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What's the Secret to Faster, Smarter Contract Review? AI-Powered Legal Contract Analytics

What's the Secret to Faster, Smarter Contract Review? AI-Powered Legal Contract Analytics

Written By
Cedrick Cabaluna
Updated on
July 25, 2024
Reading time:
0
minutes

Reviewing legal contracts manually is a daunting task fraught with challenges. Contracts can be hundreds of pages long, making it easy for a reviewer to miss details hidden in the fine print. The use of intricate legalese jargon can obscure unfavourable provisions, potentially causing issues if overlooked. Errors frequently occur when placeholders or dates in templates are not replaced with case-specific details, leading to confusion and inaccuracies. Understanding a contract can take days just to grasp the content, not to mention dealing with numerous typos and ensuring compliance with various formatting standards. 

These pain points have prompted the development of legal contract analytics, which leverages advanced technologies to handle the tedious and error-prone aspects of contract review.

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What is Legal Contract Analytics?

Legal contract analytics refers to the systematic, software-driven analysis of legal documents using artificial intelligence (AI) to uncover significant information. This advanced approach leverages several key technologies, such as natural language processing (NLP), machine learning (ML), and optical character recognition (OCR), to transform the traditionally manual process of contract analysis into a more efficient and accurate system.

Legal contract analytics is indispensable in various scenarios: 

  • For law firms, it significantly reduces the time spent on contract review, allowing lawyers to focus on more strategic tasks. 
  • In corporate legal departments, it helps identify and mitigate risks by quickly flagging non-compliant clauses and terms. 
  • Procurement teams benefit by ensuring that all vendor contracts adhere to company standards and regulatory requirements. 
  • In M&A due diligence, contract analytics streamlines the review process. 

AI, a technological force as transformative as the steam engine and assembly line, is poised to revolutionise the legal landscape. Just as these inventions propelled humanity into a new era of productivity, AI is now reshaping how legal professionals approach the intricate and time-consuming task of legal contract analytics.

How Does AI Improve Contract Analytics?

  • Natural Language Processing (NLP). NLP enables legal contract analytics to understand and interpret human language in legal documents. It breaks down text into sentences, phrases, and words to grasp structure and meaning. NLP algorithms identify and categorise key entities like names, dates, monetary values, and specific legal terms (e.g., "indemnity," "liability," "termination"). Additionally, NLP performs semantic analysis to interpret context-specific meanings and classifies standard and non-standard clauses against predefined templates to identify variations.
  • Machine Learning (ML). ML algorithms enhance contract analytics by learning from data patterns and improving over time. Trained on large datasets of legal documents, they recognise common patterns, terms, and structures, making accurate predictions and classifications. ML can forecast outcomes, such as the likelihood of a contract clause leading to disputes, by analysing past cases. By comparing new contracts to a database of existing agreements, ML identifies anomalies and potential risks. As ML models process more data, they continuously refine their accuracy and adaptability, improving with each analysis.
  • Optical Character Recognition (OCR). OCR is essential for converting scanned documents and images into machine-readable text. OCR technology first preprocesses images by adjusting brightness, contrast, and resolution to improve text recognition accuracy. It then scans the document image, identifies text characters, and converts them into digital text, handling various fonts and some handwritten text. After text extraction, OCR systems analyse the document’s layout to identify sections, paragraphs, headings, and other structural elements, maintaining the document’s format and context. Post-processing algorithms correct common OCR errors, such as misinterpreted characters or misaligned text, ensuring the extracted data's accuracy.

Benefits of Contract Analytics for Legal Operations

Understanding the intricacies and advantages of legal contract analytics can be a game-changer for legal professionals. By adopting this advanced technology, you can significantly enhance the efficiency and accuracy of your contract review processes, identify potential risks proactively, and ensure compliance with contractual and regulatory obligations. Let's delve into the specific benefits that legal contract analytics can bring to your operations:

  • Improved Efficiency and Accuracy. Legal contract analytics streamline the review process by automating data extraction and analysis, reducing time spent on manual reviews, and increasing accuracy. For example, Lexagle's Dashboard streamlines contract management by providing comprehensive access to pending tasks, at-a-glance data, and real-time updates in virtual rooms. This empowers users to monitor contracts effectively and drive informed decisions.
  • Enhanced Risk Assessment and Mitigation. AI-driven contract analytics tools can identify potential risks within contracts, such as ambiguous clauses or unfavourable terms. This allows legal teams to proactively address these issues and mitigate risks effectively.
  • Better Compliance Monitoring and Management. Advanced contract analytics help ensure compliance with contractual obligations and regulatory requirements by providing real-time insights into contract performance and potential compliance issues.

Key Features of Contract Analytics Software

Understanding the key features of contract analytics software is essential to appreciate their powerful capabilities. Let's take a closer look:

  • AI-Powered Contract Review. AI-powered tools automatically identify potential risks and ensure all necessary clauses are included. This reduces the likelihood of legal disputes and enhances the accuracy of contract analysis.
  • Automated Contract Review. The contract risk analysis software flags clauses that deviate from templates and suggests redlines, streamlining the review process and maintaining consistency​.
  • Centralised Searchable Database. AI-based solutions automatically identify and classify key terms and conditions, creating a centralised, searchable database. This simplifies document storage and retrieval, making it easier to manage and analyse large volumes of legal documents.
  • Compliance and Risk Management. The platform ensures adherence to contractual terms and regulatory standards, reducing the risk of legal disputes. Advanced legal contract audit tools provide real-time insights into contract performance and potential compliance issues.
  • Revenue Enhancement. Contract analytics can uncover opportunities for upselling and optimising revenue streams by analysing existing contracts. This feature helps businesses identify potential value additions and improve their contract management strategies.

Implementing Contract Analytics in Legal Operations

To effectively integrate contract analytics into legal workflows, follow these steps:

  1. Choose the Right Software
  • Select contract analytics software that meets your organisation's needs and offers robust AI capabilities.
  1. Upload Historical Contracts
  • Ensure that historical contracts are digitised and uploaded into the system for comprehensive analysis.
  1. Define Analytics Goals
  • Clearly outline what insights you aim to gain from contract analytics, such as risk mitigation or improved negotiation strategies.
  1. Utilise Analytics Features
  • Leverage the software's reporting and visualisation tools to translate data into actionable insights.
  1. Encourage Collaboration
  • Involve stakeholders from various departments to ensure the insights gained are relevant and actionable.

How Would the Future of Legal Contract Analytics Look Like?

The future of contract analytics in the legal industry is promising, with several trends and innovations on the horizon:

  1. Predictive Analytics
  • AI will continue to evolve, enabling more accurate predictions about contract performance and potential risks.
  1. Automated Contract Generation
  • Future tools may automate the creation of boilerplate contracts based on predefined templates and historical data, without the need for human intervention.
  1. Blockchain-Based Smart Contracts
  • Smart contracts will offer increased security by taking advantage of modern crypto technology.

Stay Ahead of the Curve with Lexagle

Advanced legal contract analytics offers significant benefits for legal operations, from improved efficiency and risk assessment to better compliance and revenue optimisation. By leveraging AI-driven tools, legal professionals can transform their workflows and make more informed decisions

Imagine slashing your contract review time by 80%.  Imagine uncovering hidden risks that could save your company millions.  Imagine having a 24/7 AI-powered legal expert at your fingertips. This isn't legal fiction – it's the reality Lexagle delivers.  If maximising efficiency, mitigating risks, and driving revenue are your top priorities, then it's time to embrace the future of legaltech with Lexagle and book a demo today.

What's the Secret to Faster, Smarter Contract Review? AI-Powered Legal Contract Analytics
Author
Cedrick Cabaluna
Cedrick is the Marketing Specialist at Lexagle. As a published law journal author, international mooter, and certified legal apprentice, he combines his legal expertise and passion for communication in creating content that resonates with businesses. His background in trademarks, startups, arbitration, and digital transformation helps him simplify complex concepts into practical insights. Enthusiastic about contract management and legtech, he enjoys assisting firms in workflow optimisation.
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