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Delivering agentic AI to law firms globally using AWS with stp.one
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Description
stp.one, a Karlsruhe, Germany-based legal tech provider founded in 1993, built Legal Twin, an AI-driven platform integrated with its document management system STP Documents, using Amazon Bedrock (including Anthropic's Claude and the Titan embedding model) and Amazon Aurora PostgreSQL. Legal Twin offers six AI-powered capabilities including intelligent contract risk analysis and automated receivables processing, with responses grounded in case documents and court decisions and citations shown so lawyers can verify sources. It supports Model Context Protocol integration and lets clients with data sovereignty requirements store and process data locally, connecting on-premises storage with cloud-based processing. Certain claims that traditionally took 6-10 minutes to file can now be processed in under 30 seconds using Legal Twin, and productivity gains for users reach up to 3x at the upper end. The platform must comply with GDPR and Germany's federal code for lawyers.
…unity | Building Legal Twin on AWS to drive efficiencies for law firms globally Founded in 1993, stp.one is a leading provider of AI-based legal tech software in Europe. Even while faced with talent shortages and evolving regulatory requirements, la…
…ol what data we use with the data privacy features that Amazon Bedrock offers.” The company developed six unique AI-powered capabilities for Legal Twin, which range from intelligent contract risk analysis to automated receivables processing. To generate documents and answers using natural language processing, stp.one us…
…, an open-source standard for connecting AI applications with external systems. Clients that must meet stringent data retention and data sovereignty requirements can also choose to store and process all their data locally. “We are the only company that makes it possible for notaries to use cloud-based…
…analysis, document retrieval, invoicing and collections, and more. For example, certain claims traditionally take 6–10 minutes to file, and by using Legal Twin, users can process those same claims in under 30 seconds. Further, stp.one’s fully managed strategy has freed up its developers to focus…
Company
stp.one
…ng outcomes for their clients. See it in action : Demo Video Play About stp.one Headquartered in Karlsruhe, Germany, stp.one is committed to making legal workflows more efficient, transparent, and digital using modern cloud technologies, AI-powered analytics, and practical tools for everyday work. Opportunity | Building Legal Twin on AWS to drive efficiencies for law firms gl…
Country
Germany
…ng outcomes for their clients. See it in action : Demo Video Play About stp.one Headquartered in Karlsruhe, Germany, stp.one is committed to making legal workflows more efficient, transparent, and digital using modern cloud technologies, AI-powered analytics, and practical tools for everyday work. Opportunity | Building Legal Twin on AWS to drive efficiencies for law firms gl…
Region
Europe
…ng outcomes for their clients. See it in action : Demo Video Play About stp.one Headquartered in Karlsruhe, Germany, stp.one is committed to making legal workflows more efficient, transparent, and digital using modern cloud technologies, AI-powered analytics…
Industry
Legal
…Legal Twin on AWS to drive efficiencies for law firms globally Founded in 1993, stp.one is a leading provider of AI-based legal tech software in Europe. Even while faced with talent shortages and evolving regulatory requirements, la…
Problem
From case filings to dockets, legal professionals often review and draft hundreds, and even thousands, of documents over the course of a single case. As case law becomes more complex and the talent pool shrinks, law firms face the challenge of delivering the best outcomes for their clients while managing growing caseloads. Even while faced with talent shortages and evolving regulatory requirements, law firms are managing more and more cases, each involving critical deadlines for filing motions and responding to requests.
…rocess claims 30 productivity increase (at the upper end) for users 3x Overview From case filings to dockets, legal professionals often review and draft hundreds, and even thousands, of documents over the course of a single case. As case law becomes more complex and the talent pool shrinks, law firms face th…
…ft hundreds, and even thousands, of documents over the course of a single case. As case law becomes more complex and the talent pool shrinks, law firms face the challenge of delivering the best outcomes for their clients while managing growing caseloads. That’s where stp.one , a global software company, comes in. Driven by a vision…
Solution
To develop AI-powered capabilities, stp.one adopted Amazon Bedrock, which provides its teams with access to hundreds of foundation models from leading AI companies. The company developed six unique AI-powered capabilities for Legal Twin, which range from intelligent contract risk analysis to automated receivables processing. To generate documents and answers using natural language processing, stp.one uses Anthropic's Claude in Amazon Bedrock. The company built Legal Twin on top of the document management system STP Documents, which uses Amazon Aurora PostgreSQL to power semantic searches with high performance and availability at global scale for PostgreSQL. To perform semantic searches across its cloud-based vector store, stp.one selected the Titan embedding model in Amazon Bedrock. Legal Twin also features flexible integration options: clients can embed the solution directly into their workflows using the Model Context Protocol (MCP), and clients that must meet stringent data retention and data sovereignty requirements can also choose to store and process all their data locally, connecting on-premises storage solutions with cloud-based processing.
…ulations.” Solution | Streamlining complex legal workflows using Amazon Bedrock To develop AI-powered capabilities, stp.one adopted Amazon Bedrock , which provides its teams with access to hundreds of foundation models from leading AI companies. By using Amazon Bedrock, stp.one’s developers have the greatest model choice an…
…ol what data we use with the data privacy features that Amazon Bedrock offers.” The company developed six unique AI-powered capabilities for Legal Twin, which range from intelligent contract risk analysis to automated receivables processing. To generate documents and answers using natural language processing, stp.one us…
…ge from intelligent contract risk analysis to automated receivables processing. To generate documents and answers using natural language processing, stp.one uses Anthropic’s Claude in Amazon Bedrock. The company built Legal Twin on top of the document management system STP Docum…
…searches with high performance and availability at global scale for PostgreSQL. To perform semantic searches across its cloud-based vector store, stp.one selected the Titan embedding model in Amazon Bedrock. By using STP Documents as its knowledge base, Legal Twin’s responses rely on ca…
…that’s being provided.” Legal Twin also features flexible integration options. Clients can embed the solution directly into their workflows using the Model Context Protocol (MCP), an open-source standard for connecting AI applications with external systems. Clients that must meet stringent data retention and data sovereignty requiremen…
Technology
Amazon Bedrock, Anthropic Claude, Amazon Titan embedding model, Amazon Aurora PostgreSQL, Model Context Protocol
…omplex legal workflows using Amazon Bedrock To develop AI-powered capabilities, stp.one adopted Amazon Bedrock , which provides its teams with access to hundreds of foundation models from le…
…rocessing. To generate documents and answers using natural language processing, stp.one uses Anthropic’s Claude in Amazon Bedrock. The company built Legal Twin on top of the document management system STP Docu…
…r PostgreSQL. To perform semantic searches across its cloud-based vector store, stp.one selected the Titan embedding model in Amazon Bedrock. By using STP Documents as its knowledge base, Legal Twin’s responses rely on c…
…built Legal Twin on top of the document management system STP Documents , which uses Amazon Aurora PostgreSQL to power semantic searches with high performance and availability at global scale for PostgreSQL. To perfo…
…options. Clients can embed the solution directly into their workflows using the Model Context Protocol (MCP), an open-source standard for connecting AI applications with external systems. Clients that must meet st…
Applicable regulations
General Data Protection Regulation (GDPR)
…aralegals can use to better prepare for court.” Serving notaries and law firms, stp.one’s software must comply with the GDPR as well as Germany’s federal code for lawyers and other data residency requirements. “We needed to take care that the whole chain of regulations are fulfilled from…
Business value
Certain claims traditionally take 6-10 minutes to file, and by using Legal Twin, users can process those same claims in under 30 seconds. Legal Twin is helping law firms around the world accelerate their legal research, litigation discovery, case records analysis, document retrieval, invoicing and collections, and more. Benefits cited include a productivity increase of up to 3x for users at the upper end.
…analysis, document retrieval, invoicing and collections, and more. For example, certain claims traditionally take 6–10 minutes to file, and by using Legal Twin, users can process those same claims in under 30 seconds. Further, stp.one’s fully managed strategy has freed up its developers to focus…
…chase additional GPUs.” Outcome | Innovating with multi-agent systems using AWS Legal Twin is helping law firms around the world accelerate their legal research, litigation discovery, case records analysis, document retrieval, invoicing and collections, and more. For example, certain claims traditionally take 6–10 minutes to file, and by usi…
…mpliant AI platform built on AWS. Benefits seconds or less to process claims 30 productivity increase (at the upper end) for users 3x Overview From case filings to dockets, legal professionals often review and dra…
AI capabilities
Agentic AI, Document Intelligence
…h the company’s document management system. Built on Amazon Web Services (AWS), Legal Twin offers powerful agentic AI capabilities that help legal professionals triple their productivity and win strong outcomes for their clients. See it in action : Demo Video Play A…
…y developed six unique AI-powered capabilities for Legal Twin, which range from intelligent contract risk analysis to automated receivables processing. To generate documents and answers using natural language processing, stp.one u…
Deployment model
cloud, hybrid
…, an open-source standard for connecting AI applications with external systems. Clients that must meet stringent data retention and data sovereignty requirements can also choose to store and process all their data locally. “We are the only company that makes it possible for notaries to use cloud-based…
Deployment options
cloud, hybrid
…it possible for notaries to use cloud-based AI capabilities,” says Eisenberg. “We can connect up on-premises storage solutions and cloud-based processing, which means that notaries can take advantage of AI features without having to purchase additional GPUs.” Outcome | Innovating with multi-agent systems using AWS Legal Twin is helping l…
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