Streamlining legal document compliance
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Clerkbridge, a North Carolina-based startup, uses Meta Llama to anonymize attorney-privileged data and streamline legal document generation. Additionally, Clerkbridge leverages Llama to monitor and track terms of service, privacy policies, costs, and data policies, alerting users to changes and recommending new models and applications based on usage data, thereby enhancing compliance and operational efficiency.
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13
AI use cases in
Legal
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Trilegal implemented an enterprise-grade AI-driven document management solution tailored for legal workflows. Powered by Azure OpenAI and Cognitive Services, the system automates sorting, auto-tagging, translations, summaries, and OCR functionalities to organize vast document repositories and reduce repetitive tasks. This integration streamlines document lifecycle management, enabling lawyers to focus on high-value strategic work.
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Thomson Reuters uses Claude in Amazon Bedrock as part of its AI platform CoCounsel, helping legal and tax professionals synthesize expert knowledge and deliver comprehensive advice to clients.
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Law&Company, a legal technology firm in South Korea, uses Anthropic's Claude and Claude 3.5 Sonnet to power SuperLawyer, the country's first AI legal assistant. SuperLawyer helps lawyers automate routine tasks such as legal research, document drafting, case law summarization, and compliance checking. By implementing a Retrieval Augmented Generation (RAG) system and leveraging Claude's function-calling capabilities, SuperLawyer provides accurate and efficient legal support, allowing lawyers to focus on high-value tasks.
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151
companies using
Data Agents
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wealthAPI implemented a next‐gen contract detection solution by integrating DataStax Astra DB on Google Cloud and leveraging Google Gemini models for AI‐powered analysis. They deployed DataStax’s vector search and real‐time insights capabilities to scale contract detection across millions of users in less than three months, streamlining wealth management workflows by dramatically reducing response times and efficiently handling massive data volumes.
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Aura Intelligence integrated Anthropic's Claude via Amazon Bedrock into its data pipeline to automatically classify over 200 million job titles and industry pairings from multi-language data, replacing manual lookups and fuzzy matching. They fine-tuned foundation models on proprietary datasets and leveraged AWS infrastructure, including SageMaker and prompt management, to automate QA, report generation, anomaly detection, and real-time hiring trend analysis.
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LaunchNotes leverages Claude in Amazon Bedrock in their product 'Graph' to transform engineering data into actionable insights. Graph functions as an ETL platform with Claude managing data pipelines, helping engineering managers understand development metrics, reduce incident identification time, automate updates, and generate customized release notes and technical documentation.
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49
solutions powered by
Meta
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Roboflow uses Meta's Segment Anything Model (SAM) to enable users to automatically segment objects in images and videos, significantly reducing the time required to create training datasets for computer vision models.
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Untukmu.AI, an online gifting site in Indonesia, uses Meta's Llama 3.1 8B model with split inference processing to protect customer privacy. By running part of the AI model on customers' devices and the rest on their servers, they deliver personalized gift recommendations without accessing or storing personal data. This ensures customer privacy while still providing high-quality, tailored suggestions, enhancing trust and satisfaction.
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CodeGPT, a popular coding assistant with over 1.4 million downloads, integrates Meta's Llama models to enhance developer productivity. By using Llama 3.2 (90B), CodeGPT helps developers not just generate code but also answer questions about their codebase, debug code, and onboard new team members. It includes a codebase graph mechanism that lets Llama understand entire repositories, allowing developers to effectively "talk" with their code. This integration leads to at least a 30% increase in productivity and accelerates onboarding from months to days.
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284
AI use cases in
North America
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Cox Automotive integrated Claude via Amazon Bedrock into its portfolio by first creating a sandbox environment to evaluate performance metrics and then selecting Claude 3.5 Sonnet for complex tasks and Claude 3.5 Haiku for high-volume content generation. They automated personalized dealer-consumer communications, generated engaging vehicle listing descriptions, and produced SEO-optimized blog posts, while also streamlining internal data governance through automated metadata generation. This integration optimized operational efficiency across marketing and internal data processes.
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Intuit integrated Google Cloud’s Document AI and Gemini models into its GenOS platform to automate the autofill of ten common U.S. tax forms, including complex 1099 and 1040 forms. The solution extracts and categorizes data from uploaded documents, drastically reducing manual data entry for TurboTax customers. This integration streamlines tax preparation workflows and improves speed and accuracy.
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Block implemented Anthropic’s Claude models (Claude 3.5 Sonnet and Claude 3.7 Sonnet) on its Databricks platform to power its internal AI agent, codename goose. They integrated the LLM using secure OAuth-enabled connections and a custom MCP server to connect internal databases and tools, enabling employees across all roles to auto-generate SQL queries, analyze complex data, and automate workflows. This agentic integration streamlined software development, design prototyping, and data analysis by translating user intents into actionable insights.
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