Advanced Search Solution
Advanced Search Solution
Advanced Search that Accelerates Document Analysis and Reduces Legal Costs
Advanced Search that Accelerates Document Analysis and Reduces Legal Costs



Intro
Intro
As a product designer, I designed an Advanced Search solution for Melior AI Contract Intelligence. The main goal was to streamline workflows, automate processes, and help businesses extract insights faster while reducing legal costs.
As a product designer, I designed an Advanced Search solution for Melior AI Contract Intelligence. The main goal was to streamline workflows, automate processes, and help businesses extract insights faster while reducing legal costs.
Intro
As a product designer, I designed an Advanced Search solution for Melior AI Contract Intelligence. The main goal was to streamline workflows, automate processes, and help businesses extract insights faster while reducing legal costs.
Problem
Problem
Melior AI's platform was designed to process vast amounts of third-party documents, but clients faced significant challenges when analyzing these documents efficiently. Legal teams often had to manually sift through large volumes of contracts to extract critical data, a time-consuming and expensive process.
Melior AI wanted to improve this by creating an Advanced search functionality that would enable users to:
Quickly filter and categorize large document sets.
Extract relevant insights from contracts with minimal effort.
Improve the speed and cost-efficiency of the legal process.
Melior AI's platform was designed to process vast amounts of third-party documents, but clients faced significant challenges when analyzing these documents efficiently. Legal teams often had to manually sift through large volumes of contracts to extract critical data, a time-consuming and expensive process.
Melior AI wanted to improve this by creating an Advanced search functionality that would enable users to:
Quickly filter and categorize large document sets.
Extract relevant insights from contracts with minimal effort.
Improve the speed and cost-efficiency of the legal process.
Problem
Melior AI's platform was designed to process vast amounts of third-party documents, but clients faced significant challenges when analyzing these documents efficiently. Legal teams often had to manually sift through large volumes of contracts to extract critical data, a time-consuming and expensive process.
Melior AI wanted to improve this by creating an Advanced search functionality that would enable users to:
Quickly filter and categorize large document sets.
Extract relevant insights from contracts with minimal effort.
Improve the speed and cost-efficiency of the legal process.
Process
Process
To address the challenge, we followed a structured user-centered design process, ensuring that the solution met the needs of legal professionals and business users.
Stakeholder & User Research → Conducted interviews with Melior AI stakeholders and legal teams to identify key pain points and define core requirements for advanced search.
Persona Development → Created detailed user personas to tailor the solution for legal teams, corporate managers, and business analysts.
Information Architecture & Workflow Mapping → Designed a clear structure for document organization and user flows to integrate advanced search seamlessly into the platform.
Wireframing & Prototyping → Developed low-fidelity wireframes and interactive prototypes, focusing on document filtering, keyword search, and contextual relevance.
Usability Testing & Iteration → Gathered feedback from stakeholders refining the design for improved usability and responsive performance.
Collaboration & Handoff → Worked closely with engineering teams to ensure a smooth handoff, providing detailed design documentation.
To address the challenge, we followed a structured user-centered design process, ensuring that the solution met the needs of legal professionals and business users.
Stakeholder & User Research → Conducted interviews with Melior AI stakeholders and legal teams to identify key pain points and define core requirements for advanced search.
Persona Development → Created detailed user personas to tailor the solution for legal teams, corporate managers, and business analysts.
Information Architecture & Workflow Mapping → Designed a clear structure for document organization and user flows to integrate advanced search seamlessly into the platform.
Wireframing & Prototyping → Developed low-fidelity wireframes and interactive prototypes, focusing on document filtering, keyword search, and contextual relevance.
Usability Testing & Iteration → Gathered feedback from stakeholders refining the design for improved usability and responsive performance.
Collaboration & Handoff → Worked closely with engineering teams to ensure a smooth handoff, providing detailed design documentation.
Process
To address the challenge, we followed a structured user-centered design process, ensuring that the solution met the needs of legal professionals and business users.
Stakeholder & User Research → Conducted interviews with Melior AI stakeholders and legal teams to identify key pain points and define core requirements for advanced search.
Persona Development → Created detailed user personas to tailor the solution for legal teams, corporate managers, and business analysts.
Information Architecture & Workflow Mapping → Designed a clear structure for document organization and user flows to integrate advanced search seamlessly into the platform.
Wireframing & Prototyping → Developed low-fidelity wireframes and interactive prototypes, focusing on document filtering, keyword search, and contextual relevance.
Usability Testing & Iteration → Gathered feedback from stakeholders refining the design for improved usability and responsive performance.
Collaboration & Handoff → Worked closely with engineering teams to ensure a smooth handoff, providing detailed design documentation.

Solution
Solution
The final advanced search solution we created for Melior AI transformed the way users interacted with their document database. The key features of the solution included:
Intelligent Filtering: Users can filter documents by various parameters, such as contract type, date, parties involved, and specific clauses. This reduced the time spent manually sorting through documents and allowed for a more targeted search.
Contextual Keyword Search: Advanced search enabled the identification of relevant keywords within contracts and highlighted key clauses. The context around keywords was presented to help users quickly understand the relevance of a search result.
Smart Categorization: The documents were automatically categorized based on predefined criteria, allowing users to quickly narrow down their search results to the most relevant documents.
The final advanced search solution we created for Melior AI transformed the way users interacted with their document database. The key features of the solution included:
Intelligent Filtering: Users can filter documents by various parameters, such as contract type, date, parties involved, and specific clauses. This reduced the time spent manually sorting through documents and allowed for a more targeted search.
Contextual Keyword Search: Advanced search enabled the identification of relevant keywords within contracts and highlighted key clauses. The context around keywords was presented to help users quickly understand the relevance of a search result.
Smart Categorization: The documents were automatically categorized based on predefined criteria, allowing users to quickly narrow down their search results to the most relevant documents.
Solution
The final advanced search solution we created for Melior AI transformed the way users interacted with their document database. The key features of the solution included:
Intelligent Filtering: Users can filter documents by various parameters, such as contract type, date, parties involved, and specific clauses. This reduced the time spent manually sorting through documents and allowed for a more targeted search.
Contextual Keyword Search: Advanced search enabled the identification of relevant keywords within contracts and highlighted key clauses. The context around keywords was presented to help users quickly understand the relevance of a search result.
Smart Categorization: The documents were automatically categorized based on predefined criteria, allowing users to quickly narrow down their search results to the most relevant documents.






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