How a Toronto law firm cut document review time by 70%
70%
faster document review
16h
saved per paralegal per week
3 weeks
from discovery to production
The Challenge
What they were facing
A mid-size Toronto law firm was drowning in document review. Each new client file required paralegals to manually review hundreds of pages of contracts, correspondence, and legal filings — extracting key dates, parties, and obligations by hand.
The process took 8-12 hours per file and was prone to human error, especially under deadline pressure. Senior partners were spending billable hours reviewing paralegal work instead of advising clients.
The firm had explored off-the-shelf legal tech solutions but found them too rigid for their specific document types and workflows.
The Solution
What we built
We built a custom AI document processor trained on the firm's specific document types. The system ingests client files, identifies document categories, and extracts key information — dates, parties, obligations, deadlines — into structured summaries.
The AI highlights areas requiring human review and flags potential conflicts or missing information. It integrates directly with the firm's existing document management system, so paralegals can review AI-generated summaries alongside original documents.
We included a feedback loop where paralegal corrections improve the model's accuracy over time, customizing it to the firm's standards.
The Results
Measurable impact
70%
reduction in document review time
16h
saved per paralegal per week
<1%
error rate after 30-day calibration
3 weeks
from discovery to production
Discovery to production in 3 weeks. Full calibration completed within 30 days.
“We thought AI was years away from being useful for our work. This changed how we handle every new file.”
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