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.
Use case type
Legal research assistant
This category helps legal professionals search, summarize, and compare statutes, cases, contracts, and other legal materials. It reduces research time and supports faster preparation of legal analysis.
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Adoption over time
Documented cases per month
By case publish month · completed months only
3 cases documented across 33 months (Oct 23 – Jun 26), peaking at 1 in October 2023.
Each column counts every documented case of this type by its publish month, across the full corpus. The in-progress current month is excluded from columns and surfaced separately, and cases published before the charted window are summarized as earlier cases instead of plotted.
Company examples
Use cases of this type
3 shown from 3 use cases
Garrigues modernizes legal operations with enterprise AI and Copilot integration
Garrigues, one of Spain's leading law firms, established a strategic partnership with Microsoft to deploy generative AI—specifically Copilot for Microsoft 365—within their legal practice. The primary focus is on automating and enhancing contract management, legal research, and client services by integrating Copilot and the firm's proprietary GA_AI platform, all powered and secured by Microsoft Azure. The deployment ensures compliance with the EU Data Boundary, maintaining robust data security and privacy. Additional projects involve embedding specialized AI modules for digital contracts and digital trust, further supporting Garrigues' drive for greater productivity, innovative client services, and market leadership in tech-enabled legal services. The collaboration supports change management, upskilling, and continuous service innovation, helping Garrigues maintain its competitive edge.
Baker McKenzie explores Copilot for enhancing legal workflows
Baker McKenzie, a global law firm, has actively tested Microsoft's Copilot AI for improving legal processes such as document generation, summarization, and contract management. With a history of exploring AI tools since 2017, the firm employs a specialized team, including lawyers and data engineers, to validate and adapt AI-powered solutions for legal use cases. Copilot's integration promises better accuracy in workflows and error reduction, while reducing turnaround times for critical legal tasks. Although the technology is in its early stage, Baker McKenzie's exploration showcases its potential to transform legal practices despite cost challenges.
Common questions
Legal research assistant at a glance
- How many legal research assistant use cases are documented?
- The AI Use Case Hub documents 3 real legal research assistant deployments across 1 industries, with 3 detailed company examples you can browse.
- Which industries adopt legal research assistant the most?
- Legal research assistant is most common in Legal (100%).
- Which countries lead in legal research assistant?
- United Kingdom leads documented legal research assistant deployments, followed by Spain and Austria.
- What technologies are used for legal research assistant?
- Teams most often build legal research assistant with Copilot, Microsoft 365 and Azure AI.
- What AI capabilities power legal research assistant?
- Across the documented deployments, the most common capability patterns are Copilot (67%), RAG (33%) and Fine-tuning (33%).
- What results do companies report from legal research assistant?
- Across the 3 deployments reporting outcomes, companies most often cite new product / capability (100%), customer experience & trust (67%) and cost efficiency (33%).