Integreon’s CyberHawk-AI Recognized for Artificial Intelligence Innovation in 2025 AI Breakthrough Awards Program
Prestigious International Annual Awards Program Honors Standout AI Companies & Solutions LOS ANGELES, CA – June 25, 2025 – AI Breakthrough, a leading market intelligence organization that recognizes the top companies, technologies and products in the global Artificial Intelligence (AI) market, today announced that Integreon, a leading global provider of tech-enabled legal, creative, and business solutions, has been selected as winner of the “IDP (Intelligent Document Processing) Solution of the Year” award in the 8th annual AI Breakthrough Awards program. The award recognizes the groundbreaking innovation of Integreon’s CyberHawk-AI solution. Designed to transform the traditionally manual, error-prone data mining process associated with Cyber Incident Response (CIR), CyberHawk-AI delivers a powerful combination of speed, scalability, and contextual precision and sets a new standard for AI in incident response operations. Enabled by CyberHawk-AI, Integreon offers a comprehensive data mining and review solution that combines tech-enabled processes, experienced resources, and a scalable delivery platform to handle large, complex projects. Purpose-built for agility, scale, and precision, CyberHawk-AI combines fine-tuned Large Language Models (LLMs) with domain-specific machine learning to deliver rapid, contextual document processing – no matter the format or complexity. Whether it’s extracting PII/PHI from PDFs, mapping entity relationships in emails, or parsing XML files, CyberHawk-AI adapts to structured and unstructured data with minimal retraining. LLM-powered document understanding allows CyberHawk-AI to accurately extract and contextualize sensitive data across diverse formats without relying on rigid templates. New data points and regulatory changes can be incorporated, supporting adaptation to evolving threats and compliance requirements. Quantifiable outcomes include 80% reductions in turnaround time for initial reviews and 90%+ accuracy in PII/PHI data extraction. This tech-enabled process is combined with quality checks conducted by our team of subject matter experts. Teams leveraging CyberHawk-AI saw dramatic reduction in false positives and the ability to scale across industries and document types. “Rapid response and accuracy are non-negotiable in the high-stakes landscape of cyber incident response. CyberHawk-AI delivers on the promise of intelligent automation, grounded in real-world results and enterprise-grade reliability, ” said Subroto Mukerji, CEO of Integreon. “We’re grateful for this award from AI Breakthrough and take pride in knowing our solution proves that with the right combination of technology, oversight, and domain knowledge, AI technology can drive not just efficiency, but transformation.” The AI Breakthrough Awards shine a spotlight on the boldest innovators and most impactful technologies leading the charge in AI across a comprehensive set of categories, including Generative AI, Computer Vision, AIOps, Agentic AI, Robotics, Natural Language Processing, industry-specific AI applications and many more. This year’s program attracted more than 5,000 nominations from over 20 different countries throughout the world, underscoring the explosive growth and global importance of AI as a defining technology of the 21st century. “CyberHawk-AI is not just a processing engine, it’s an intelligent partner in CIR, capable of adapting to any client, regulation, or threat vector,” said Steve Johansson, managing director, AI Breakthrough. “Integreon applies LLMs strategically. By transforming the traditionally manual, error-prone CIR process, CyberHawk-AI delivers a powerful combination of speed, scalability, and contextual precision and sets a new standard for AI in incident response operations. We’re pleased to award Integreon with ‘IDP Solution of the Year!’” About AI Breakthrough Part of Tech Breakthrough, a leading market intelligence and recognition platform for global technology innovation and leadership, the AI Breakthrough Awards program is devoted to honoring excellence in Artificial Intelligence technologies, services, companies and products. The AI Breakthrough Awards provide public recognition for the achievements of AI companies and products in categories including Generative AI, Machine Learning, AI Platforms, Robotics, Business Intelligence, AI Hardware, Computer Vision and more. For more information visit AIBreakthroughAwards.com. Tech Breakthrough LLC does not endorse any vendor, product or service depicted in our recognition programs, and does not advise technology users to select only those vendors with award designations. Tech Breakthrough LLC recognition consists of the opinions of the Tech Breakthrough LLC organization and should not be construed as statements of fact. Tech Breakthrough LLC disclaims all warranties, expressed or implied, with respect to this recognition program, including any warranties of merchantability or fitness for a particular purpose. About Integreon Integreon is the trusted, global provider of legal, creative and business outsourced solutions to corporations and law firms seeking to expand their capabilities and transform their performance. The company’s 4,000+ professionals provide expert support across a range of managed services—from creative design, content delivery and administrative support to legal and compliance. With global delivery centers on three continents, Integreon delivers round-the-clock service in 70+ languages and is deeply committed to client success, consistently delivering innovative, tech-enabled solutions that improve agility and efficiency to drive business performance. Integreon is owned by EagleTree Capital, a leading New York-based middle-market private equity firm with over $5 billion of assets under management. For more information about Integreon’s range of services, email [email protected], visit www.integreon.com and follow Integreon at LinkedIn, Twitter and Facebook.
Integreon Launches GenAI-Enabled Legal & Regulatory Compliance Services Powered by ContractPodAi’s Leah Intelligence
New offering delivers real-time regulatory analysis, contract remediation, and compliance automation at scale Austin, TX & London, UK – June 24, 2025 – Integreon, a leading global provider of tech-enabled legal, creative, and business solutions, today announced the launch of its new genAI-Enabled Legal & Regulatory Compliance Services, a transformative set of solutions that empower organizations to accelerate compliance processes, reduce regulatory risk, and enhance contract governance using generative AI. This new offering is powered by Leah and developed by Integreon’s deep bench of contracts and compliance subject matter experts and technologists. As the pace and complexity of global regulation increases, many organizations struggle to manage legal and regulatory compliance across contracts and policies. Integreon’s new solution provides a comprehensive, AI-powered approach to automating these tasks with speed, accuracy, and jurisdiction-specific precision. From regulatory mapping and document redlining to contextual Q&A and real-time risk detection, the new service is designed to meet today’s compliance demands while preparing for tomorrow’s challenges. “We’ve reached a turning point in the legal industry—fewer people are asking if generative AI works anymore. The conversation has moved to how we apply it to deliver measurable outcomes,” said Gabriel Buigas, Executive Vice President of Legal and Compliance Solutions at Integreon. “I’m incredibly proud that Integreon is at the forefront of this evolution, turning powerful technologies like Leah into real, scalable solutions for compliance, governance, and legal efficiency.” Key Features and Benefits: Automates legal and regulatory compliance checks across contracts and corporate policies. Identifies and applies jurisdiction-specific regulations based on contract geography and business line. Uses AI-powered redlining to remediate non-compliant provisions in real time. Provides immediate insights through conversational AI models trained on frameworks such as DORA, GDPR, and HIPAA. Enhances decision-making with a contextual helpdesk interface and custom regulatory models. The service enables a continuous compliance workflow through three integrated modules: Discovery, Helpdesk, and Redline, allowing users to upload source documents and generating compliance reports, answering user queries in real-time and remediating contract language at scale. “This collaboration not only solves today’s problems, it’s also about redefining what legal and compliance services can achieve in the future,” said Mark Langsbury, Senior Vice President of Global Partnerships at ContractPodAi. “By combining deep legal expertise with generative AI, we’re equipping teams to move faster, act smarter, and stay ahead of change.” Case Study: DORA Compliance for Global Insurance Brokerage Integreon recently partnered with a global insurance brokerage firm to assess compliance with the EU’s Digital Operational Resilience Act (DORA). Leveraging Leah AI and their deep subject matter expertise, Integreon: Trained a bespoke Helpdesk model on DORA Reviewed existing ICT vendor contracts to identify non-compliant clauses Delivered a remediation strategy and enabled real-time compliance Q&A Achieved up to 50% productivity gains while ensuring 100% SLA-compliant delivery The outcome was a faster, more scalable compliance process with immediate operational impact. As the first genAI-led ALSP, Integreon has developed additional use cases that support key areas of legal operations enablement, including template harmonization and playbook creation. These expanded applications help clients streamline contract lifecycle management (CLM) and accelerate the implementation of internal legal standards. Learn more here: Contracts Solutions | Integreon. About Integreon Integreon is the trusted, global provider of legal, creative and business outsourced solutions to corporations and law firms seeking to expand their capabilities and transform their performance. The company’s 4,000+ professionals provide expert support across a range of managed services—from creative design, content delivery and administrative support to legal and compliance. With global delivery centers on three continents, Integreon delivers round-the-clock service in 70+ languages and is deeply committed to client success, consistently delivering innovative, tech-enabled solutions that improve agility and efficiency to drive business performance. Integreon is owned by EagleTree Capital, a leading New York-based middle-market private equity firm with over $5 billion of assets under management. For more information about Integreon’s range of services, email [email protected], visit www.integreon.com, and follow Integreon at LinkedIn, X, and Facebook.
Gaining Momentum with GenAI-Enabled CLM: A Tech as a Service Strategy
This is the final blog of a five-part series on CLM Adoption in the Age of AI. Read the first blog here. As generative AI reshapes the business world, corporate legal teams must reevaluate their approach to contract lifecycle management. While budget and resourcing constraints are nothing new, the pressure to leverage technology—particularly genAI—to operate more efficiently and cost effectively has never been greater. For some organizations looking to enhance their CLM technology with AI tools, challenges to adopting and implementing new technology can seem insurmountable. Based on what we have seen working with corporate legal teams and law firms, these may include: Lack of in-house genAI expertise Struggle to select the right solution from among the vast and growing number of choices Cost of new tool onboarding and training Adopting a “tech-as-a-service” approach with a trusted Alternative Legal Service Provider (ALSP) addresses these concerns. Providers, like Integreon, bring you an AI-enabled solution with a trained staff to operate the environment and experienced professionals that can tailor the AI performance to your specific requirements. Whether you need drafting and redline review capabilities or analysis of your repository of agreements, your ALSP partner allows you to immediately launch the benefits of AI without the upfront costs and risks. Besides lowered risk and less cost, there are other benefits to deploying AI through a “tech as a service” solution: Access to specialized talent: Avoid the time and effort of recruiting and training new employees who have the requisite skillsets. Instead, simply deploy those skilled resources through your ALSP. Contracting process and workflow experience: Subject matter experts from an ALSP have the benefit of working alongside companies across a multitude of industries with a myriad of contracting challenges. They can apply this experience to your unique situation. Expert configuration of genAI modules: an ALSP will be adept in making sure you are taking advantage of all of a tool’s capabilities and fitting them to your requirements. Test and Learn: ALSPs allow you to experiment with emerging AI technologies on a smaller scale before fully committing to a single investment. Curated tech stack: An ALSP’s solutions are fine tuned to optimize the tech tools they use. Suitability and testing have been handled for Strategic partnership: An experienced yet nimble ALSP continues to innovate and stay on top of technology advancements while balancing new capabilities against operational effectiveness. As a pioneering ALSP with over 25 years in the legal industry, Integreon is well-positioned to guide clients through their transition into AI-enhanced services. Technology agile with deep industry expertise and supported by a team of experts from key industry sectors, Integreon is committed to providing clients with unbiased insights and support as we navigate the months ahead. If you are interested in learning more about how you can effectively evaluate, adopt, and optimize CLM technology in 2025, especially given the new dimension genAI creates for this class of legal tech, download our eBook, “A Legal Department’s Guide to CLM Adoption in the Age of AI.” This 8-page guide covers: Understanding Generative AI (genAI) in CLM Solutions Internal Considerations for CLM Technology CLM Vendor Selection Considerations Getting the Most Out of your CLM Solution Gaining Momentum: Tech as a Service Download the guide
Chambers Ranks Integreon in Top Band for Contract Lifecycle Management and Litigation Services for Sixth Consecutive Year
June 19, 2025 – (AUSTIN, TX & LONDON, UK) – Chambers released its NewLaw 2025 Guide, which ranks legal service providers based on over 220,000 interviews and client surveys, and again placed Integreon in the top Band 1 ranking for Contract Lifecycle Management and Litigation Services for the sixth year in a row. Subroto Mukerji, CEO of Integreon, said, “We are honored to be ranked in the highest band once again by Chambers’ NewLaw guide. Our ability to deliver high-quality, genAI-enabled services globally to corporate legal teams and their law firms and helps us to stand out. We’re especially grateful to our clients for recognizing the value and impact of our work.” During the survey process, an Integreon contract lifecycle management client told Chambers, “I have been very pleased with their service offering and quality of review. Their intentional offerings, with over 40 language capabilities, are a big strength.” A litigation services client also remarked, “Integreon offers global coverage of all time zones and is excellent. The same quality and consistency is present across borders.” Gabriel Buigas, Integreon EVP of Legal and Compliance Services, commented on this year’s rankings, saying, “Our worldwide commitment to helping our clients scale their work and save time and costs is demonstrated in these year-over-year top-tier rankings. It is gratifying to receive this feedback and recognition.” Integreon’s EVP of Litigation Services Phil Goodin said, “Corporate legal teams and their law firms increasingly are under pressure to reduce costs and meet tight deadlines. We are proud of the continuous high marks and positive feedback our managed document review team receives.” Chambers rankings are considered a mark of excellence across the legal industry and are based on assessment criteria that include technical legal ability, professional conduct, client service, commercial astuteness, diligence, commitment, and other qualities valued and articulated by interviewed clients. Chambers NewLaw provides decision-makers and other customers with information and insights to enable informed judgment on ALSP vendors. About Integreon Integreon is the trusted, global provider of legal, creative and business outsourced solutions to corporations and law firms seeking to expand their capabilities and transform their performance. The company’s 3,500+ professionals provide expert support across a range of managed services—from creative design, content delivery and administrative support to legal and compliance. With global delivery centers on three continents, Integreon delivers round-the-clock service in 50+ languages and is deeply committed to client success, consistently delivering innovative, tech-enabled solutions that improve agility and efficiency to drive business performance. Integreon is owned by EagleTree Capital, a leading New York-based middle-market private equity firm with over $5 billion of assets under management. For more information about Integreon’s range of services, email [email protected], visit www.integreon.com, and follow Integreon at LinkedIn, X, and Facebook.
Maximizing Value with your AI-enabled CLM Solution
This is the final blog of a five-part series on CLM Adoption in the Age of AI. Read the first blog here. Typical best practices around clearly defining roles and scope and managing change are always applicable when implementing any technology. Adding generative AI (genAI) to CLM technology mix raises the importance of additional key actions, especially when it comes to maximizing the value of your tech investment. Data Migration While genAI powered CLM tools can be powerful, starting with clean, well-structured data helps those tools work more effectively. The most successful implementations occur when you take the time and effort to tag and categorize contract data (by jurisdiction, etc.) to enable accurate sorting and analysis, and ultimately, for accurate AI training. Tip: it will save a lot of time and energy over the short and long term if you standardize naming conventions across functions and departments upfront. System Design Simplicity is best and less is more should be your guiding principles when designing your initial CLM system workflows. Start with out-of-the-box capabilities and stick to basic configurations when starting out. No matter how tempting it may be to mirror your existing environment, it is worth leveraging the tool’s core approach to make sure all features, and particularly any native genAI, will work as expected. Avoid customization that could interfere with system support or adoption of future system releases from your vendor. Product Vernacular All CLM vendors have their own preferred nomenclature, and it will rarely align with the terminology your team currently uses to talk about contracts and processes. When working with a new vendor, be prepared to learn their language from the start. Using the same references for various actions or system capabilities avoids misunderstandings. . It is a worthwhile investment in the vendor relationship and supports an efficient deployment process. Post Implementation Tips Your new CLM tool is not a “one and done” deployment. Ongoing attention to vendor feature updates and evolving user requirements is required. The value from your tool will continue to grow if you: Stay current with vendor system releases and incorporate new features into your processes. That means continuing to train your users so they can take advantage of the system’s expanding capabilities. When incorporating genAI, keep updating your background prompts to ensure your output performance continues to be refined and kept current with evolving requirements. Reporting will also need to be updated to capture insights available from new activities. Usage policies and training A final consideration for long-term implementation success with genAI-enhanced tools: establish clear usage policies and ample training. Thomson Reuters’ Generative AI in Professional Services survey found that 52% of respondents have no genAI policies, while 64% have received no real training. Training in skills like prompt engineering, along with guardrails around genAI’s appropriate use and limitations, is essential for effective user adoption. A Risk Framework such as that available from RAILS (Responsible AI in Legal Services) offers a useful starting point for legal teams seeking to understand how to assess genAI implementation risks and set meaningful policy to enable adoption. It is also important to keep a watchful eye for where a “human-in-the-loop” is critical to police the genAI contributions and assure value is achieved through accuracy and integrity. Lastly, supplement your team with genAI experts with hands-on commercial contract work experience. An Alternative Legal Service Provider (ALSP) can help you maintain your CLM platform output and train your AI output and train your AI models for long-term success. If you are interested in learning more about how you can effectively evaluate, adopt, and optimize CLM technology in 2025, especially given the new dimension genAI creates for this class of legal tech, download our eBook, “A Legal Department’s Guide to CLM Adoption in the Age of AI.” This 8-page guide covers: Understanding Generative AI (genAI) in CLM Solutions Internal Considerations for CLM Technology CLM Vendor Selection Considerations Getting the Most Out of your CLM Solution Gaining Momentum: Tech as a Service Download the guide
Implementing GenAI for Contract Lifecycle Management: Technology Selection Criteria
This is the third blog of a five-part series on CLM Adoption in the Age of AI. Read the first blog here. Evaluating CLM systems with generative AI (genAI) capability requires some new twists in thinking about technology vendor qualifications. Experience and Reputation Established vendors with many customers would typically have an edge over newcomers as they could demonstrate a track record of successful implementations and a steady developing roadmap. With the advent of genAI, innovation and ability to demonstrate relevant outcomes move to the forefront. Smaller players who can focus on their initial customers and take input on their evolving product take on more value. An established reputation must be balanced against the ability to adopt new approaches and take the best advantage of new thinking. Don’t get distracted by a multitude of features and assess instead if the core capabilities you need are present and are being delivered with evolving evidence of innovation. AI and Process Maturity Level Potential CLM platforms offer a range of genAI integration from basic chat plug-ins for tools like Microsoft Word to completely bespoke AI-driven workflows. Understand your own AI and process maturity. Ask yourself if your organization can tackle low-code solution building or will you need help from the vendor or partners. Pre-built solutions can offer sophisticated capabilities but lack the customization and flexibility that a less hard coded approach would offer. Choose a vendor who can demonstrate continued investment in AI advancements. Understand the size of their out-of-the-box prompt library and how much it has grown over what period. Be sure to ask if you can create your own prompts or engage a partner to do so. GenAI solutions work best when tailored to your environment; knowing if you are reliant on additional vendor development to achieve optimal output is important. Integration Depth Integration flexibility is an important feature for your CLM solution. The last thing a legal team needs is an isolated tool that cannot connect with and contribute to your larger environment. A CLM operates as part of your organization’s broader technology stack and should be able to interface effectively with your CRM, case management, and other tools and repositories. A poorly integrated system or one incapable of connecting across your systems will limit future digital success. Make sure your CLM provider has a thoughtful and robust integration approach that can be accomplished using your own IT team or reasonably available partner or vendor resources. Ease of Use Always ask, is the tool simple to use? Today’s well-designed technology is approachable, intuitive, and easily learned. Users expect to be able to operate without complicated user guides and complex difficult to remember steps layers of action. End-to-end process steps should be assessed for required clicks, clarity of labels, and logical progressions. Ask how much you can tailor the on-screen experience to your own nomenclature without requiring process customization. The more system terminology is familiar to users, the easier adoption will be. The Dollars and Cents Decision If you have assessed your readiness, defined your processes, and matched your requirements with a short list of vendors then it is time to turn to financial selection criteria. The real price of a CLM tool includes not just the license model, but also the costs for system set-up and configuration, integration development, data cleansing and migration, training, and on-going support. Factor in staffing costs for system administration to handle tool updates, user permission management, reporting, and AI evolution. Consider giving these activities to a certified service provider that can work as an extension of your team and preserve your internal resources for your core business work. The Bottom Line It takes thorough planning and careful consideration to select a CLM vendor and system that will deliver on your investment with the greatest downstream value. And, once you’ve made your selection, you will need to invest in proper deployment and strong, consistent post-implementation support to achieve the returns you are targeting to enjoy. If you are interested in learning more about how you can effectively evaluate, adopt, and optimize CLM technology in 2025, especially given the new dimension genAI creates for this class of legal tech, download our eBook, “A Legal Department’s Guide to CLM Adoption in the Age of AI.” This 8-page guide covers: Understanding Generative AI (genAI) in CLM Solutions Internal Considerations for CLM Technology CLM Vendor Selection Considerations Getting the Most Out of your CLM Solution Gaining Momentum: Tech as a Service Download the guide
Five Steps to Take Before Purchasing Contract Lifecycle Management (CLM) Technology
This is the second blog of a five-part series on CLM Adoption in the Age of AI. Read the first blog here. Before you begin the process of evaluating genAI-enabled CLM systems it is important to fully understand your own environment. This includes conducting an internal assessment of your own AI and contracts process maturity. The goal isn’t to choose the “best” or most advanced CLM tool on the market, it’s to choose the solution and vendor that best addresses your specific challenges, integrates easily with your environment, and shares a similar appetite for innovation. Here are five steps to take to prepare internally before you evaluate CLM systems. 1. Map out your workflow and processes Documenting current contract management processes will give you a better understanding of how the CLM solution will function within your existing environment. Where are the inefficiencies? Are there opportunities to streamline or automate steps? For example, if you have bottlenecks in approval workflows, prioritize solutions with advanced automation or escalation capabilities. Also, consider your metrics and what you are currently and should be measuring. 2. Get your data house in order AI is only as powerful as the data it is built on. Without robust, organized, and comprehensive data inputs, you’ll be limited in what you can achieve. For the vast majority of organizations, data is often duplicated, incomplete, and lacking meaningful reference tags or taxonomies to support search. Having AI-ready data is the only way to drive a real return on investment (ROI) from any tool or process you implement. Putting in the effort or engaging services to organize your contract repository and ensure data accuracy will set you up for success as you continue your legal digital transformation journey. 3. Assess your AI readiness In addition to data readiness, there are other factors that contribute to genAI adoption readiness. Not all businesses have the same level of AI maturity. Important considerations include whether you have the right human resources available or the ability to train employees to maintain and enhance your AI tools over time. Solutions come in varying forms of complexity, and taking on more than you can handle won’t get you the results you need. Lacking resources to fully “own” and maintain the AI tools doesn’t mean that you need to postpone adoption of gen AI. Just be sure to invest in services from your vendor or another trusted third-party who can train and update the AI for you until you decide if in-house resource expertise and ownership is feasible or even required. Additionally, different organizations have different cultures when approaching AI adoption. For example, do the lawyers on your team require AI with “explainability” for its outputs, or is the team comfortable with more of a black box solution? Does the team need the AI to be fine-tuned to make redline edits or are clause location and analysis tools sufficient? Organizations that are truly ready to adopt AI have also considered any workforce impacts to adopting CLM tools. It is key to understand the roles that people play in the current contracts workflow and be prepared to address any training, upskilling or other impacts of AI adoption. 4. Define specific use cases Another best practice step to take before making your CLM technology purchase is to identify clear and specific target use cases. You have to know which tasks you want the tool to perform. Examples include: Contract creation: Develop first drafts with AI-suggested content based on a library of relevant topics and clauses. Redline review and contract clause analysis: Perform reviews based on playbook options and preferred or historical positions. Bulk extraction: identify key content for repository search tagging, risk analysis, or compliance actions. Technology adoption should flow from your specific needs. Instead of getting distracted by shiny tools or market trends, focus on identifying use cases grounded in your organization and department’s requirements. The best use cases have clear goals. Whether you’re looking to streamline contract review or automate aspects of data management, every use case should come from understanding your defined business objectives. 5. Anticipate your reporting needs Reporting is a critical element of any CLM solution. Therefore, it’s essential to understand what information matters most to your department and satisfies broader organizational interests. Consider which insights are most critical, such as basic workflow metrics like volumes, turnaround times (TAT), approval and escalation counts, etc. Or, your team may require advanced content analysis, such as most negotiated terms, frequency of deviations from standard agreements, the ability to classify risks, etc. Be sure you understand what data points your selected CLM tool captures, what is surfaced by out-of-the-box reports, and what can be exported to more sophisticated data visualization tools like MS Power BI, that you might be able to leverage from your broader IT environment. Lastly, determine if you need to understand legacy portfolio of agreements, or if the focus should be solely on current and future contracts. By anticipating your reporting requirements, you will be better positioned to choose a CLM tool that delivers meaningful insights. This is the second blog of a five-part series on CLM Adoption in the Age of AI. Read the first blog here. If you are interested in learning more about how you can effectively evaluate, adopt, and optimize CLM technology in 2025, especially given the new dimension genAI creates for this class of legal tech, then download our eBook, “A Legal Department’s Guide to CLM Adoption in the Age of AI.” In this guide, we aim to provide some new parameters for how businesses evaluate, adopt, and optimize their CLM tools, especially given the expanded use of generative AI. From the latest advancements to practical implementation strategies, we will share insights to help you make the best decisions when it comes to your CLM technology strategy today – and unlock the power of your legal data. Download it today. This 8-page guide covers: Understanding Generative AI (genAI) in CLM Solutions Internal Considerations for CLM Technology CLM Vendor
Navigating the Multilingual Maze: Document Review in Cross-Border Litigation and Regulatory Investigations
As cross-border litigation and regulatory investigations become increasingly common, document review professionals and providers are frequently tasked with reviewing documents spanning multiple languages. The Challenge Global organizations are generating data across continents and communication platforms. Cross-border litigation is on the rise, and regulators are increasingly taking an international rather than domestic view. As a result, disputes and investigations frequently involve the collection, review and production of data generated in multiple jurisdictions and languages. Without the right tools and workflows this can add a further layer of cost, time and complexity to the eDiscovery process. The prospect of multilingual disclosure can be daunting, but with the availability of language detection tools and machine translation, it is becoming more manageable. However, while these tools offer speed and scalability, human validation remains critical to ensure accuracy, context, and legal defensibility. The Role of Technology in Multi-language Review Modern translation and language identification technologies have evolved significantly thanks to advancements in AI and natural language processing, including eDiscovery technology tools. Many offer functionality that can detect primary and secondary languages across data sets, and the percentages of each language by document. Machine translation is now capable of delivering clear and coherent translations that provide valuable insight into document content. It is particularly effective for early-stage / early case assessment (ECA) review, allowing teams to quickly assess relevance, prioritise documents, and streamline triage workflows. Read Here Human Validation Still Matters Even with recent advancements and improvements, automated language detection and translation is not a substitute for human interpretation and review, especially in high-risk scenarios like litigation, regulatory review or privilege assessments. Translation tools can misinterpret legal terminology, cultural nuances, or industry-specific jargon and inaccurate translations may lead to missed issues or misclassification of documents, all of which can have serious consequences. Human reviewers, fluent in the relevant languages, play a critical role in validating automated machine output, especially for key documents or those marked as potentially privileged or highly relevant. They ensure that the nuances of language, tone, and context are correctly understood and that any ambiguities are resolved. Best Practice: A Hybrid Approach The most effective approach to multilingual review in eDiscovery combines the speed and efficiency that technology can deliver with human oversight. Here are a few best practices: Language Identification: Use technology to identify the languages present in the dataset early on to inform staffing decisions and workflow design. Strategic Translation: Avoid translating everything by using machine translation for low-risk documents and prioritise human translation or review for documents more likely to be relevant and those central to case strategy. Leverage Bilingual Reviewers: Where possible, assign native or fluent speakers to key parts of the review to add context and accuracy to document coding decisions. Document Workflows Clearly: Ensure that your review methodology, including the role of technology and human validation, is documented to support defensibility if challenged. Monitor and calibrate: Track the effectiveness of your workflows and adjust as needed as continuous feedback between AI output and human reviewers improves results over time. Advancements in technology have transformed multilingual document review, making it faster and more manageable. However, the value of human insight remains essential. By adopting a hybrid approach that leverages the strengths of both, legal teams can ensure accuracy, defensibility, and efficiency in even the most complex multilingual matters. Learn more about how our experts can help with your multilingual document review needs.