Automated Flight Risk & Retention Scoring in Law Firms

AI flight risk scoring integrates real-time timekeeping, matter profitability, and utilization data from your practice management platform to calculate weekly risk scores that surface at-risk associates before they depart. The model weights operational signals - declining utilization, assignment to unprofitable matters, billing write-offs, and peer departure clustering - against firm-specific benchmarks so HR can intervene with targeted retention actions. Unlike annual engagement surveys, this approach detects risk as it emerges operationally, giving you weeks or months of lead time to reallocate work, adjust compensation, or strengthen mentorship before a timekeeper has already started interviewing.

Yes, within the limits we're honest about. All data ingestion occurs through encrypted API connections to your existing systems (Elite 3E, Aderant, iManage), and scoring runs in a dedicated environment for your firm - never on shared infrastructure. All timekeeper data is treated as confidential firm information, and the design respects your obligations under attorney-client privilege and state bar ethics rules. No vendor can honestly promise absolute security, so don't take our word for it - ask to see our data-processing terms and put them in the contract before you sign.

Plan for a working system inside the first 100 days. Weeks 1-3 involve data mapping and system integration with your practice management platform; weeks 4-8 focus on model training using your historical timekeeping and attrition data; weeks 9-10 include UAT and HR team training on the dashboard and intervention workflows; and weeks 11-14 cover go-live and calibration. A rollout like this is scoped to show measurable results - validated risk scores and initial retention interventions - within 60 days of production launch, with model accuracy improving as the system learns from your firm's specific attrition patterns.

Four feeds: timekeeping and billing data from your practice management platform, matter assignment and profitability records, HR records, and your firm's historical attrition data. The most predictive signals live in the financial systems, not the HR ones - write-offs that quietly cut effective compensation, drift toward unprofitable matters, leverage ratios deteriorating in a practice group. If any of those feeds are locked behind partner-only access or kept in unstructured formats, we flag it during data mapping, because the model is only as good as what it can see.

That is your call, and we recommend making it deliberately rather than by default. The system reads operational data your firm already records - timekeeping, matter assignments, billing write-offs - not private communications, and you can exclude any field from the model. Every intervention still requires human approval, so nothing reaches an associate except a partner or HR deciding to act. Most firms position it internally the way it actually works: a tool that helps leadership notice when a good associate is being overworked or overlooked before they start taking calls from other firms.

No. Your current team stays - this is about the roles you have not posted yet. The system does the cross-referencing HR was doing by hand: pulling timekeeping, billing, and matter data weekly, scoring risk, and drafting intervention options. Your HR team and practice group leaders keep every judgment call - who gets a conversation, when, and what the firm offers. What changes is that HR stops learning about a departure when the associate gives notice.

A survey captures what an associate is willing to say, once a year, weeks after the survey closes. Operational data captures what is actually happening, every week: utilization sliding, work drifting toward low-margin matters, write-offs eating effective compensation. Those signals move long before anyone updates a resume - and they are the same signals an experienced practice group leader would spot if they had time to watch every timekeeper's numbers every week. The system does that watching, so the retention conversation happens while there is still something to fix.