Professional Services

Client confidentiality is the paramount concern in professional services knowledge management, and our architecture is designed around it. All client-related content is tagged with client identifiers at ingestion, and access controls enforce need-to-know restrictions—an attorney or consultant on Account A cannot access Account B's materials through any search or browse pathway. AI summarization and knowledge extraction creates generic insights from client work without exposing client-specific details. We maintain detailed audit logs of all content access events for professional responsibility compliance. For law firms specifically, our system supports matter-level ethical wall enforcement required for conflict management.

Our contract review AI achieves 94–97% accuracy on standard commercial provisions when trained against your firm's specific playbook. The system is explicitly designed as an augmentation tool, not a replacement for attorney review—every AI-generated redline includes confidence scores and the reasoning behind each suggestion, enabling attorneys to quickly accept, modify, or reject recommendations. We strongly recommend that AI contract output always receives attorney review before client delivery. For learning purposes, attorney corrections feed back into model improvement with appropriate oversight. We do not make accuracy claims that would imply AI can substitute for qualified legal judgment.

We integrate with all leading professional services time tracking systems including Intapp Time, Elite/3E, Aderant, BigTime, Harvest, Toggl, Replicon, and Clockify. For firms without dedicated time tracking, we provide our own automated time capture that uses calendar data, email metadata, and document activity to suggest time entries—reducing the cognitive load of time logging while improving accuracy. Our system also integrates with billing platforms including Thomson Reuters Elite, Aderant Expert, Clio, and NetSuite for end-to-end project financial management.

Our resource management platform operates as a global skills and availability marketplace where project managers can find and request talent from any office based on skills, availability, and cost. Profile data is sourced from HR systems and continuously updated from completed project histories—no manual profile maintenance. For remote and hybrid teams, the platform includes workload balancing tools that prevent individual burnout while ensuring equitable access to high-profile assignments. Skills inference AI analyzes work history to surface expertise that practitioners haven't explicitly self-reported.

All AI processing occurs within our SOC 2 Type II certified, ISO 27001-certified infrastructure with no training on client data—your confidential documents are used only for your firm's own search and analysis, never to train models used by other firms. Data residency controls keep data within your specified geographic region. For law firms, we offer deployment options within your own cloud tenant for maximum control. We sign appropriate confidentiality agreements and support your professional responsibility obligations under MPRE Rules 1.6 and 5.3 regarding supervision of non-attorney assistance.

Project financial intelligence platforms for firms under 200 staff typically go live in 8–12 weeks, including time tracking integration, billing system connection, and dashboard configuration. Knowledge management platform implementation timelines depend primarily on the volume and variety of legacy document repositories—most firms have 60–90 days of content ingestion and indexing before the system reaches its full capability. We use a phased value delivery approach: basic search and project dashboards are available within 4–6 weeks, with advanced AI features activating as the training data accumulates. We assign dedicated customer success managers who ensure adoption targets are met, not just implementation milestones.