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Legal AI: Applications & Benefits in 2025

 In Practice Pointers

Legal AI: Applications & Benefits in 2025

Artificial intelligence has become a huge part of standard legal technology—and for the right reasons.

AI lets law firms move away from rigid and often tedious legal workflows that tradition dictates. As legal professionals learn to work in tandem with AI technology, the benefits become clearer and clearer: Less time spent on repetitive tasks and more time for high-value work that directly translates to billable hours.

Of course, no reputable professional will take anyone’s word for it without doing their due diligence. So, let’s talk about legal AI, its applications, and how legal professionals can benefit from it.

man going through a pile of documents

What Is Legal AI?

Legal AI is a technology that uses artificial intelligence to make legal work faster and more efficient. It handles tasks like reviewing contracts, analyzing documents, performing research, and automating processes like drafting agreements or answering client questions.

Natural language processing (NLP) and machine learning allow it to understand legal text, extract key details, flag risks, and predict case outcomes.

How Do Law Firms Use Artificial Intelligence?

AI technology is taking over numerous professional sectors, including business, finance, real estate, and healthcare. The legal industry was quite slower to adopt this type of tech in comparison, but there’s no denying that AI has become a must-have tool for legal professionals.

How did AI make its way into legal departments, an industry that abides by tradition? Here’s a look at some important areas where AI is making a big difference:

1. Document Drafting

Traditionally, creating standard legal documents like contracts, agreements, and wills was a meticulous and time-consuming task that required a lot of attention to detail to make sure everything was accurate and compliant. But now, AI has made this process much more efficient.

Legal AI tools can automate the creation of these standard documents by analyzing large datasets and identifying relevant clauses. A specific type of AI common in document automation and drafting is generative AI. 

Generative AI tools draft complex legal documents by generating text that meets the necessary requirements. For example, if a lawyer needs a discovery response document with particular objections, generative AI tools like Briefpoint can produce a draft that includes all the necessary legal language and clauses.

business man holding a pen and paper

2. Data Synthesis and Document Analysis

In legal work, sorting through piles of documents and data is a given, but it’s also one of the more time-consuming parts of the job. AI is stepping in to simplify this hefty task.

By using AI tools, lawyers can automate the process of organizing and analyzing vast amounts of legal data, from client communications to detailed case histories.

These tools quickly sift through information, extract the necessary details, and present them in a way that’s easy to understand. This speeds up the entire process and reduces the chance of human error.

The result? Legal teams get the insights they need faster, which, in turn, makes it simpler to build cases or advise clients.

3. Legal Research

Legal research is essential for any law practice, as lawyers need to sift through vast amounts of statutes, case law, and legal writings to support their arguments or provide advice. Traditionally, this task has been incredibly time-consuming and sometimes error-prone.

However, large language models (LLMs) and other AI tools are changing the game by speeding up the process and increasing efficiency. 

These tools use advanced algorithms, machine learning, and other large language models to comb through extensive legal databases quickly. They can accurately identify relevant cases, laws, and articles much faster than manual methods (way faster than a human can).

This efficiency saves time and helps lawyers build stronger cases by reducing the risk of missing crucial information.

With AI, even smaller law firms or solo practitioners can access comprehensive research quickly, which can help them gain a competitive advantage over larger firms with more resources.

4. Predictive Analysis

Predictive analysis in the legal world means using AI to predict the outcomes of legal cases before they wrap up. This tech dives into heaps of data—from past court decisions to detailed legal precedents—to empower legal professionals to make sound predictions.

This kind of insight can make or break a court victory. For example, it helps lawyers figure out the best strategies for their cases, like whether to settle early or push through to trial based on the predicted outcomes.

But it’s not just about strategizing. Predictive analysis is also great for risk assessment. Law firms use this legal tech to check out the risks of taking on new cases. They can spot potential problems before they blow up, saving everyone a lot of time and money by avoiding drawn-out legal battles.

Clients get a lot from this, too. They receive advice backed by solid data, which can help them make well-informed decisions about their legal issues.

5. Client Communications

Effective communication with clients is an absolute must in the legal profession, but keeping up can be quite a task, especially for busy lawyers. AI is changing how law firms manage this by automating routine interactions and helping maintain consistent, timely communication.

AI tools, such as chatbots and virtual legal assistants, can handle tasks like:

  • Answering common inquiries from clients
  • Scheduling appointments
  • Sending updates about case progress

These tools work around the clock to make sure that clients receive quick responses, which boosts their satisfaction and trust in the legal services provided.

Plus, these AI systems can personalize communications based on client data to make interactions feel more tailored and attentive. For a law firm, this means less time spent on routine tasks and more time available for the complex aspects of their cases.

6. Contract Management

AI models can quickly scan contracts to pinpoint unusual clauses or potential risks. As a result, they speed up the review process and help make sure that everything is up to par legally and aligned with business goals.

When drafting contracts, AI can offer the right language and clauses based on a huge database of existing contracts. AI also helps keep track of active contracts, sending alerts about compliance issues, renewals, or any deviations from the terms. 

Such oversight helps prevent problems down the line and makes sure contracts are managed properly.

business people working with documents

Stop Spending Hours on Discovery Documents and Let Briefpoint Help

Drafting discovery responses and request documents is by far one of the most tedious parts of the discovery process. What about your legal strategy? The client meetings you have to attend? The other piles of paperwork on your desk?

Sure, you can pile this task on your legal assistant, but that doesn’t solve the overarching problem. Drafting legal documents simply takes up too much time.

Briefpoint.ai gives you an easy solution. With our generative AI, you can draft sets of and responses to:

And all it takes is just a few minutes. No more spending hours preparing this tedious (yet necessary) paperwork. All you have to do is upload your document, add objections and responses, and finish your draft in Word. Briefpoint takes care of the rest.

With Briefpoint’s built-in feature Bridge, this platform also makes collecting client responses easy. Bridge lets you select specific interrogatories, translate them into plain English, and send them to your client. Once your client responds, Bridge will help you put their responses in your document within minutes.

Book a demo today and see how it all works!

Invest in a Generative AI Tool That Can Save You Thousands

Discovery responses cost firms $23,240, per year, per attorney. $23,240 estimate assumes an associate attorney salary of $150,000 (including benefits – or $83 an hour), 20 cases per year/per associate, 4 discovery sets per case, 30 questions per set, 3.5 hours spent responding to each set, and 1800 hours of billable hours per year.

Under these assumptions, you save $20,477 using Briefpoint, per year, per attorney.

Test Briefpoint yourself by scheduling a demo here.

FAQs About Legal AI

Is there an AI for law?

Yes, there are several AI tools designed specifically for the legal industry. These tools assist with document review, contract analysis, legal research, and client communication. Popular examples include tools like Briefpoint, Casetext, Kira Systems, and Paxton AI. Legal AI is useful for lawyers, paralegals, and even law students.

What is the best legal AI chatbot?

The best legal AI chatbot depends on your specific needs. AI-powered tools like ChatGPT and LawGeex are popular for general legal inquiries and document drafting. LISA or Legalmation may be more suitable for law firms seeking tailored solutions.

Can ChatGPT write legal memos?

Yes, ChatGPT is a natural language processing AI that can help you write legal memos. However, it’s essential to review and verify its output for accuracy, as it may not always provide jurisdiction-specific or up-to-date legal information. It works best as a starting point for drafting.

Can AI take over the role of human lawyers?

While AI can automate many tasks that lawyers do, it’s unlikely to replace human lawyers entirely. AI is great at handling routine and data-heavy legal tasks, but complex legal reasoning, strategy development, and ethical decision-making need human insight and experience.

Are there any risks with legal AI?

Yes, there are some risks and ethical concerns with using legal AI. One big concern is data privacy since AI systems handle sensitive client information. Keeping this data secure is crucial. There’s also the issue of bias; AI can unintentionally carry over biases from the data it was trained on, leading to unfair outcomes. While AI is generally reliable, it’s not perfect and can make mistakes, especially in complex legal practices.

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