Aderant Introduces AI-Powered Evaluation and Employee Performance Intelligence in vi by Aderant
New embedded capabilities deliver clearer performance insight, stronger evaluation quality, and enable smarter staffing decisions for law firms
The new AI-driven evaluation tools strengthen both the performance evaluation drafting and review process. Built directly into existing workflows, they help firms elevate evaluation quality, reduce administrative burden, and translate performance feedback into more informed staffing and development decisions.
AI-Powered Employee Performance Evaluations
New AI-powered capabilities enhance the creation and review of employee evaluations by reinforcing evaluation standards and surfacing structured performance insights. Firms can drive greater consistency across evaluation cycles while ensuring feedback meaningfully supports development and advancement decisions.
Real-Time Sentiment Analysis
As evaluators draft feedback, AI analyzes their tone and language, flagging content that may be unclear, inconsistent, or misaligned. These proactive suggestions improve submission quality, reduce time spent on manual revisions, and promote balanced, constructive evaluations before they are finalized.
Auto-Summarization for Faster Reviews
Firm leaders have instant access to concise summaries of individual or aggregated evaluations, which are automatically generated as part of the evaluation process. During high-volume review periods, these summaries reduce the time required to interpret feedback, allowing leadership to focus on decisions rather than manually consolidating and summarizing evaluations.
“Evaluations play a central role in how firms develop talent, manage risk, and allocate work,” said
In addition, viAllocate now includes matter-based evaluation workflows embedded in talent operations which capture performance feedback tied to specific matters or projects and make that context available for staffing considerations. This gives firms greater visibility into demonstrated experience without adding administrative overhead.
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By embedding AI within critical talent workflows, vi by
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