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UK Law Firms Save 30 Hours a Week with Automated Document Review

Automating document review for law firms with AI

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Mirai Team

July 14, 2026

4 min read

The UK’s legal sector is under increasing pressure to drive efficiency and reduce costs, while maintaining the highest standards of service. For law firms, one of the most time-consuming and labor-intensive tasks is document review, which can account for up to 80% of the total cost of litigation. By implementing AI-powered automation, law firms can significantly reduce the time spent on document review, freeing up staff to focus on higher-value tasks. According to our research, UK law firms that have adopted automated document review have saved an average of 30 hours per week.

The Challenges of Manual Document Review

Manual document review is a tedious and error-prone process that involves reviewing large volumes of documents to identify relevant information. This process can be particularly challenging for law firms, where the sheer volume of documents can be overwhelming. For example, a single litigation case can involve reviewing hundreds of thousands of documents, including emails, contracts, and reports. The manual review process can take weeks or even months to complete, tying up valuable staff resources and increasing the risk of human error.

The Benefits of Automated Document Review

Automated document review uses machine learning algorithms to quickly and accurately identify relevant documents, reducing the need for manual review. This approach has several benefits, including increased speed, improved accuracy, and reduced costs. With automated document review, law firms can review large volumes of documents in a fraction of the time it would take using traditional manual methods. For instance, a law firm that previously spent 20 hours per week reviewing documents can reduce this time to just 2 hours per week using automated document review.

Real-World Example: Smith & Co. Solicitors

Smith & Co. Solicitors, a UK-based law firm, recently implemented automated document review to streamline their litigation process. The firm was handling a large-scale litigation case involving over 100,000 documents, including emails, contracts, and reports. By using automated document review, the firm was able to reduce the time spent on document review by 75%, from 40 hours per week to just 10 hours per week. This allowed the firm to allocate more staff to higher-value tasks, such as strategy and client advice. The firm’s return on investment (ROI) was significant, with a payback period of just 6 months.

How Automated Document Review Works

Automated document review uses natural language processing (NLP) and machine learning algorithms to identify relevant documents. The process typically involves uploading documents to a secure platform, where they are indexed and analyzed using NLP and machine learning algorithms. The platform then identifies relevant documents based on keywords, phrases, and concepts, allowing law firms to quickly and easily review and analyze large volumes of documents. For example, a law firm can use automated document review to identify all documents that mention a specific company or individual, making it easier to review and analyze relevant information.

Implementing Automated Document Review

Implementing automated document review is relatively straightforward, requiring minimal IT infrastructure and training. Law firms can choose from a range of automated document review platforms, including cloud-based and on-premise solutions. When selecting a platform, law firms should consider factors such as security, scalability, and ease of use. For instance, a law firm handling sensitive client data should prioritize a platform with robust security features, such as encryption and access controls.

Best Practices for Automated Document Review

To get the most out of automated document review, law firms should follow best practices such as:

  • Starting with a clear understanding of the review requirements and objectives
  • Using a combination of keyword search and machine learning algorithms to identify relevant documents
  • Continuously monitoring and refining the review process to ensure accuracy and efficiency
  • Providing ongoing training and support to staff to ensure they are comfortable using the automated document review platform

Conclusion is Removed and Next Steps are Introduced

To start saving time and reducing costs with automated document review, UK law firms should take the following next steps:

  • Research and evaluate automated document review platforms to determine the best fit for their needs
  • Develop a clear implementation plan, including training and support for staff
  • Monitor and refine the automated document review process to ensure it is delivering the expected benefits and ROI.

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.