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AI co-pilot for legal teams

A mid-sized logistics company with a growing in-house legal department responsible for managing NDAs, service agreements, and vendor contracts across multiple regions.

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Key achievements

60%

less time spent on routine contract reviews

90%

accuracy in risk detection

50%

time saved across legal operations

Challenge

The client, a mid-sized logistics company, was experiencing growing operational strain on its in-house legal department as business operations expanded across multiple regions.

During the annual workload review, internal metrics and regional feedback revealed the following key challenges:

  • 1

    Time drain from repetitive reviews

    The legal team was bogged down with reviewing nearly identical NDAs and service agreements – low-risk but high-frequency. One associate spent 4 hours reviewing just five NDAs. With around 50 such documents annually, that’s 200 hours (or 5 full weeks) lost on routine work.

  • 2

    Manual overload on repetitive tasks

    Legal staff spent hours summarizing contracts and answering vendor questionnaires using existing data. Recently, the team lost an entire day completing a 120-question form that could have been automated.

  • 3

    Regulatory compliance risks

    With operations in both the US and EU, tracking regulatory updates like GDPR and CCPA is challenging. A missed update led to outdated data retention language in vendor contracts, exposing the company to compliance risks.

  • 4

    Increased expenses

    All these inefficiencies (repetitive reviews, manual bottlenecks, and outdated compliance practices) resulted in real financial risk. During peak season, a one-sided termination clause in a logistics agreement was nearly missed – caught only days before signing.

Solution

Aristek’s team analyzed the following areas for potential automation within the legal department:

  • Tracking and analyzing regulatory developments
  • Board reporting
  • Amending policies and procedures
  • Cross-functional compliance coordination

Based on this analysis, Aristek proposed a custom AI-powered legal co-pilot to assist the legal team with:

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    Contract classification and risk flagging of unusual clauses and missing elements.

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    Summarization of long legal documents, highlighting obligations, dates, and key terms.

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    AI-powered translation support for cross-border contracts and multilingual legal reviews.

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    Template-based drafting and review of NDAs and service contracts.

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    Smart checklist generation for legal reviews, compliance steps, and approvals.

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    Auto-completion of vendor, infosec, and due diligence questionnaires.

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    Integration with CLM tools, policy libraries, and workflow automation via API.

Project scope

For this project, the Aristek team combined deep AI expertise with legal domain knowledge through a carefully structured approach:

  • Workflow mapping

    We partnered closely with the legal team, using process mining tools to analyze workflows, identify bottlenecks, and target the most time-consuming tasks for automation.

  • AI module design

    Our team fine-tuned GPT models on anonymized contracts, enhancing clause detection and risk spotting. Advanced NLP pipelines segmented contracts and classified key terms for accuracy.

  • Semantic search retrieval

    We deployed a vector search database enabling semantic retrieval of clauses and past contracts. This boosted consistency in summarization and drafting across the legal team.

  • UI integration

    We set up a React frontend and Node.js backend with REST APIs, embedding seamlessly into existing legal and contract management systems. We deployed the solution securely on Azure, including OCR support for scanned documents.

  • QA & user training

    The team conducted iterative human-in-the-loop testing and active learning to improve AI accuracy. They delivered hands-on training and scenario-based sessions to ensure smooth adoption by the legal staff.

  • Ongoing support

    We set up real-time AI monitoring and user feedback, enabling continuous tuning and quick fixes. A small legal team first tested the co-pilot, then expanded its use to full documents for a smooth, effective rollout.

How it works

Users upload contracts or link documents directly within their existing legal management system – and that’s where the legal time-saving magic starts.

1

The AI then scans and analyzes any files using advanced NLP to understand legal language, context, and structure.

2

The co-pilot builds customized checklists based on company policies or regulations like GDPR, running these across batches of contracts to highlight missing clauses and suggest compliant language.

3

For each contract, the AI compares clauses against standard templates, flagging unusual or risky terms and presenting side-by-side views to simplify review and negotiation.

4

It also helps create smarter templates by detecting variables like party names and amounts, allowing conditional clauses to be automatically included or excluded depending on contract details.

5

When users have questions, such as “What is the renewal period?”, they simply ask the co-pilot, which quickly finds and highlights the relevant contract sections, saving time spent searching manually.

6

For cross-border contracts, the AI generates draft translations to assist legal teams, with experts reviewing final versions to ensure accuracy and compliance.

7

All these capabilities are seamlessly integrated into familiar tools like Microsoft Word and SharePoint, keeping users in control with full transparency.

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Tools & Technologies

GPT-4
OpenAI
Pinecone
Azure Cognitive Search
Node.js
React
Azure
Azure Cognitive Services
RESTful APIs
Jira

Project results

The Aristek team leveraged AI to revolutionize legal operations by automating routine contract reviews and accelerating risk detection.

By automating time-consuming tasks like due diligence questionnaires, vendor responses, and contract drafting, AI ensures consistent, policy-aligned answers in seconds instead of hours of tedious work. Moreover, the co-pilot continuously learns from user feedback and contract data, improving its accuracy with every interaction.

  • Faster contract turnaround

    A 50% reduction in contract approval cycle time helped internal teams act more quickly and improved collaboration with vendors and partners.

  • Smarter risk detection

    90% accuracy in flagging risky or unusual clauses ensured stronger regulatory alignment and reduced the chance of overlooked legal issues.

  • Shift to strategic legal work

    The legal team now spends up to 85% less time on manual contract reviews, redirecting focus to strategic initiatives and decision-making.

  • Streamlined international contract handling

    AI-powered translation support enabled quicker review of cross-border agreements, reducing legal exposure and easing multilingual collaboration.

  • Time saved across legal operations

    Automated completion of vendor questionnaires, clause comparisons, and legal summaries cuts down hours of repetitive work across the board.

Want the same game-changing results for your legal team?

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