How Can Artificial Intelligence Be Used in the Legal Industry?

Table of Contents

Share at:

In a world where technology is advancing faster than ever before, using the available tools becomes necessary rather than optional. In the legal industry, it is important that we serve clients using methods that provide an efficient and cost-effective experience. We have already discussed how technology has helped quicken the litigation process inside and outside courts, and this article will discuss how AI can be used before the process of litigation has begun.

What is AI?

The scope of AI is far-reaching, however in terms of this article, AI refers to machines that analyse data and find patterns that can be used to predict future patterns. Although not 100% accurate, AI technology can generate predictions that are more precise and consistent than human predictions.

How Can AI Be Used in the Legal Industry?

Anyone previously involved in a civil court case knows that there is a lot of discussion between parties before the hearing. Indeed, many civil litigation lawyers aim to settle before the court hearing to provide a more cost-effective outcome for their clients. Prediction software can analyse data and give a prediction about how the case will most likely be decided. The data analysed can include legislation, previous cases with similar facts and the judges’ reasoning in those decisions. As mentioned above, this software is more accurate than human predictions and will encourage parties to settle before the hearing. This will reduce the strain on court resources and increase the speed with which other complex matters reach their hearing. Faster court processes increase access to justice because as we have seen, a delay in justice means denial of justice.

Other applications of AI in the legal industry include predictions of whether someone is likely to re-offend while on bail. The technology analyses the offender’s history and other circumstances and will assist the judge in determining whether to allow bail. Some states in America such as Arizona, Kentucky and Alaska currently use these tools. The software eliminates bias and ensures factors such as race, gender (and the judge’s mood!) do not affect the ruling.

Final Thoughts

New inventions bring new opportunities and it is important for the legal industry to embrace AI technology once available. Not only will it reduce the strain on court resources, it will also ensure clients experience the best service possible.

Have more questions? Contact a LawPath consultant on 1800 529 728 to learn more about customising legal documents and obtaining a fixed-fee quote from Australia’s largest legal marketplace.

Share at:

Simplify creating legal documents today

Browse through Lawpath's AI tools which can be used to draft, review and refine legal documents today!

Related Articles

House keys on a ledger page representing a trustee handover

How to Change the Trustee of a Discretionary Trust in Australia (2026 Guide)

Changing the trustee of a discretionary trust may be required for a number of reasons. In this article, we break down how to do so and its affect.

Tips For Contesting A Fine In NSW If You Have Committed A Traffic Offence

Have you committed a traffic offence in NSW? Here are tips for contesting a fine.

How to Start an Investment Partnership

Investment partnerships differ from common business structures, and it is important to understand what you are entering into by choosing such a structure for your business.

Changing Business Structure From Sole Trader To Partnership: A Legal Guide

Expanding your business? Here’s how to change your business structure from a sole trader to a partnership.

Should You Use A Mutual or One-Way NDA? (2026 Update)

As a business owner, it's important to protect your confidential information in every context. Find out the difference between one way and mutual NDAs here.

Profit Sharing Agreement: What is it and When Do I Need One?

Do you need a profit sharing agreement? Our article will take you through what this agreement is and when it should be used.