A National Law Firm Transforms Contract Review with AI-Powered Document Intelligence
An AI-powered contract review solution that brings document comparison and analysis into a structured workflow, helping legal teams identify meaningful changes and extract relevant information.
At a Glance
An AI-powered document review solution that brings comparison and analysis into a structured workflow, helping legal teams identify meaningful changes and extract relevant information.
Industry
Legal
Function
Contract Review
Solution
AI-Powered Document Review
Engagement
End-to-End AI Development
The Client
Our client is a national law firm with 475 attorneys and government relations professionals across 17 offices, serving regional, national, and international clients. The firm represents some of the country’s leading and innovative organizations, including more than 40% of Fortune 500 companies.
The Challenges
The Complexity Behind Contract Review
As contracts become more complex and business-critical, legal teams face growing review demands. They need to compare documents, identify meaning changes, and extract relevant information without compromising accuracy or consistency
Manual Document Comparison
Legal teams spend significant time manually reviewing lengthy contracts, comparing versions, and reviewing redlines. Repetitive comparison tasks can slow decision-making and take valuable time away from higher-value legal work.
Difficulty Identifying Meaningful Changes
Standard redlines can contain formatting, punctuation, and grammatical changes alongside substantive edits. Identifying which changes actually affect meaning can require extensive manual review and careful attention to detail.
Difficulty Extracting Verifiable Information
Finding specific provisions, obligations, and answers within lengthy documents can be tedious. Legal professionals also need to verify extracted information against source content, making traceable, source-backed answers important during review.
Varying Document Types and Review Contexts
Review requirements differ across contracts and other text-based documents. Teams need flexible ways to work with different document formats and apply the appropriate analytical context without repeatedly adapting their review process.
Your legal team should spend less time searching through contracts.
Let AI handle the repetitive work while your experts focus on what matters.
The Solution
Transforming Contract Review With AI
Maruti Techlabs designed the solution around real-world legal review needs, combining AI-powered comparison, document analysis, and contextual reasoning within a structured review experience.
The solution compares two clean document versions or directly analyzes a redlined document. It supports .doc, .docx, .pdf, and .txt files, including mixed-format comparisons, and can also process scanned PDFs using OCR.
The solution compares two clean document versions or directly analyzes a redlined document. It supports .doc, .docx, .pdf, and .txt files, including mixed-format comparisons, and can also process scanned PDFs using OCR.
The Journey
From Challenge To AI-Powered Solution
Business Outcomes
Faster and More Efficient Contract Review
70% Reduction in Turnaround Time
AI-powered comparison and analysis reduced contract review turnaround time, helping legal professionals complete reviews faster.
60% Average Cost Savings
Reduced manual review effort delivered average cost savings across contract comparison and analysis workflows.
Improved Risk Identification
Surfacing meaningful changes and relevant provisions helps legal professionals identify areas requiring closer attention during review.
Greater Contract Visibility
Structured comparisons, cited answers, and multiple review views make relevant contract information easier to find, verify, understand, and evaluate.
Conclusion
By combining AI-powered document comparison, substantive change summarization, and source-backed analysis, the solution created a more structured approach to reviewing complex documents. It helped legal professionals identify meaningful changes and find relevant information more efficiently, while providing greater visibility into the content they were reviewing.
The Most Advanced Tech Stack
Move from manual document review to a smarter, AI-powered workflow.
Reduce turnaround time and help your legal team work more efficiently.
Download Your Free Case Study Today.
FAQs
Yes. AI can automate repetitive parts of contract review, including comparing contract versions, identifying substantive changes, extracting relevant provisions, and answering predefined questions. This reduces manual effort and lets legal professionals focus on higher-value review and decision-making.
AI contract comparison analyzes the original and revised versions to identify changes across clauses and provisions. It can present changes with the original and updated text, explain what changed, and include the relevant page reference, helping legal professionals quickly focus on substantive modifications.
Legal professionals can verify AI-generated analysis through source citations linked to the relevant contract text and page. This allows them to trace each answer back to the underlying document, review the supporting context, and validate the information before using it in their legal workflow.
Yes. AI can analyze contracts against predefined or custom question sets to identify specific provisions, obligations, and other relevant information. Legal teams can create, edit, and reuse question sets for different contract-review requirements.
A practical implementation starts by identifying repetitive review workflows, defining the information legal teams need to extract, and designing AI capabilities around those workflows. The solution can then be validated against real contract content and refined before deployment to ensure the results are relevant, consistent, and useful in practice.
Yes. The solution can analyze a redlined document directly or compare two clean versions, including documents in different formats such as Word and PDF. It supports .doc, .docx, .pdf, and .txt files, while OCR enables comparison and analysis of scanned PDFs.