What's the Fuss About Legal AI? Understanding Harvey, Eve, and Their Applications in Taiwan
With Harvey raising massive funds and law firms clamoring to adopt it, legal AI has become one of the hottest vertical tracks in 2026. This article provides a neutral explanation of what tools like Harvey and Eve do, why they're powerful, and how Taiwanese law firms and legal professionals should approach them.
These past two years, the most frequently asked question in the legal circle has been: "Will AI replace lawyers?" Instead of debating this topic abstractly, let's take a look at the tools actually being used by top law firms. The two most representative names are Harvey and Eve.
Harvey: The Benchmark for Legal AI
Harvey is currently the most notable legal AI company, specifically designed for law firms to assist with legal research, contract review, document drafting, and due diligence. Its clients include multiple international large law firms. Its value does not lie in 'replacing lawyers', but in liberating seasoned lawyers from repetitive labor such as searching for precedents and comparing clauses, allowing them to focus on judgment and strategy.
Eve: Proof that Legal AI is Becoming More Specialized
If Harvey serves large law firms and corporate clients, Eve has carved out another niche: it focuses on plaintiff lawyers, optimizing the organization of large amounts of documents and evidence for cases such as personal injury and labor disputes. Eve's emergence demonstrates that legal AI is no longer a one-size-fits-all solution, but is instead becoming more specialized for specific types of cases.
Why is Law Particularly Suitable for AI?
Because legal work involves a large number of 'reading documents, finding precedents, and writing documents' processes, which is precisely the strong point of large language models. Additionally, lawyers' time is expensive, and the volume of documents is enormous, making the return on investment for assigning repetitive tasks to AI very high. This is also why capital and law firms are investing in this area.
What Can Taiwan Do Now?
We need to be realistic here. Harvey and Eve are based on the European and American legal systems, and are adopted through corporate negotiations. Directly introducing them to Taiwan would encounter three practical problems:
First, there is the difference in legal domains - our country's laws, regulations, and precedent systems are different from those of the UK and the US, and the precedents provided by AI may not be applicable. Second, there is the language issue - the model's grasp of traditional Chinese legal documents and specialized terminology needs to be tested. Third, there are issues with data localization and confidentiality - lawyers have a duty to maintain confidentiality for their clients, and before putting case files into foreign services, they must ensure that data processing and compliance are in order.
Therefore, for Taiwanese law firms at this stage, a more practical approach is to regard Harvey and Eve as indicators of 'what legal AI can do', and to start by testing the waters in areas that do not involve sensitive case files (such as public precedent research and internal knowledge organization), while closely following the localized solutions introduced by domestic legal tech teams.
An Unchanging Premise
Regardless of how powerful the tools are, legal opinions produced by AI must always be reviewed by lawyers, and the final judgment and responsibility always lie with humans. Treating AI as an 'accelerator' rather than an 'agent' is the safest and most effective way to use it at present. To learn more about how companies can introduce AI, you can continue reading our enterprise applications column.
Frequently Asked Questions
Are Harvey and Eve available for use by lawyers in Taiwan?
While they can be consulted, both tools are based on European and American law and operate on an enterprise negotiation basis, so the application of Taiwan's laws, language, and data privacy requirements needs to be assessed on a case-by-case basis. It's recommended to start with non-sensitive areas like public case studies.
Will legal AI replace lawyers?
At present, legal AI is positioned to assist and accelerate tasks, but its output must be reviewed by lawyers, and the final judgment and legal responsibility still rest with humans.
Why is the legal field particularly suited for AI adoption?
Legal work involves a large amount of document reading, research, and writing, which are areas where language models excel. Additionally, lawyers' time is expensive, and the volume of documents is vast, making the return on investment high.