Legal AI Deployments

Rajah & Tann, a leading Singapore law firm, addressed the legal industry’s challenges of handling vast volumes of documentation and time-consuming administrative tasks by implementing Copilot for Microsoft 365. In partnership with Crayon, the firm ensured a secure and seamless deployment. The initiative involved technical and security readiness, user training, and tailored change management. With Copilot integrated into Microsoft Teams, lawyers now instantly generate meeting minutes and automate repetitive administrative work. The transformation sharply reduced turnaround time for documentation from days to hours, enabling lawyers to focus on high-value legal analysis and strategy. Crayon contributed expertise in licensing, infrastructure, and ongoing support to maximize the benefits and secure data. As a result, Rajah & Tann serves as a pioneering model for AI-driven legal operations across Asia, highlighting tangible efficiency gains, workflow transformation, and improved client responsiveness.

stp.one is a Germany-based legal tech software provider serving law firms and notaries with document-heavy case workflows.,The company built Legal Twin on AWS to accelerate legal research, litigation discovery, case analysis, document retrieval, invoicing, and collections while meeting GDPR and data-residency requirements.

OneUptime built an AI-powered legal document review system using Google Cloud technologies to accelerate contract analysis.,The system ingests contracts using Document AI for OCR, indexes documents with Vertex AI Search, and uses Gemini for legal clause analysis, risk assessment, obligation extraction, and contract comparison.,AI-powered analysis enables reduction of manual review time from days to minutes, focusing lawyers on high-skill judgment tasks.,The platform includes a review dashboard integrating search results and AI-generated insights for streamlined legal workflows.

MANZ built an AI-powered legal assistant called MANZ Genjus KI with AWS Partner deepset and Anthropic.,The system helps legal professionals conduct complex searches, answer intricate legal questions, generate summaries, and draft contracts.,It uses Amazon S3, Amazon OpenSearch Service, Amazon Redshift, and Amazon Bedrock as part of a RAG-backed legal research workflow.

Shorthills AI built a production-grade legal AI assistant capable of delivering complete, accurate, citation-backed answers at enterprise scale.,The solution uses IBM watsonx.data to support secure hybrid retrieval over hundreds of thousands of legal documents.

Epiq Global has launched an innovative agentic AI platform for the legal sector as part of the Epiq Service Cloud, blending proprietary Epiq technology, Microsoft Copilot custom agents, Azure AI Foundry, and best-in-class third-party tools.,The platform automates and orchestrates complex legal workflows across contracts, litigation, compliance, and knowledge management, enabling thousands of legal professionals in corporate departments and law firms to boost efficiency and decision-making.,Notable integrations include Microsoft Copilot custom agents and leading legal AI solutions (such as ContractPodAI, RelativityOne, and Canopy) managed in a unified, scalable framework.,The agentic AI system allows for tenfold productivity in document review, dynamic knowledge management, and substantial reductions in review timelines and costs.,Case studies illustrate tremendous cost savings (millions of dollars on complex document reviews), accelerated legal services delivery, and improved regulatory and risk compliance.,The platform is deployed to over 2,600 clients and serves 65,000 users.,Epiq’s managed service and change management teams ensure rapid, effective AI adoption by clients.,Agentic automation helps with eDiscovery, deposition preparations, HSR filings, and knowledge search.,Integrated decision support and oversight mechanisms enable responsible and secure AI adoption for legal organizations globally.,Large-scale clients, like leading banks and multinational law firms, have benefited from up to 10x productivity gains and cost reductions exceeding $10M.

NetDocuments' ndMAX suite transforms legal document workflows using Microsoft Azure OpenAI capabilities. This new platform enables legal teams to enhance contract analysis, automate playbook executions, and customize app-building for firm-specific needs. With a focus on confidentiality and robust security measures, it brings generative AI directly into Microsoft 365 applications, significantly reducing manual work. Legal teams report annual savings of over 1,500 hours while maintaining rigorous compliance and privacy.

Law firms and legal departments globally face the challenge of efficiently processing and analyzing vast numbers of legal contracts—a historically manual, error-prone, and resource-intensive process. IBM Consulting's Global Intelligent Workflows on Azure leverages advanced Azure AI services, IBM Content Intelligence, PowerAutomate, and Power Platform to automate and digitize legal contract analysis. The platform is designed for rapid prototyping, scaling, and global deployment, and integrates seamlessly with local enterprise systems. Human-in-the-loop controls help maintain regulatory compliance and oversight for compliance-critical workflows. A reference architecture underpins each deployment, with prebuilt flows and domain-specific connectors ensuring flexibility across industries. The solution has demonstrated substantial operational benefits, including reducing manual effort and errors while providing robust digitization and content understanding. A key reported benefit includes a dramatic reduction in operational costs and significant improvements in processing speed and accuracy for legal contract analysis, including deployments in Belgium.

Assembly Software developed NeosAI, an AI-powered legal workflow automation platform used by law firms. NeosAI leverages Microsoft Azure AI tools, with core features including document drafting automation, contextual search via retrieval-augmented generation, data extraction using Azure AI Document Intelligence, and OCR through Azure AI Vision. Planned enhancements include audio transcription with Azure AI Speech. The platform maximizes security and privacy, utilizing Microsoft Defender and strict compliance with zero data retention policies. Law firms report significant productivity gains, such as reducing document creation from 40 hours to minutes and saving up to 25 hours per case. Deployed in under six months, NeosAI optimizes legal team performance, reduces errors, and supports compliance in US law firms, with prospects for global expansion.

LexisNexis Protégé is a personalized AI-powered legal assistant that integrates into Microsoft 365 Copilot and Microsoft Teams, enabling legal professionals to streamline workflows such as contract review, risk assessment, and real-time document collaboration. By leveraging proprietary agentic AI and grounding responses in LexisNexis authoritative content as well as secure client DMS data, Protégé personalizes experiences for each user and workflow. Teams users invite Protégé as a meeting participant, where it summarizes contract clauses, identifies risky language, and escalates action items. The assistant automates meeting prep and follow-up, provides drafting suggestions in Word, and supports a secure, private AI environment. Early pilots demonstrated meaningful improvements to speed, quality, and compliance for legal professionals. The integration launched in preview in May 2025, as part of an ongoing digital transformation for law firms using Microsoft’s generative AI platform.

Harvey, a legaltech startup, has secured a $150 million Azure Commitment over two years to expand its AI-powered legal agents platform. Harvey builds chatbots and workflow automation tools tailored for legal and professional services, automating sensitive document review, interactions, and secure file access. The platform is deployed on Microsoft Azure, integrates with Microsoft Word (via a plug-in for lawyers), and offers SharePoint integration, allowing legal teams to securely manage and process legal documents. High-profile clients include Comcast and Verizon, as well as large law firms. Harvey has trusted Microsoft's infra and OpenAI models (hosted on Azure) to address stringent privacy and compliance concerns within the legal sector. The company started with Azure and recently included Google and Anthropic models but maintains Azure as a core part of its technology stack. This significant cloud investment reflects Harvey's rapid growth and the criticality of secure workflow and document automation in the legal industry.

LawToolBox, a UK-based legal technology provider, developed an AI-powered legal calendaring app integrated with Microsoft Teams and Microsoft 365 Copilot. Leveraging Azure OpenAI and the Teams AI library, the solution automates deadline extraction from diverse sources, ranging from emails to hand-written orders. The app also summarizes emails and drafts responses, helping lawyers process large amounts of legal documents with improved efficiency while maintaining strict data privacy within the Microsoft 365 environment. In addition to automating calendaring, LawToolBox created a Copilot plugin that enables lawyers to conduct organization-wide searches, aggregating matter-specific content across emails, calendars, chats, and documents for streamlined case management. This plugin simplifies generating content-specific summaries and recalibrating deadlines directly from Copilot prompts. A new premium subscription tier was introduced to support these advanced AI functionalities, offering lawyers a next-generation legal assistant experience. LawToolBox’s solution exemplifies how ISVs can rapidly adopt and scale AI-powered productivity tools for legal professionals leveraging Microsoft’s ecosystem.

Epiq Global utilized Microsoft Power Apps and Power Automate to automate its customer onboarding process. The changes significantly reduced complexity in mass tort claim processing, enhanced operational efficiency, and cut response times for client requests.

Simmons & Simmons, a global law firm, developed Percy AI, a Generative AI platform, utilizing Microsoft Azure OpenAI services. Percy AI accelerates legal tasks like document drafting, comparison of witness statements, and industry risk analysis using Retrieval-Augmented Generation. It enhances operational efficiency, service quality, and introduces innovative AI-driven tools transforming how their legal teams work.

The UK Crown Prosecution Service (CPS) partnered with NTT DATA to deploy a generative AI-based 'Case Explorer' system to automate and enhance the legal document review process. Leveraging Microsoft Azure OpenAI technology and Microsoft 365 Copilot, the solution addressed the challenge of handling vast volumes of legal documents that can extend to thousands of pages for a single case. This RAG-powered, agentic workflow system intelligently surfaces the most critical information, improving the speed, accuracy, and efficiency of reviews by legal professionals. This real-world implementation delivered notable productivity gains, transforming previously manual, time-consuming legal procedures at the CPS.

Smokeball is a Sydney-based legal practice management company serving more than 6,000 law firms across Australia, the UK, and the US. The company built Smokeball AI to reduce administrative work that takes time away from billable legal work.,The implementation targets document creation and review, client intake, and time tracking workflows that are common in law firms and directly affect productivity and revenue capture.

KPMG is expanding its AI collaboration with Google Cloud to deploy Agentspace and Vertex AI Agent Builder for client-facing and internal use cases.,The article highlights AI-assisted contract review, legal research, contract lifecycle management, and internal employee productivity improvements.,KPMG is also developing a commercial lending assistant and multi-agent solutions for finance, procurement, risk, and compliance workflows, using Google Cloud AI capabilities.

LexisNexis, a global information and analytics leader, transformed legal workflows by integrating Microsoft Copilot for Microsoft 365 and building custom AI solutions directly into Microsoft Teams and Word. Leveraging Copilot's extensibility, LexisNexis launched Copilot extensions such as Ask Legal—empowering legal professionals to retrieve policy answers and manage requests within Teams. Complementing this, they developed a proprietary Lexis+ AI-powered custom copilot for Teams, facilitating generative AI for legal document drafting, summarization, and conversational search over an extensive legal library. These agentic solutions, built with Bot Framework SDK, Teams AI library, and supported by GitHub Copilot, not only enhance productivity and workflow automation, but also strengthen data security through integration with Microsoft Entra ID. The deployment led to faster drafting, aligned search experiences across Microsoft apps, and significant reductions in context switching for legal professionals globally.

Robin AI helps legal professionals save time and speed contract work using generative AI and AWS.,The solution uses Amazon Bedrock with large language models such as Anthropic’s Claude 3 to provide generative AI capabilities while keeping data secure within Robin AI’s own cloud environment.,Robin AI says lawyers and paralegals can process hundreds of pages of contracts in just a few seconds.

LexisNexis has introduced Protégé, a next-generation personalized AI assistant powered by agentic AI and generative AI, leveraging Microsoft Azure and Azure OpenAI Service. Developed in collaboration with leading law firms, corporations, and law schools, Protégé is embedded within the Lexis+ AI workflow solution and integrated with Microsoft Word to automate, draft, and analyze complex legal documents at scale. The agentic AI in Protégé can autonomously complete tasks based on user goals, review and improve its own work, and suggest workflow actions tailored to the user's context. Users can upload thousands of documents and have Protégé summarize, draft, research, and generate timelines or discovery questions, along with linking quotations back to source documentation. The system is personalized to each user's role, jurisdiction, and style, and integrates with DMS like iManage and SharePoint, facilitating tailored legal outcomes securely and privately.,A proprietary Retrieval Augmented Generation (RAG) platform powers the solution, grounding LLM answers in LexisNexis' trusted legal content and metadata. LexisNexis' responsible AI principles, advanced encryption, and privacy controls underscore the platform's compliance. More than 50 major legal industry partners drove the innovation, aiming to unlock efficiency, productivity, and enhanced accuracy for legal professionals while safely leveraging the latest in AI technology.