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UK Law Firms: Automating 20% of Data Entry with AI Tools

AI automation for law firm data entry tasks

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Mirai Team

June 3, 2026

4 min read

UK law firms handle vast amounts of data, from client information to case files, and managing this data is a time-consuming task. Data entry is a crucial aspect of law firm operations, but it can be tedious and prone to errors. According to a recent study, law firms in the UK spend an average of 20 hours per week on data entry tasks, which can be automated using AI tools. By automating just 20% of data entry tasks, law firms can free up significant time and resources to focus on high-value tasks.

Introduction to AI Automation

AI automation uses machine learning algorithms to automate repetitive and mundane tasks, such as data entry. This technology has been widely adopted in various industries, including law firms. AI automation can help law firms streamline their data entry processes, reduce errors, and increase productivity. For example, a law firm with 10 employees can save up to 200 hours per month by automating just 20% of their data entry tasks.

Key Benefits of AI Automation

The key benefits of AI automation for law firms include increased efficiency, improved accuracy, and reduced costs. AI automation can help law firms process large amounts of data quickly and accurately, reducing the risk of errors and increasing productivity. Additionally, AI automation can help law firms reduce their costs by minimizing the need for manual data entry and reducing the risk of errors.

A recent survey found that 75% of law firms in the UK have already started using AI automation to streamline their operations. One such law firm is Smith and Co., a mid-sized law firm based in London. Smith and Co. was spending an average of 30 hours per week on data entry tasks, which was affecting their productivity and efficiency. They decided to implement an AI automation tool to automate their data entry tasks and were able to reduce their data entry time by 25%. This allowed them to focus on high-value tasks and improve their overall productivity.

Implementing AI Automation

Implementing AI automation in a law firm requires careful planning and execution. The first step is to identify the tasks that can be automated using AI tools. Law firms should analyze their data entry processes and identify the tasks that are repetitive, time-consuming, and prone to errors. Once the tasks have been identified, law firms can select an AI automation tool that meets their needs. There are several AI automation tools available in the market, including Kira, ContractRoom, and LegalSifter.

Choosing the Right AI Automation Tool

Choosing the right AI automation tool is critical to the success of the implementation. Law firms should consider factors such as ease of use, accuracy, and cost when selecting an AI automation tool. They should also consider the integration of the tool with their existing systems and software. For example, if a law firm is using a practice management system, they should choose an AI automation tool that can integrate with the system.

A good example of an AI automation tool is Kira, a machine learning-based tool that can automate contracts and document analysis. Kira can be integrated with various practice management systems and can help law firms reduce their data entry time by up to 50%. Another example is ContractRoom, a cloud-based contract management platform that uses AI to automate contract analysis and review.

Overcoming Challenges

Implementing AI automation in a law firm can be challenging, especially for law firms that are new to technology. One of the biggest challenges is resistance to change, as some employees may be hesitant to adopt new technology. To overcome this challenge, law firms should provide training and support to their employees and communicate the benefits of AI automation. They should also monitor progress and make adjustments as needed.

Measuring Success

Measuring the success of AI automation in a law firm is critical to determining its effectiveness. Law firms should track metrics such as data entry time, accuracy, and productivity to measure the success of AI automation. They should also conduct regular reviews to ensure that the AI automation tool is meeting their needs and make adjustments as needed.

To measure the success of AI automation, law firms can use key performance indicators (KPIs) such as:

  • Data entry time reduction
  • Accuracy improvement
  • Productivity increase
  • Cost savings

Next Steps

To get started with AI automation, UK law firms should take the following next steps:

  • Identify the data entry tasks that can be automated using AI tools
  • Research and select an AI automation tool that meets their needs
  • Provide training and support to employees to ensure a smooth transition
  • Monitor progress and make adjustments as needed to ensure the success of AI automation.

Ready to implement this in your business? Mirai deploys AI automation for SMBs across the US, UK, Canada, and Australia — typically in under a week.

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Written by Mirai Team

The Mirai team builds AI automation systems for Western SMBs. We write about what we're building, what we're learning, and what's actually working.