Enterprise Legal Analytics Digital Worker

Core Logic

The Query Interpreter Agent parses natural language business queries using NLP techniques to extract entities (partners, matters, clients, practice groups), time periods, metrics (realization, collection, WIP), and comparison operators. It resolves ambiguous references using context and legal domain knowledge, generating structured query specifications that downstream agents can execute. The agent maintains conversation context for follow-up queries and clarification requests.

Core Logic

The Compliance Pre-Check Agent validates requested queries against ABA Model Rules, billing guideline confidentiality provisions, and conflict-of-interest databases. It performs pre-flight compliance checks with status outcomes (pass/warning/fail/review_required) and severity levels (low/medium/high/critical). Some checks auto-resolve while others escalate for human review. The agent achieves 96% confidence on compliance determinations with full audit trail logging.

Core Logic

The Data Retriever Agent implements pre-built connectors for Elite 3E and other major practice management systems. It translates structured query specifications into system-specific API calls, handles pagination, applies data quality validation, and normalizes results into consistent analytical formats. The agent tracks data quality scores (achieving 98.7% in typical executions) and flags potential data integrity issues.

Core Logic

The Risk Analyst Agent implements predictive models for multiple risk types: writeoff_risk, compliance_risk, client_risk, and performance_risk. It calculates risk scores (0-1) with confidence intervals for entities including partners, matters, clients, and practice groups. Each prediction includes quantified financial impact (e.g., '$93,000 potential write-off in 30 days') and recommended actions (e.g., 'Schedule partner review, implement prebill checkpoint'). The agent achieves 91% confidence on risk predictions through ensemble model validation.

Core Logic

The Analytics Agent performs comprehensive statistical analysis including time series trend detection, year-over-year comparisons, percentile rankings, and anomaly flagging. It implements self-correction capabilities that cross-validate findings against historical patterns, removing false positives and improving confidence (from 78% to 94% in typical executions). The agent provides feedback to other agents (e.g., highlighting M&A practice with warning indicators for the Visualizer) and tracks impact scores for applied corrections.

Core Logic

The Ethics Agent performs real-time ethics verification throughout the analytics pipeline, checking for privilege implications, conflict indicators, and professional responsibility compliance. It achieves 99% confidence on ethics determinations through rule-based analysis combined with precedent matching. The agent can block or redact outputs that would violate ethics requirements while documenting the basis for each determination.

Core Logic

The Visualization Agent generates charts, tables, and visual dashboards optimized for legal business intelligence communication. It receives feedback from other agents (e.g., Analytics Agent highlighting high-risk practices) and incorporates risk indicators, warning colors, and attention markers into visualizations. The agent achieves 92% confidence on visualization appropriateness through feedback loop integration.

Core Logic

The Insight Generator Agent synthesizes outputs from all other agents into prioritized business intelligence insights. It implements collaborative validation with the Compliance Agent to ensure insights meet billing requirements, generates executive-ready summaries with quantified impact (e.g., 'M&A Practice Realization Decline - $2.1M at risk'), and provides specific recommended actions. The agent achieves 91% confidence through multi-agent consensus validation requiring 85%+ agreement on critical findings.