What is Legal AI and how is it transforming law firms?
AI is increasingly part of the conversation across the legal sector, but many law firms still struggle to cut through the noise and understand what AI really does in practice. Our research shows that while interest in AI adoption is growing, many firms remain uncertain about how AI fits into their day‑to‑day work and where it can deliver meaningful value.
This page provides a clear, practical introduction to legal AI – helping firms move beyond hype and build a realistic understanding of how AI supports legal work today.
What is AI?
Artificial intelligence (AI) is a type of technology that uses computer algorithms to interact with data in a manner resembling that of a human. For example, it can understand written language and analyse data to make predictions, categorise information, perform automated tasks, or even generate content. AI is trained by inputting large amounts of data, which the tool analyses to identify correlations and patterns that it then uses to predict outcomes.
There are three main types of AI, which we’ll explore in more detail below.
1. Natural language processing
Natural language processing (NLP) refers to a type of software that is able to read and understand ‘natural’ language rather than requiring specific prompts. This includes both casual, conversational language that people would use when speaking to each other in person, as well as more complex written documents.
2. Machine learning
Machine learning (ML) is a type of software that is able to ‘learn’ over time. It does this by using algorithms to analyse data and identify patterns, allowing it to make decisions and predictions. By comparing the predictions to known outcomes, the algorithms can make changes to increase their accuracy.
3. Generative AI
Generative AI (GenAI) is the type of technology used by tools such as ChatGPT. It is able to respond to a prompt by generating text, images, video and other outputs. It incorporates elements of machine learning by analysing the patterns and structures of the data it is trained on, and using this to generate data with similar characteristics. The Law Society has a great resource for generative AI in law firms that we recommend exploring.
Are there laws for artificial intelligence?
Although many existing laws such as the GDPR and Data Protection Act 2018 are relevant to its use, there currently aren’t many laws specific to AI. However, as the technology has continued to evolve, so have global regulations.
The EU Artificial Intelligence Act was the world’s first comprehensive regulation on AI. It came into effect on 1 August 2024, with provisions gradually coming into operation over the next 6 to 36 months. The AI Act aims to manage the associated risks by prohibiting unacceptable usage of the technology, assigning legal responsibility, addressing copyright concerns, and outlining compliance requirements to regulate the use of AI throughout the European Union.
While it’s a relatively new technology, the rate at which artificial intelligence is developing, as well as the fast adoption by a wide range of sectors, means that existing laws and regulations aren’t sufficient to cover the expanding use cases of AI. As artificial intelligence is developed and adopted by more and more industries, global authorities will need to create more comprehensive regulatory practices to protect privacy and security, and minimise risks.
Ready to explore AI more safely?
Learn how law firms can adopt AI responsibly with the right controls, safeguards and compliance considerations in place.
How is AI being used in law firms?
Let’s explore some of the applications of AI in law firms, and the benefits they offer.
1. Efficiency and automation
AI is able to quickly highlight key clauses and potential issues in contracts, making management more efficient. Machine learning tools can also help to automate document retrieval and review processes by using classification models, saving time on simple administrative tasks. These efficiencies free up legal professionals to focus on higher-value work.
2. Enhanced legal research
Machine learning supports legal research by quickly analysing vast amounts of information, identifying relevant case law and extracting key insights. Similarly, GenAI can accelerate drafting by creating content within specified parameters, enhancing the speed and accuracy of legal document preparation.
3. Predictive analytics
AI in law firms can assess the likelihood of a particular outcome by analysing past verdicts and negotiations. This helps them to meet the expectations of a competitive market by leveraging predictive insights and making data-driven decisions.
4. Litigation and e-discovery
AI tools can support your legal firm by gathering data and insights when preparing evidence for litigation, significantly enhancing e-discovery efficiency. By being able to scrape huge volumes of data, AI reduces the time and costs associated with traditional evidence review processes.
5. Improved client experience
There are many implementations of AI that can help your legal firm to increase response times and improve client engagement. For example, adding a chatbot or virtual assistant to your website to answer common questions instantly. The automation capabilities of AI can also help legal professionals to spend less time on repetitive tasks and more time building client relationships.
As firms move from understanding AI to applying it in practice, the question often becomes what good AI adoption actually looks like. From integration and governance to how technology supports everyday legal work, AI maturity is about more than individual tools alone – it’s about using AI in a way that is consistent, well‑governed, and aligned with how the firm operates.
Learn more about the characteristics of an AI‑enabled law firm.
Using AI effectively in law firms
AI can feel complex at first, but understanding what it does – and where it fits – is the foundation for using it effectively. By approaching AI with clarity rather than hype, law firms can make informed decisions about how and when AI supports their people, their clients, and their ways of working.
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