AI Development

End to End Legal Workflow Automation with AI

Comprehensive AI legal suite automating document drafting, workflow management, and time tracking for law firm operational efficiency.

Client

Legal Tech Innovations

Industry

Legal Technology

Duration

4 Months

End to End Legal Workflow Automation with AI

Inside this case study

Introduction

We developed a comprehensive AI powered Legal Tech Innovation Suite that transforms how law firms handle their daily operations spanning from automated legal drafting to workflow and time management. By integrating fine tuned LLMs with retrieval augmented generation workflows, we enabled legal professionals to work smarter, faster, and with greater accuracy.

introduction visual

Challenge

Legal practitioners face two major productivity bottlenecks. First, drafting legal documents such as contracts, briefs, and filings requires precision, domain knowledge, and countless hours of manual review. Second, administrative workflows such as creating time slips, extracting case details, and logging tasks are often repetitive and error prone. The lack of integration between these domains meant lawyers spent disproportionate time on non billable work, leading to reduced efficiency and profitability.

Solution

We built a dual stream AI solution that addresses both core pain points.

Intelligent Document Drafting

We leveraged GPT 4o mini, fine tuned on legal corpora, to generate contracts, briefs, and legal templates with 95 percent accuracy and 92 percent quality rating. Dataset engineering curated supervised Q and A pairs and automated training pipelines using Transformers and Azure or AWS GPU environments. This ensured drafts adhered to specialized language and reduced partner level review time by over 50 percent.

Workflow Automation with RAG and Automation

We enabled time slip automation by allowing AI agents to extract durations from case documents and map them to specific matters with task codes. Context aware summarization was deployed using a RAG powered chatbot for quick legal data retrieval and document summarization. The automation backbone was built with a Python backend and a React NextJS frontend, fully integrated with Azure DevOps CI/CD.

approach-workflow-automation-with-rag-and-automation visual

Technical Approach

Generative AI:GPT-4o mini fine tuned on legal corpora for document generation
Dataset Engineering:Supervised QA pairs and automated training pipelines using Transformers
RAG Pipeline:Retrieval augmented generation for context aware legal document summarization
Automation:AI agents for duration extraction and matter mapping with task codes
Stack:Python backend, React/NextJS frontend, Azure DevOps CI/CD, GPU training environments

What we've accomplished

Successfully created an integrated legal practice management suite that revolutionizes how law firms operate. The solution combines intelligent document drafting with automated workflow management, enabling lawyers to shift focus from paperwork to high value legal strategy. This comprehensive approach directly impacts client satisfaction and billable utilization while setting a new standard for legal technology innovation.

Results & Impact

70%
Time Saved
95%
Draft Accuracy
85%
Work Efficiency
High-value strategy
Productivity Shift
Improved
Client Satisfaction
Optimized
Billable Utilization
results visual

Project Narrative

Instead of treating drafting and workflow management as isolated innovations, we merged them into a single ecosystem. The fine tuned drafting models ensured legal documents were created faster and with higher quality, while the RAG powered workflow automation handled case management, timekeeping, and data retrieval seamlessly. This complete digitization demonstrates how AI can redefine the legal industry not just by optimizing individual tasks, but by creating an integrated practice management suite that sets a blueprint for the future of legal services.

Technologies We Used

GPT-4o logo

GPT-4o

Python logo

Python

React logo

React

Next.js logo

Next.js

Azure logo

Azure

Transformers logo

Transformers

PostgreSQL logo

PostgreSQL

Docker logo

Docker

FastAPI logo

FastAPI

Contact us

Whether you are a large enterprise looking to augment your teams with expert resources or an SME looking to scale your business or a startup looking to build something.

We are your digital growth partner.

Muhammad Bilal Shahid

Co-Founder and CEO

bilalshahid@axonbuild.com

Hisan Naeem

Co-Founder and CTO

hisannaeem@axonbuild.com

Get in Touch