Legal
82 documented deployments, 2.1% of the record. What they do, what they report and how they are built.
Data updated
The read
Written 19 Jun 2026 from 40 representative deployments. The figures on this page are live.
Legal AI adoption is centering on repeatable document-heavy workflows: legal workflow automation, contract analysis and lifecycle management, document review, drafting, summarization, document processing, and semantic search. These use cases directly target the biggest pressure points in the evidence: manual contract drafting and review, slow contract turnaround, onboarding and intake friction, and the burden of large, diverse document volumes. The pattern is now fairly mature around extraction, review, search, and summarization, while agentic systems for research, drafting, calendaring, risk analysis, and workflow orchestration look newer and more experimental, albeit already moving into production for complex legal operations.
What is distinctive about Legal
Legal drafting assistance agent is 35.1× more common here than across the whole record.
Lift compares a pattern’s share of deployments here with its share everywhere. 1× means no difference.
- Legal drafting assistance agent5 here of 7 in total35.1×
- Legal drafting automation5 here of 7 in total35.1×
- Legal document agent20 here of 31 in total31.7×
- Legal practice management5 here of 10 in total24.6×
- Contract analysis copilot6 here of 14 in total21.1×
- Legal workflow copilot10 here of 26 in total18.9×
The most common patterns
Legal document agent leads with 20 deployments from 18 organizations.
- Legal document agent18 organizations · 1 in the last 6 months20
- Legal workflow copilot9 organizations · 0 in the last 6 months10
- Contract analysis copilot6 organizations · 0 in the last 6 months6
- Legal document agent5 organizations · 1 in the last 6 months5
- Legal drafting assistance agent5 organizations · 0 in the last 6 months5
- Legal drafting automation5 organizations · 0 in the last 6 months5
- Legal practice management5 organizations · 0 in the last 6 months5
- Document review3 organizations · 0 in the last 6 months3
Across business functions
Legal & Compliance accounts for the most deployments here: 82.
A deployment can serve several functions.
- Legal & Compliance100% of this dossier82
- Operations96% of this dossier79
- Research & Development46% of this dossier38
- Human Resources28% of this dossier23
- Marketing23% of this dossier19
- Finance13% of this dossier11
- Supply Chain13% of this dossier11
- Customer Service9% of this dossier7
What deployments here report
19 Legal deployments publish a quantified result.
Time & speed
22 metrics
Reduction · median and middle half−35%fewMedian reduction −35%, middle half −33% to −38%, from 2 metricsQuality & accuracy
3 metrics
No reductions reportedIncrease · median+20%1 metric · fewProductivity & throughput
2 metrics
Reduction · median and middle half−50%fewMedian reduction −50%, middle half −50% to −50%, from 1 metricCost savings
1 metric
Reduction · median and middle half−35%fewMedian reduction −35%, middle half −35% to −35%, from 1 metric
Grey figures rest on fewer than 5 published metrics. Read them as examples, not as a typical result.
How it is built
Microsoft appears in 84% of these deployments.
- Custom-built56% · 37
- Low-code9% · 6
- Bought26% · 17
- Mixed9% · 6
The build approach is known for 66 of 82 deployments (80%). The rest are left out.
Cloud providers named
Compare providers across all industries- Microsoft69 deployments84%
- AWS7 deployments9%
- GCP3 deployments4%
- IBM3 deployments4%
The highest-ranked deployments
The top 10 of 40 ranked deployments, by innovativeness adjusted for age.
Only records with high or medium evidence strength are ranked.
- 21 May 2025LegalSingapore
Rajah & Tann streamlines legal operations and client service through workflow automation
Rajah & Tann · Legal workflow automation · Microsoft
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.
AgenticProduction
- 29 Apr 2026LegalGermany
stp.one delivers agentic legal AI using Amazon Bedrock (Legal Twin)
stp.one · Legal workflow automation · AWS
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.
Multi-agent
- 27 May 2026LegalAustria
Transforming Legal Analysis: MANZ Integrates AI Research Tools
MANZ · Legal research assistant · AWS
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.
+>20%accuracy - 28 Mar 2026LegalUnited States
Shorthills AI - Trusted Legal AI with watsonx.data hybrid search
Shorthills AI · Legal AI assistant · IBM
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.
9×diversity of legal arguments - 29 Jul 2025LegalGlobal
Epiq Global revolutionizes legal productivity and review processes
Epiq Global · Legal document automation · Microsoft
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.
Multi-agentProduction
−80%quantified impact - 12 Jun 2025LegalUnited States
ndMAX Revolutionizes Legal Document Workflows with Microsoft-Powered AI
NetDocuments · Legal document automation · Microsoft
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.
AgenticProduction
↓ >1.5 htime - 22 May 2025LegalUnited States
Law Firms Save Up to 25 Hours Per Case with Automated Legal Workflow Platform
Assembly Software · Legal document automation · Microsoft
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.
Production
↓ 40 htime - 22 May 2025LegalUnited States
Harvey automates legal document review and workflows for major law firms and enterprises
Comcast · Legal document automation · Microsoft + GCP
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.
AgenticScaled Production
- 14 Mar 2025LegalUnited Kingdom
Crown Prosecution Service Accelerates Legal Document Review with AI Case Explorer
Crown Prosecution Service · Document review · Microsoft
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.
AgenticProduction
- 13 May 2026LegalAustralia
Smokeball automates legal admin workflows using Amazon Bedrock and Amazon SageMaker
Smokeball · Legal workflow automation · AWS
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.
+≤30%time