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Published 22 May 2025· via Microsoft· Customer story

Law Firms Save Up to 25 Hours Per Case with Automated Legal Workflow Platform

Assembly Software · Legal · United States

Headline result

↓ 40 h

time

As reported by the source; not independently verified.

Summary

Assembly Software developed NeosAI, an AI-powered legal workflow automation platform used by law firms. NeosAI leverages Microsoft Azure AI tools, with core features including document drafting automation, contextual search via retrieval-augmented generation, data extraction using Azure AI Document Intelligence, and OCR through Azure AI Vision. Planned enhancements include audio transcription with Azure AI Speech. The platform maximizes security and privacy, utilizing Microsoft Defender and strict compliance with zero data retention policies. Law firms report significant productivity gains, such as reducing document creation from 40 hours to minutes and saving up to 25 hours per case. Deployed in under six months, NeosAI optimizes legal team performance, reduces errors, and supports compliance in US law firms, with prospects for global expansion.

The problem

  1. 01Law firms spend significant time manually searching documents for relevant information.
  2. 02Manual document drafting and data entry are error-prone and extremely time-consuming, taking up to 40 hours per legal document.
  3. 03Need for strict data privacy and compliance with regulations for legal documents.
  4. 04High operational costs due to labor-intensive processes and billing rates of $500-$1,000 per hour.
  5. 05Difficulty in tracking expenses and optimizing firm performance due to inefficiencies.

What they built

  1. 01Developed NeosAI platform using Microsoft Azure AI services for legal workflow automation.
  2. 02Implemented retrieval-augmented generation with Azure AI Search for contextual document search.
  3. 03Automated data extraction using Azure AI Document Intelligence and OCR through Azure AI Vision.
  4. 04Adopted Microsoft Defender for enhanced security and privacy compliance with zero data retention policies.
  5. 05Plans for integration of Azure AI Speech for audio transcription of legal documents.

Reported results

  1. 01Reduced manual data entry and document drafting time from 40 hours to mere minutes per document.
  2. 02Saved up to 25 hours per legal case for law firms using NeosAI.
  3. 03Efficiency gain equivalent to 2 full-time employees for a 20-user legal team (about 10%).
  4. 04Reduced accuracy issues and improved expense tracking.
  • Launched AI legal workflow automation platform
  • Reduced document creation to minutes
  • Lowered case handling labor burden
  • Improved legal data privacy compliance

Source

Microsoft

Customer story · 22 May 2025

Read the original(opens in a new tab)

How this deployment compares

Computed from the library · data 10 Nov 2026

This is the only Assembly Software deployment in the library. It is one of 31 legal document automation deployments, 20 of them in Legal.

Assembly Software in the library

The only Assembly Software deployment in the library

Still referencedThe source is still online, but no newer Assembly Software record has appeared yet.

Same pattern, whole library

One of 31 legal document automation deployments

  • Legal accounts for 20 of them (65%), more than any other industry.
  • 13 records of this pattern came before it; 9 have been published since.
  • Only 4 of the 31 put a number on the result (13%).
  • Distinctive claim: Cost efficiency outcomes are reported by only 7 peers (23%).
Provider mix
  • Microsoft87%
  • AWS16%
  • GCP3%
Most-used technology
  • Azure OpenAI 7
  • Microsoft 365 5
  • Azure AI 5
  • Copilot Studio 4
  • SharePoint 4
  • Copilot 3

Outlined: used in this record.

Shares describe this library, not the whole market.

Legal document automation analysis

Results against peers

What peers report

  • Time & speed290 figures, all industries · middle half 30%–76%50%median reduction
  • Cost savings168 figures, all industries · middle half 25%–70%40%median reduction
  • Risk, reliability & safety13 figures, all industries · middle half 60%–90%70%median reduction

Peer figures are as reported by their sources; percentage claims only.

How we checked this record

Evidence tier: verified

A primary source with a named customer and a supported deployment status.

Named organization
Assembly Software
Who published the source
The organization itself
Deployment status
Production (confidence 95%)
Quantified result
The source reports at least one figure
Source link
Online at last check

Last re-checked 13 Jun 2026.

This record is evidence for

Insight · industryLegal dossierOne of 82 Legal deployments. See which patterns dominate there and what they report.Insight · patternLegal document automation31 deployments share this pattern. See where it is used and how it is built.Trend · momentumBuilding pattern4 new deployments in the last six months, against 1 in the six before.

Same pattern, other organizations

All legal document automation deployments
  1. 13 Jun 2026
    Pharma

    Cactus Life Sciences deploys Microsoft 365 Copilot with 30+ custom automation agents to accelerate scientific writing and data extraction

    Cactus Life Sciences · Legal document automation · Microsoft

    Cactus Life Sciences needed to reduce the manual burden of document-heavy scientific workflows and improve efficiency across scientific writing and project management teams while meeting strict pharmaceutical data security requirements. The company deployed Microsoft 365 Copilot in a phased rollout and built more than 30 custom automation agents using Microsoft's agent builder framework. The agents retrieve and structure information from scientific literature, support abbreviation checks, formatting consistency, and alignment with regulatory and publication standards, with human review controls preserved. A Copilot Champions program and centralized knowledge repository supported governance and peer-led adoption.

    Multi-agentProduction

  2. 27 May 2026
    Other

    Vitalliance implements generative AI knowledge search for HR/legal manuals on AWS

    Vitalliance · Legal document automation · AWS

    Vitalliance is a French home care and personal services network supporting 11,000 customers across 140 agencies. The company migrated its information system to AWS and is developing a generative AI assistant to help employees search 400-page manuals for HR and legal questions. The assistant is intended to answer questions with source traceability so users can see whether an answer comes from a collective agreement or a company agreement.

  3. 27 May 2026
    Professional Services

    Thomson Reuters expands generative AI access with Amazon Bedrock

    Thomson Reuters · Legal document automation · AWS

    Thomson Reuters built Open Arena, a web-based enterprise AI and machine learning playground, to democratize safe and secure access to generative AI models for technical and nontechnical employees. The company expanded the platform by incorporating Amazon Bedrock so teams can experiment with, compare, and select different foundation models for products and internal use cases. Thomson Reuters also used the platform to build Checkpoint Edge with CoCounsel, a tax research generative AI application that provides responsive answers with in-line citations to tax resources.

  4. 27 May 2026
    Legal

    Robin AI Transforms Complex Legal Work Using Amazon Bedrock

    Robin AI · Legal document automation · AWS

    Robin AI helps legal professionals save time and speed contract work using generative AI and AWS. The solution uses Amazon Bedrock with large language models such as Anthropic’s Claude 3 to provide generative AI capabilities while keeping data secure within Robin AI’s own cloud environment. Robin AI says lawyers and paralegals can process hundreds of pages of contracts in just a few seconds.