

Generative AI in legal technology combined with human expertise


Generative AI is a powerful tool for legal professionals – one that requires human oversight.

It is almost inevitable. transformative The impact of artificial intelligence (Artificial intelligence) is everywhere. From curated programming that Netflix suggests to you, to your smart fridge that tells you when to buy more milk, to online ads for things you didn’t even know you wanted, AI is ubiquitous in our lives.

The same applies to the legal profession. Artificial intelligence, especially generative AI, is All fuss In blogs, conferences, boardrooms and the cold chats of legal professionals. It comes full of possibilities – and reservations. Both predictions depend on human supervision.

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Understanding artificial intelligence

in its simplest definition, Amnesty International Technology that allows a computer to function in a “human” way. It takes data from its training and surroundings and returns information based on what it learns or senses. Many terms contribute to the lexicon artificial intelligence, however generative AI makes the most noise. Generative AI is a type of machine learning that drafts content such as documents, images, songs, and artwork in response urge from the user. These tools comb through large amounts of content to create the “best” response to the prompt. Instead of extracting data, as AI does in things like contract management software, it generates data, such as drafting a summary. ChatGPT is one of the most popular types of generative AI.

The good, the bad and the technical

a The latest survey of professionals in law firms He concluded that the vast majority of those surveyed (82%) thought it was a product Artificial intelligence can easily be applied to legal work. However, a simple majority (51%) felt that AI is productive He should applied to legal work. This split indicates some reluctance to use Generative artificial intelligence in legal technologyThe science of high-stakes work for lawyers. Here are the factors to consider:


No, you don’t see things. But your chatbot may be creating them. Hallucinations occur when a generative AI generates false information. In the 2023 example, an American personal injury attorney used a chat box to help prepare a court file containing six different cases. When his opponent and the judge discovered his mistake, the terrified lawyer apologized because he didn’t know the chatbox could falsify the information. Generative hallucinations can appear believable because the AI ​​is designed to create coherent text.


Bias is a human function, and since humans train the algorithms that AI uses, these biases can be passed on. Without appropriate protocols in training, including diversity in the training team, unconscious bias can be incorporated into machine learning models.


You don’t have to know how to cook a fancy French recipe to appreciate its delicious taste. And you don’t have to know how AI works to take advantage of its benefits. But you should know why the algorithm reached the decision you are giving. Transparency means that the AI ​​vendor you choose must be able to explain how their system works, what it is capable of, and where the data is coming from.

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Read more about the evolving positions of generative AI in the legal industry.

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human oversight

Human experience is the silver bullet for AI. Despite what science fiction tells us, machines are machines, and they only work if they are programmed and directed by humans. Human expertise is critical to both sides of the AI ​​equation: the user and the vendor.

user experience

One of the ongoing concerns of legal professionals is that AI will replace lawyers. not like that. In the definition above, the emphasis should be placed on “generative AI drafts content”. drafts. Whatever the AI ​​generates, it needs human eyes to ensure that what is generated is accurate and relevant to the router. In the same way that a lawyer supervises the work of a junior employee, monitoring and managing AI is good business practice. This oversight plays a critical role in minimizing risks, maintaining control, and harnessing the benefits of AI in a responsible manner.

Seller experience

It all comes down to trust. The personal injury lawyer trusted ChatGPT to create court documents for his case, and it failed miserably. For an industry-specific AI platform, industry-specific expertise is important to build trust. In the world of law, few organizations can compare with the industry expertise of Thomson Reuters. With more than 500 editorial attorneys, and a team of cutting-edge data scientists, Thomson Reuters is bringing human intelligence into its AI solutions. when training AI legal technologyScientifically, a specific data set is superior to a broad data set. You don’t want data from Wikipedia, or Twitter, or even Google; You want accurate, targeted information curated by professionals. Thomson Reuters brings that in as well Special content from products like Westlaw Precision and practical law.

Will it make standard practice for generative AI?

coming Generative artificial intelligence in legal technologyNaology is a given. But when legal professionals decide to make it standard practice, the question remains. The efficiencies you provide by creating drafts should be measured in relation to the time it takes to review and monitor results. By replacing time spent on monotonous tasks with those that use legal expertise, organizations will see increased profits and employee satisfaction.

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Charting the course for the future of generative AI

Find out what Steve Hasker, President and CEO of Thomson Reuters, has to say about the generative AI hype.

Read the blog post


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