Our Work - Engineering Impactful Solutions for Legal Challenges.

Apex Innovations, a rapidly growing tech firm, struggled with a manual, time-consuming contract review process involving multiple stakeholders and complex approval chains. This bottleneck delayed sales cycles and strained legal resources.

Contour conducted an in-depth analysis of Apex's existing workflow, identifying key friction points and opportunities for automation. We mapped the end-to-end process, pinpointing stages ripe for AI intervention, such as clause identification, risk scoring, and routing for specific approvals.

Leveraging natural language processing (NLP) and custom-built automation logic, we developed a solution that automatically ingested contracts, identified standard vs. non-standard clauses, flagged potential risks based on predefined rules, and routed contracts intelligently to the appropriate reviewers. An intuitive dashboard provided real-time visibility into the status of all contracts.

The implemented solution reduced average contract review time by over 60%, significantly accelerating deal closures. Apex's legal team was freed from hours of repetitive review, allowing them to focus on high-stakes negotiation and strategic legal advice. The system also improved consistency and reduced the risk of human error.

As a busy litigation practice, Veridian Legal Group faced mounting pressure from increasing volumes of electronic discovery requests. Their manual process for intake, categorization, assignment, and tracking was inefficient, prone to errors, and consumed significant paralegal and attorney time.

Contour collaborated with Veridian's litigation support team to map their existing discovery workflow. We identified bottlenecks in request intake, the inconsistency in categorization, and the manual effort required for assignment and status tracking.

We designed and built a custom workflow automation tool. The system automatically ingested discovery requests from various sources (email, portals), used NLP to perform initial categorization based on keywords and case matter, and applied rule-based logic to assign requests to the appropriate paralegal or attorney team.

The solution provided a centralized dashboard for tracking request status, deadlines, and assignments. Automated reminders and escalation paths were implemented to prevent missed deadlines. The system significantly reduced manual data entry and administrative overhead, allowing legal professionals to focus on substantive review and response.

Post-implementation, Veridian saw a 45% reduction in the time spent on processing initial discovery requests and a marked improvement in deadline adherence. Paralegals reported significantly less time spent on administrative tasks, enabling them to provide higher-level support to attorneys.

Sterling Chambers prided itself on high-touch client service, but their intake process relied on disparate emails, manual data entry into multiple systems, and ad-hoc communication for matter setup. This led to delays, potential errors, and a disjointed experience for new clients.

Contour conducted workshops with Sterling's partners, associates, and administrative staff to map the entire client journey from initial contact to matter creation. We identified significant manual effort in data collection, duplicate entry points, and lack of visibility into the intake pipeline.

We engineered a unified intake and matter management solution. This included a secure online intake form that captured necessary client and matter details, automated data validation, and direct integration with their existing practice management software. The system automatically created matter files, assigned tasks, and notified relevant team members.

The new system provided a single source of truth for client intake information, eliminating duplicate data entry and reducing errors. Automation of routine tasks freed up administrative staff and allowed attorneys to engage with new clients faster. Sterling Chambers reported a 30% improvement in intake speed and enhanced client satisfaction scores.