Legal drafting automation

BRYTER launched a global legal research package, integrated within its AI-powered assistant BEAMON, to streamline legal research and document drafting for professionals operating in over 20 jurisdictions. Legal professionals can now access content from more than 80 legal databases directly while drafting in Microsoft Word and within BEAMON workflows. This integration eliminates the need to switch contexts between research and document creation, significantly improving productivity. The platform uniquely integrates Dr. Otto Schmidt Verlag’s authoritative German legal content for enhanced depth in key areas like tax, corporate, and labor law. Legal teams in multinational corporations and global law firms benefit from seamless legal research, tailored drafting tools, and document review on one platform. Major organizations, including Rakuten, McDonald’s, Ashurst, Deloitte, PwC, and KPMG, report increased productivity and document accuracy. BRYTER’s AI suite for legal professionals demonstrates a move toward fully automated, AI-augmented legal operations across borders. The solution offers specialized capabilities for German-speaking teams and global firms managing complex, multi-jurisdictional matters. Workflow integration empowers legal engineers to automate entire legal processes with no-code tools, merging rule-based and AI workflow automation. BEAMON also enables deep linking of research, contract drafting, and regulatory compliance, making it easier to generate memos and advice with embedded legal sources.

JPMorgan Chase has deployed the 'LLM Suite'—an AI assistant system powered by OpenAI’s ChatGPT models and embedded in internal Microsoft-based applications. Rolled out to approximately 140,000 employees, this agentic solution assists staff by autonomously drafting emails, summarizing reports and documents, building spreadsheets, and brainstorming ideas. The system is seamlessly integrated into internal tools, aiming to augment workflows and reduce operational costs. Management projects the adoption will allow the bank to process greater work volume with the same resources or reduce costs, targeting $1.5–2 billion in efficiency gains over several years. This move reflects a significant shift towards intelligent automation in financial services and has set a new benchmark for productivity improvements in banking operations. The case demonstrates practical, real-world application and measurable impact at scale, aligning with global trends in AI adoption for operational augmentation.

JPMorgan ChaseFinance

Eplan, a German company in electrical engineering software, aimed to automate and simplify the design of control cabinets and mounting plates for manufacturing clients.Traditional processes relied heavily on manual design, repetitive data searches, and risked inefficiency.Eplan leveraged its massive Data Portal, containing over 2 million electrical engineering components curated to an industry data standard, as a foundation to train AI-driven solutions.Using Microsoft Azure OpenAI Service, Eplan developed the Eplan Copilot—an AI assistant embedded in their CAD environment.Eplan Copilot interprets engineers' requirements, generates custom 3D mounting plate layouts, and produces circuit diagrams tailored to unique orders by searching and reusing existing data whenever possible.This eliminates the need for engineers to repetitively search component databases and re-create established design patterns, thus reducing errors and project timelines.The AI solution enhances engineering workflow, increases efficiency, reuses validated data, and accelerates time-to-market for electrical control cabinet manufacturing.

EplanManufacturing

Deloitte Legal Belgium transformed its legal drafting operations using ClauseBase, an AI-driven platform that integrates deeply with Microsoft Word and Outlook. With ClauseBase, Deloitte Legal automated contract template creation, extracted clauses from prior drafting history, managed curated clause libraries, and accelerated contract review using AI capabilities integrated directly into their familiar Microsoft Office environment. The solution supported smarter initial drafting, AI-powered review, and knowledge management, enabling faster contract turnaround and significant efficiency gains. This transformation, guided by Jan Roggen (who later joined ClauseBase), highlights qualitative improvement in negotiation processes, as well as broader adoption within Deloitte Legal. ClauseBase now cites Deloitte Legal Belgium as a flagship success story, expanding its offering to North America on the back of proven operational impacts.

Deloitte LegalLegal

Community Policing Dispatch describes how law enforcement uses AI-generated police reports based on body-camera audio. Named customer organizations include Oklahoma City Police Department and Boulder Police Department.Truleo’s Field Notes is powered by Amazon Bedrock with Bedrock guardrails, generating report drafts from transcribed audio.Officers upload or select an incident category and template, generate an AI draft, review and edit missing details, and sign off before submission.

Oklahoma City Police DepartmentPublic Sector

Clayton Utz, one of Australia's largest law firms, has implemented a comprehensive suite of legal automation tools using Microsoft Azure OpenAI Service, RelativityOne, and Lexis+AI. The firm automates tasks including research, document drafting, contract review, regulatory reporting, and litigation strategy support. Specialized tools such as an ESG content extraction tool, developed in partnership with Microsoft Azure OpenAI Service, and the AcCUrate compliance auditing solution have streamlined case law review and employment law compliance auditing respectively. Through the integration of generative AI, the firm has achieved significant efficiency gains in producing first drafts, conducting research, and automating document collation for government projects. Proprietary safeguards have been implemented to ensure client data confidentiality and document accuracy. These innovations allow Clayton Utz's lawyers to spend less time on manual tasks and deliver improved outcomes to clients, while continuing to evaluate and advance AI capabilities across legal domains.

Clayton UtzLegal