Data Analytics

Developing AI models to accelerate Research and Analysis

Discover how organisations can streamline their research processes and improve accuracy through innovative tech solutions. Using Azure OpenAI Service, we can help your organisation to transform the management of documents and the preparation of reports.

Integrating AI models into your workflow can significantly enhance the research capabilities of document-heavy organisations, such as public sector legal and regulatory research bodies. This leads to more efficient operations, accurate opinions, and ultimately, better-informed decisions. The benefits, measured in time saved and increased productivity, underscore the transformative potential of AI.


Many organisations struggle with the challenge of managing and extracting valuable insights from large volumes of documents. For example, public sector organisations responsible for managing laws and regulations often face the daunting task of navigating through extensive legal texts to find specific information. The volume and complexity of these documents make manual searches time-consuming and prone to errors, affecting the efficiency and accuracy of legal research and opinion preparation.

The Solution: Azure OpenAI Service

We draw on Azure OpenAI Service, leveraging advanced language models to automate and enhance your processes. Here’s how it works:

  1. Automated Text Analysis and Search: Using OpenAI’s language models, we can implement an advanced search system that understands natural language queries. This allows staff to input questions or topics and receive relevant sections from a vast corpus of legal documents within seconds. For instance, querying “environmental impact assessment regulations 2024” would instantly surface all pertinent documents and excerpts.
  2. Summarisation and Interpretation: To ensure that staff can quickly understand the essentials of complex documents without having to read every detail, Azure OpenAI’s models can summarise lengthy legal texts. The AI model extracts key points and presents them in an easily digestible format.
  3. Contextual Insights: Beyond simple keyword matching, the AI provides contextual insights by understanding the nuances of legal language. It can identify related cases, precedents, and statutory interpretations that might not be immediately apparent through traditional search methods.
  4. Drafting Assistance: When preparing legal opinions or regulatory summaries, the AI can assist in drafting coherent and comprehensive documents. It suggests relevant language and ensures consistency with existing legal frameworks, enhancing the quality and precision of the final output.

Implementation Steps

At Objective, our experienced Data Scientists and Software Developers can assist you with all or part of the required implementation steps.

  1. Data Ingestion: Digitise and ingest all relevant legal documents into the Azure ecosystem, ensuring they are indexed and accessible.
  2. Model Training and Customisation: Fine-tune OpenAI models on the department’s specific legal texts to improve accuracy and relevance.
  3. Integration with Existing Systems: Seamlessly integrate the AI-powered search and analysis tools with the department’s existing document management systems.
  4. User Training: Train staff on how to effectively use the new tools, emphasising natural language queries and the interpretation of AI-generated insights.

Measuring the Benefits

The impact of implementing AI models can be measured through several key performance indicators:

  • Staff Time Saved: Automating search and summarisation tasks allows staff to focus on higher-value activities. Time-tracking tools can quantify the reduction in hours spent on manual research.
  • Increased Accuracy: Monitor the accuracy of retrieved information and the completeness of legal opinions to ensure no critical details are missed. Regular audits can compare pre- and post-implementation performance.
  • Enhanced Productivity: Track the number of legal opinions and reports generated within a given timeframe, noting any increases in output.
  • User Satisfaction: Conduct regular surveys to gather feedback from staff on the usability and effectiveness of the new tools, adjusting as necessary to improve the experience.

AI offers transformative potential across the public sector and beyond, making operations more efficient and informed. Curious about how this could benefit your organisation? Chat with us—we’re eager to discuss how AI can enhance your operations.

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