AI in Legal: Use of AI in Law Practice

Max Liul, Data Science Specialist
AI in Legal: Use of AI in Law Practice

What is Artificial Intelligence in Legal?

Do you know that 44% of legal work can be automated? It becomes possible with the help of artificial intelligence and machine learning. These algorithms can analyze large volumes of legal data, extract relevant information, and provide valuable insights to support decision-making.

More and more law firms are adopting technologies driven by the need to excel in the business (57%) and client expectations (56%). AI-powered platforms automate repetitive and time-consuming tasks, save significant time, estimate risks, and improve accuracy.

Doubt about implementing AI in legal operations? DoNotPay recently had every chance to represent the client's interests with the help of its chatbot. The momentous event could have happened on February 22, 2023, if the state attorney had not threatened the founder with jail time. While the conservative legal industry is not yet ready for such innovations, let's overview the existing applications of AI.

Contract review and due diligence are already widely used by large companies like Latham & Watkins and Baker McKenzie. Allen & Overy employs a chatbot to help its lawyers with various legal tasks. And Clifford Chance implements AI solutions to diagnose issues and predict outcomes.

At Integrio, we love cutting-edge solutions empowered with AI and ML technologies. And today, we want to share our thoughts on the benefits of AI for the legal industry, popular use cases, and important things to consider before its adoption. Also, we augmented our insights with fresh statistics. Stay tuned to get the most out of new technologies.

What to Consider Before Using AI?

Despite the great opportunities, not all legal companies are ready to implement AI in their systems and processes. The most well-known barriers include a lack of trust in AI technology (38%), concerns over data security (35%), lack of confidence in effectively using such solutions (33%), their complexity (28%), low availability (20%), and other factors (3%).

The good news is that many of these obstacles can be minimized. We've prepared several essential factors to consider before implementing artificial intelligence in legal industry:

  • Understand the Purpose

    Assess your existing processes and define the specific tasks where AI can bring value. This could be contract analysis, legal research, or predictive analytics, among others. Identify areas where you face challenges, including time-consuming tasks, resource-intensive activities, or repetitive work.

    Once pain points are identified, consider the desired advantages such as time savings, improved accuracy, enhanced decision-making, or cost reduction.

  • Evaluate Return on Investment

    Make a cost-benefit analysis, evaluating both the costs associated with acquiring and maintaining the AI system and the potential benefits it can bring. Costs include initial investments in hardware, software, and infrastructure, as well as ongoing expenses for training, maintenance, and upgrades.

    For example, you can automate repetitive operations, reduce errors and risks, reallocate resources to more strategic and higher-value tasks, and increase client satisfaction.

  • Guarantee Data Quality and Availability

    High-quality data is vital for generating accurate and reliable results. Data that is incomplete, outdated, or contains errors can negatively impact the performance of AI algorithms. Also, it should be properly labeled, categorized, and organized to enable effective analysis and modeling.

    You may gather information from external sources, partner with providers, or utilize augmentation techniques such as data synthesis or generation.

  • Ensure Compliance and Ethics

    AI systems learn from historical data, which can reflect societal biases and inequalities. For example, you assess the risk of reoffending in criminal cases. The model may disproportionately label individuals from marginalized communities as high-risk, leading to unfair outcomes in sentencing.

    AI in law firms must comply with legal and ethical standards. Ensure that your platform adheres to data protection and privacy laws, maintains client confidentiality, and avoids bias or discrimination in decision-making.

  • Plan Integration with Existing Systems

    Evaluate the compatibility of AI systems with your existing technology infrastructure. Assess whether a solution can integrate seamlessly with current software, document management systems, databases, and other IT systems.

    Reliable IT infrastructure ensures smooth integration, optimal performance, and future scalability of AI solutions.

  • Strategize Change Management

    Implementing legal AI tools requires a change in workflows, so assess its impact on your processes and employees. Remember that transparent communication fosters trust among your team and helps them understand the purpose and potential of AI systems.

    You can consider piloting AI systems in specific practice areas or departments before rolling out the technology firm-wide. This helps manage the change incrementally and adapt to the new technology and processes gradually.

  • Select the Right Vendor

    If you use AI solutions developed by third-party vendors, carefully evaluate their reputation, expertise, and track record. View IT outsourcing company as a long-term partner rather than a one-time service provider. That's why ensuring their ability to provide ongoing support, updates, and maintenance is crucial.

    Verify that the vendor clearly understands legal processes and compliance standards. Learn how they address data privacy, security, and confidentiality issues and ensure adherence to industry-specific regulations.

Top 6 Use Cases for AI in the Law

Artificial intelligence offers new automation, analysis, and innovation opportunities within law firms. Let's overview the use of AI in legal services:

  • Contract Analysis and Review

    Contract analysis and review mean examining key terms, potential risks, and compliance requirements. This process traditionally requires significant time and effort from legal professionals, involving a manual study of lengthy and complex documents.

    According to reports, a legal department within a company typically spends around 50% of its time reviewing contracts. However, AI-powered systems utilize natural language processing (NLP) and machine learning (ML) algorithms to automate extracting critical information from contracts.

    This allows legal specialists to:

    • Identify clauses, provisions, and obligations, helping AI lawyers gain a comprehensive understanding of the contract's content.

    • Flag clauses that deviate from industry standards, so experts can focus on critical areas that require further scrutiny.

    • Detect inconsistencies, such as conflicting provisions or ambiguous language, reducing the chances of misinterpretation.

    • Generate automated reports summarizing the key findings, highlighting important clauses, and providing recommendations for necessary revisions or negotiations.

  • Due Diligence

    Simplify your legal activities with AI, including mergers and acquisitions, regulatory compliance, and contract management. These platforms quickly process structured and unstructured data, such as financial records, contracts, regulatory filings, and public information sources.

    For example, you're working on an M&A deal where the client intends to acquire a technology startup. You need to assess the startup's intellectual property rights, financial health, contractual obligations, and regulatory compliance.

    The AI platform integrates various data sources and applies advanced algorithms to extract relevant information, identify key contractual terms, flag potential compliance risks, and compare financial records against industry benchmarks. As a result, you can focus on deeper analysis and risk assessment.

    AI-powered due diligence systems are also valuable in regulatory compliance and contract management. These systems help identify compliance gaps, ensure adherence to regulatory requirements, and facilitate contract reviews by automatically flagging critical provisions or deviations from standard templates.

    For the financial industry, it can cost around $5.47 million to comply with data protection regulations like HIPAA, PCI DSS, GDPR, etc. Non-compliance can lead to even higher expenses, reaching nearly $15 million, including fines, lost productivity, and unreceived revenue.

  • Intellectual Property (IP) Management

    AI in legal tech allows for streamlining tasks related to patent searches, trademark monitoring, and IP portfolio management. Such systems analyze extensive databases, providing valuable insights into existing patents, potential infringements, and IP strategies.

    When it comes to patent searches, AI quickly scans through vast collections of patents and scientific literature to identify prior art and determine the novelty of an invention. Also, it continuously monitors various websites, social media, and e-commerce platforms to detect potential trademark infringements or unauthorized use of protected marks.

    Also, AI-powered tools streamline the management of intellectual property assets. They track the status of patents, trademarks, and copyrights, providing reminders for renewal deadlines and alerting lawyers to potential maintenance or enforcement actions.

  • Virtual Assistants and Chatbots

    Leverage AI-powered virtual assistants and chatbots as personal helpers, providing basic information and 24/7 support. AI legal assistant engages in natural language conversations, understanding the client's needs and providing relevant information or guidance. Imagine a user seeking legal support who visits a law firm's website. Instead of waiting for office hours or navigating through complex menus, they can get answers to common questions about legal services, practice areas, or the firm's expertise.

    Also, a chatbot can assist with client onboarding by collecting initial case details, such as the type of legal matter, key dates, and any relevant documentation. This streamlines the initial consultation process and ensures that lawyers have the necessary information to provide tailored advice.

    Great examples of such solutions include DoNotPay, LISA, and LawDroid.

  • Predictive Analytics for Case Outcomes

    Today, nearly 59% of companies utilize AI technology to assess legal cases, while approximately 48% employ it to develop effective case strategies.

    Predictive analytics uses AI algorithms to analyze historical case data and forecast future outcomes. By examining judge rulings, case facts, and legal precedents, the system provides valuable insights into the likelihood of success or failure for specific legal cases.

    If the AI system predicts a high probability of success, corporate legal departments may choose to pursue the case more aggressively. If there is a higher likelihood of failure, the team may explore alternative approaches, such as settlement or negotiation.

    Predictive analytics can also help lawyers manage client expectations. By providing insights into the potential case outcomes, legal experts help them decide about pursuing legal action, settling, or exploring other options.

  • Smart Automated Contracting

    AI technology has revolutionized the process of generating legal documents, making them faster, more efficient, and less prone to errors. Using predefined templates and variables, smart systems create customized contracts, agreements, and legal forms tailored to specific requirements.

    If we're talking about standard NDA creation, such a platform can generate the agreement base on a predefined template. It inserts the parties' names, key terms, and other necessary information. This eliminates the need to start from scratch and manually draft each document, reducing time and effort.

    The AI system considers the provided details and parameters, such as the parties involved, terms and conditions, and other relevant information. It then uses this information to populate the document template, ensuring accuracy and consistency. You reduce the chances of errors or inconsistencies and focus on more complex and strategic tasks.

The Benefits of AI in the Law

AI brings several benefits to the legal industry. Here are some key advantages:

  • Increased Efficiency

    AI in the legal profession is a game-changer. It takes care of time-consuming and repetitive tasks like document review, legal research, contract drafting, e-discovery, document management, transcription, billing, and routine communication.

    This frees up valuable time for lawyers to focus on more complex and strategic work, improving efficiency and motivation. Ultimately, it boosts productivity, optimizes resources, and enhances the overall performance of law firms.

  • Enhanced Accuracy

    AI systems analyze large volumes of data with high precision, reducing the risk of human error. For example, it can identify and extract specific data points, clauses, or provisions from contracts, case files, and other legal documents.

    Using machine learning, AI platforms determine relevant precedents, extract key insights, and provide comprehensive summaries of legal cases. This empowers lawyers to conduct thorough research, make informed decisions, and stay up-to-date with the latest legal information.

  • Improved Legal Research

    Accelerate the research process, saving valuable time. With AI-powered tools, you can swiftly search and analyze extensive legal information like case law, statutes, and opinions, ensuring access to comprehensive and up-to-date materials.

    AI in legal research also excels at pinpointing relevant precedents and legal principles. Employ ML algorithms to quickly identify patterns, correlations, and similarities between cases. This helps lawyers uncover key arguments, supporting authorities, and relevant precedents, strengthening their positions.

  • Cost Reduction

    Did you know AI brings significant cost savings to law firms and their clients? Automating manual tasks and streamlining processes, AI reduces the time spent on routine work, leading to lower billable hours and faster case resolution.

    Increased efficiency not only saves money but also minimizes errors and the need for rework. AI-powered systems catch potential inconsistencies or missing information in documents and contracts, guaranteeing accuracy and avoiding costly mistakes. So, your legal work is done correctly the first time.

  • Better Time Management

    Stay on top of deadlines and compliance requirements. Automatically track and manage timelines for various legal tasks, such as court filings, document submissions, and client communications. AI also assists with compliance-related operations like license renewals and report submissions.

    By integrating calendars and case management systems, AI sends automated reminders to legal professionals. This helps law firms stay organized, meet deadlines, and avoid costly delays or penalties.

  • Personalized Legal Services

    Deliver more personalized and tailored services to your clients based on their needs and circumstances. By considering jurisdiction, industry, and client preferences, AI technology generates customized recommendations and strategies that address unique legal challenges.

    Deliver more personalized and tailored services to your clients based on their needs and circumstances. By considering jurisdiction, industry, and client preferences, AI technology generates customized recommendations and strategies that address unique legal challenges.

    Analyze historical case data and outcomes to predict the likelihood of success in similar cases. This way, you can offer clients more accurate assessments of their legal positions and potential risks.

    To get all these benefits from your AI-powered solution, it is vital to find a reliable vendor.

    Unlock the power of AI and machine learning in law with Integrio. Our AI&ML team has 12+ years of experience and talented data scientists equipped with advanced degrees in Math and Computer Science.

    With our well-designed AI models and algorithms, we process and leverage vast amounts of data to create powerful applications. Our top-notch custom software development services include prediction and recommendation engines, cluster analysis, intelligent assistants, and chatbots.

    Whether you're a new legal startup or an established law company, we have something to offer you. Contact our team to discuss to enhance your efficiency, time management, and client support.


The ethical issues of AI in the legal field include concerns about bias and discrimination in decision-making, lack of transparency and accountability in AI algorithms, and the potential for job displacement among legal professionals.

AI advances in law include increased efficiency and productivity by automating repetitive tasks. Also, it improves accuracy in legal research and analysis and enhances access to legal information and services for individuals and businesses.

Some examples of AI in legal industry include contract analysis and review, due diligence, IP management, predictive analytics, and automated contracting. Additionally, AI-powered virtual assistants and chatbots provide client support, gather case details, and help schedule appointments.

Probably, AI will replace lawyers in document review, making it more efficient and informed. Also, technology can assist judges by helping them identify and focus on the essential elements of their rulings and provide a roadmap for the decision-making process.


AI in Legal: Use of AI in Law Practice What is Artificial Intelligence in Legal? What to Consider Before Using AI? Top 6 Use Cases for AI in the Law The Benefits of AI in the Law FAQ

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