Law companies that are making extensive use of Artificial intelligence (AI) in law are reaping the benefits of automation, access to better data, and risk reduction within an organization. At HyperAspect we know how to implement artificial intelligence (AI) in law practices and will guide you through the process

The world is AI

Law is the pillar of all business. Everything a business does should be enforced by a legal contract. The legal services market is immense in size and generates a huge amount of data. When considering artificial intelligence law is one of the sectors that can be improved heavily as the aforementioned data could be processed quicker and more efficiently. HyperAspect’s methodology and comprehensive toolset solve a variety of challenges within the legal industry, such as violations of intellectual property, rapid changes inside collective labor contracts, and others.

HyperAspect Cloud Engineering

Our approach is to be open, transparent, and push the bleeding edge. HyperAspect’s vision is to democratize AI for everyone. Not just a select few. HyperAspect Cloud is our AI platform that enables exceptional decision-making in your company. We want everyone to explore, learn, dream, and imagine a new future.

Benefits of Artificial intelligence (AI) in law practices

In the current environment most lawyers and legal departments are still not aware of the assets that information technologies bring to the everlasting field of law practices. Although almost everyone uses e-mails or accounting systems, IT does way more and AI might be considered as the king of this kingdom. See some of the most popular AI applications in legal and learn why:

We don’t expect that legal specialists should possess extensive IT knowledge to use AI as part of their daily work. We create complex AI-based services but package them in user-friendly and easy-to-understand dashboards. That way legal practitioners can alter their machine learning

models when needed. At HyperAspect we are following the fundamentals of ‘The Law of Artificial Intelligence’ in our work and have the confidence that we cover all regulation and ethics pedestals of AI application. Find more information from our AI law use cases below:

Predictions for litigation outcomes

Lawyers and litigation funders are excited about the opportunity to use AI to predict the outcomes of cases. It is expected that soon machine learning will be able to balance evidence with moral questioning of whether something is right or wrong.


About two decades ago, legal e-billing has emerged intending to digitize the traditional billing mechanism. AI-powered e-billing provides clarity and consistency, compliance with corporations' billing rules, and understanding what external law firms are working on.

Due diligence

Traditional due diligence processes require intensive work and investing much time. When having time constraints the pressure can be overwhelming and requires modernization. AI law mechanisms bring exactly such modernization by extracting value from the huge volumes of available digital information.

Address Specific Use Cases Like Never Before

Artificial intelligence is integrated into all sorts of fields by applying some kind of knowledge that is then processed by the software to perform a specific task. Following this line of taught AI can be constructed in such a way that enables it to perform tasks previously occupying the headspace of lawyers. Just as you would never think to clone a document by typing it all over again – the legal industry will see not using AI as farfetched as not using the copier to make copies.

It is a misunderstanding to think that using AI in day-to-day law-related tasks is only for huge legal departments. Every individual lawyer knows how much time is spent on recurring tasks such as legal research, document, review, contract drafting and diligence. Even if you are skeptical – all these tasks can be easily automated thanks to AI and will save you hours every day. Contact HyperAspect and let’s discuss your line of work and how our platform can streamline your specific use cases.

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