Case Study: A Laval Law Firm Saves 20 Hours Per Week With AI
A four-lawyer law firm in Laval, specializing in commercial and real estate law, contacted us eight months ago with a common problem: too much administrative work, not enough time for clients. Here’s how their transformation unfolded — and the concrete results they achieved.
The Starting Situation
The firm handled approximately 150 active files simultaneously. Four lawyers, two legal assistants, one receptionist. The problem: the lawyers were spending their evenings and weekends catching up on administrative work. Client consultations were being delayed. Files that should have closed in three months were dragging to six.
The root cause? Document management. Every new client file meant creating folders, tracking deadlines, organizing correspondence, flagging important dates in multiple systems. Two senior legal assistants were managing this for 150 files at once.
The AI Implementation
Month 1: They implemented AI-powered document classification. Every document uploaded was automatically sorted by type and flagged by priority. Deadlines were automatically extracted and synced with their calendar system. Manual file organization time dropped from 45 minutes per file to 5 minutes.
Month 2: Email integration. Every client email was automatically summarized and filed under the correct client. Key action items were flagged. Important dates (court dates, filing deadlines) were extracted automatically.
Month 3: Contract analysis. New contracts were automatically summarized, key terms highlighted, and discrepancies from standard templates flagged. Review time for a typical contract went from 90 minutes to 20 minutes.
Months 4-8: They added predictive systems that flagged which files needed attention soon, which deadlines were approaching, and which clients hadn’t been contacted in 30 days.
The Results
Administrative time per file: Down from 2.5 hours to 0.5 hours — a 80% reduction.
Lawyer availability for clients: Up 20 hours per week across the firm.
File closure time: Average of 3.5 months (down from 5 months).
Revenue per lawyer: Up 15% (same clients, more time per lawyer, faster file closure).
Staff morale: “We stopped doing busywork,” one legal assistant said. “Now I actually have time to call clients and ask if they need anything.”
The Cost
The AI system they implemented costs them $800/month. The staff hours they recovered are worth approximately $15,000/month at standard billing rates.
ROI: The system paid for itself in the first two weeks.
The Lesson
This firm didn’t need to hire more people or turn away clients. They needed to stop drowning their lawyers in administrative work. AI did that. Once that was done, the firm’s existing capacity became visible again.
If you’re a firm struggling with similar problems, you don’t have a capacity problem. You have an efficiency problem — and that’s solvable.
