AI use cases for Legal & Compliance
15 documented implementations
Valley National Bank automates 61% of sanction-hit reviews with a UiPath AI agent
Valley National Bank's Sanctions Compliance Manager, quoted in a UiPath press release, reports that since implementing an AI agent for Transaction Screening Alert Review, the bank has automated 61% of sanction-hit reviews and is handling an average of 14,000 alerts monthly, freeing up branch and operations resources, enabling faster payments and improving the employee experience, with a meaningful reduction in its OFAC volumes.
SumatoSoft builds a private LLM compliance copilot inside a European digital bank's own cloud
A licensed European digital bank (Lithuania) had compliance analysts reading policy by hand and writing case narratives from long transaction histories. SumatoSoft built a private RAG copilot with a LoRA fine-tuned Llama 3 model running in the bank's Azure account, citing the policy clause behind each answer, with analyst sign-off. The source reports onboarding reviews of about five business days now take about two, and case narratives about 90 minutes down to about 25.
Íslandsbanki cuts legal document review time 5-10x with a Microsoft Copilot Studio AI agent
Íslandsbanki, an Icelandic bank subject to full EU/EEA financial regulation, deployed Microsoft 365 Copilot, GitHub Copilot, Copilot Studio and Microsoft Foundry to embed AI across the organization while meeting strict compliance requirements. Its legal services team built a Copilot Studio agent that generates an initial draft and supports review of legal documents, cutting document-handling and processing time by an estimated five to ten times, while active AI usage reached 95% of employees monthly and 86% weekly.
KPMG deploys tens of thousands of employee-built AI agents on Microsoft's AI stack
Professional services firm KPMG integrated Microsoft 365 Copilot into daily tools for 280,000 professionals and used Copilot Studio and Azure AI Foundry to let employees build their own AI agents and micro-use cases, deploying tens of thousands of them. One onboarding agent that helps new hires find templates and historical context reduced follow-up calls by 20%, and an enterprise-grade ESG agent that automates policy lifecycle management contributed to an 18-month reduction in compliance timelines. Department-level agents include KPMG Clara for audit risk detection and a Digital Gateway for real-time tax regulatory analysis.
Athena Intelligence compresses enterprise knowledge work using Claude
Athena Intelligence built an AI-native workspace and autonomous agent platform powered by Claude that serves Fortune 500 enterprises, law firms, financial services organizations, healthcare systems, and government agencies. The platform deploys production enterprise workflows in 4-8 weeks versus a 6-12 month industry standard, runs over 10,000 autonomous workflows weekly, and at an AmLaw 100 law firm fully automated the generation and distribution of 400 monthly compensation memos end-to-end, cutting a 2-3 day manual process to an overnight run with zero manual intervention.
Prague Airport improves productivity by bringing AI into everyday work with Microsoft 365 Copilot
Prague Airport deployed Microsoft 365 Copilot, Azure AI Services and Copilot Studio to over 300 employees, using Azure AI Vision for document processing and Azure AI Services to classify restaurant customer feedback, with staff saving up to two hours a week.
Sphere builds its AI platform using Oracle Autonomous Database
Sphere Global Holdings built its AI platform OrgBrain, which provides AI-driven services for compliance, governance, and operations for enterprise decision-making, using Oracle Autonomous Database with AI Vector Search and integrated LLMs. The platform draws on relational, vector, spatial, JSON, and graph data to simplify tasks such as writing evidence-based grant proposals in minutes instead of weeks. Government agencies using Sphere cut the time to create a first draft of a notice of funding opportunity from a week or two to about five minutes.
EvenUp cuts document drafting from 15 hours to 15 minutes with Claude
EvenUp, a legal technology platform for personal injury firms that has resolved more than 200,000 cases and secured more than $10 billion in damages for injury victims, built its AI Drafts product on Claude, with Opus 4.8 handling deep reasoning and consistency-checking, and Sonnet or Haiku handling everyday extraction from case records that can run 1,000-plus pages. Document drafting that previously took 8 to 15 hours of skilled paralegal work now returns as finished drafts in about 30 minutes, a roughly 99% time reduction, while settlement offers across EvenUp's customer firms rose 300% and one firm cleared a 45-day demand-writing backlog after drafting time fell from about a month to roughly ten minutes per case.
Cyera scales agentic AI across 1,500 employees with Claude Enterprise
Cyera, an AI data security platform, rolled out Claude Cowork company-wide to all 1,500 employees in 17 days, connecting it to 40 tools including Slack, Salesforce, Asana, Google Drive and Notion, plus a governed Snowflake semantic layer of 40 documented tables built by its data engineering team. Weekly active usage of Claude reached 88% across the company. A scheduled task now triages Cyera's internal Ask Claude Slack channel, cutting daily triage from five-to-six hours to about 30 minutes, and the legal team launched a Cowork plugin with 20 playbooks that pre-reviews inbound vendor NDAs against Cyera's negotiating positions.
Spellbook runs 530,000 contract reviews a month with Claude
Spellbook, a contract drafting and review platform serving 5,000 customers across 80 countries including in-house legal teams at companies like LG, Dropbox and eBay, built Claude-powered agents that review and redline contracts inside Microsoft Word, apply each legal team's own review standards automatically, and orchestrate about 15 different Claude agent configurations matched to task complexity. Spellbook's agents now run about 530,000 contract reviews a month and field more than 700,000 lawyer chat messages a month, cutting the time to complete an agreement roughly 10x, from about 10 hours of lawyer work to about one hour.
Meta uses built-in AI to translate security information into business terms for access governance
Meta centralized access governance and controls across 200 applications using Oracle Fusion Cloud Risk Management and Compliance, using built-in AI to translate security information into business terms for process owners, alongside more than 145 security algorithms that analyze access and simulate segregation-of-duties risk.
Mining less waste and more value with AI-driven insights
Nexa Resources built a unified Databricks Data + AI Platform with Unity Catalog governance, deploying predictive models for zinc filtration and cadmium removal and AI agents integrating GPT-4 and Llama 3.1 for contract analysis and a digital library assistant, generating $370,000 in combined annual savings and cutting IT supplier contract analysis time by 800%.
Lojas Renner Powers Retail AI Agents
Lojas Renner, Brazil's largest fashion retailer with over 20,000 employees, used the Databricks Data + AI Platform to build an AI agent factory. Using Delta Lake, Unity Catalog and Agent Bricks, it deployed an Internal Support Agent that automates HR and operational questions, a Labor Relations Agent serving over 430 users, an Executive Insights Agent, and Voice of the Customer Analytics, reducing response times, boosting agent retention and automating handling of most internal support calls.
Empowering Employees to Work Strategically Using Amazon Bedrock with BDM
Big Data Mining (BDM), a Brazilian company, built LOUIS, a bespoke generative AI model on Amazon Bedrock combining computer vision and natural language processing to process complex, unstructured corporate documents (contracts, powers of attorney) across more than 100 models and 15 industries. A large Brazilian financial institution deployed LOUIS to replace a team of 150 professionals manually evaluating over 40,000 unstructured processes per month for opening legal-entity accounts and contracting credit, standardizing interpretation criteria and reducing operational effort by more than 40%, an estimated $4.2 million in cost savings over five years. In insurance, LOUIS reduced life insurance claim processing from up to six months to just a few minutes by capturing required data in about 60 seconds. BDM reports documents are processed 85% faster than manual interpretation with 98% accuracy, and saved roughly 50% on development costs by building on Amazon Bedrock rather than writing the application from scratch.
Protect Crypto Assets with Governed AI
Elliptic, a blockchain analytics and digital asset compliance company, built a copilot on Databricks Agent Bricks to reduce compliance analyst workload by describing wallet activity, highlighting exposure paths, and producing neutral, report-ready risk narratives for financial institutions, crypto businesses and government agencies. MLflow tracing captures prompts, intermediate steps and final narratives for every interaction, and automated evaluation pipelines score responses for correctness, relevance and safety using LLMs as judges. Domain-specific safety guidelines distinguish between describing financial-crime typologies and inadvertently mentioning harmful activity, while custom safety scorers distinguish between explaining money-laundering patterns and promoting harmful activities. Elliptic reports compliance teams resolving high-risk screenings up to 2x faster and 40% less time needed to complete a Suspicious Activity Report.

