AI Agent Operational Lift for Formerly Freeborn & Peters Llp (now Part Of Smith, Gambrell & Russell, Llp) in Chicago, Illinois

Why AI matters at this scale

Formerly Freeborn & Peters LLP, now part of Smith, Gambrell & Russell, LLP, is a full-service corporate law firm with a strong Chicago heritage and a 201-500 employee footprint. The firm operates in a highly competitive mid-market legal landscape where clients increasingly demand faster turnaround, cost predictability, and tech-enabled service delivery. At this size, the firm lacks the massive IT budgets of global BigLaw firms but faces the same client pressures. AI adoption is no longer optional—it is a strategic lever to differentiate, retain talent, and protect margins as the billable hour model erodes.

Mid-sized firms sit in a sweet spot for AI: they have enough structured data (precedents, contracts, time entries) to train effective models, yet are agile enough to deploy new workflows without the bureaucratic inertia of mega-firms. The recent merger amplifies this opportunity, as integrating two firm cultures demands standardized, efficient processes that AI can enforce. The primary risk is cultural resistance from partners who view AI as a threat to leverage-based profits. A well-governed, human-in-the-loop approach is critical.

Three concrete AI opportunities

1. Contract Lifecycle Intelligence

Deploy a secure generative AI layer over the firm's document management system (likely iManage or NetDocuments). Attorneys can query thousands of legacy contracts to extract obligations, renewal dates, and non-standard clauses in seconds. This turns static document stores into dynamic risk management assets. ROI comes from reducing contract review time by 60-80% and enabling new fixed-fee advisory products for key clients.

2. Litigation Strategy Engine

Build a retrieval-augmented generation (RAG) system trained on the firm's historical briefs, deposition transcripts, and judge-specific rulings. When preparing for a motion, an associate can ask the engine to draft arguments that align with a particular judge's past preferences, complete with citations to the firm's own winning precedents. This institutional knowledge capture prevents brain drain and shortens ramp-up time for new associates, directly improving realization rates.

3. AI-Powered Business Development

Integrate relationship intelligence AI into the firm's CRM (likely Salesforce or a legal-specific tool). The system scans news, SEC filings, and client emails (with permission) to alert partners when a client's business event—like a merger, lawsuit, or regulatory change—creates a legal need. This transforms reactive service into proactive client advisory, deepening trusted-advisor status and generating cross-selling opportunities.

Deployment risks

The gravest risk is a data breach that waives attorney-client privilege. Any AI tool must operate in a fully isolated, encrypted environment with zero data retention by the model provider. Equally important is managing the cultural shift: partners accustomed to leveraging large associate teams for document review may resist tools that cannibalize billable hours. The firm must redesign compensation models to reward efficiency and client outcomes, not just hours logged. Finally, over-reliance on AI without rigorous verification invites malpractice claims, as hallucinated case citations have already embarrassed practitioners. A mandatory verification protocol and AI competence training are non-negotiable safeguards.