Jason Wiener
Legal contract drafting
Bespoke financing deals took a full week to draft. AI now generates the first pass, cutting delivery time to just one day.
- Term sheet delivery cut from 1 week to 1 day
Manual reviews left blind spots. AI now detects overlooked risks, delivering utility from day one of the pilot.
One of Atlantic Canada’s largest law firms needed to modernize its practice to meet increasing client expectations for speed and accuracy.
Previous technology pilots suffered from implementation delays and poor adoption, while manual contract reviews left even experienced partners...
“At McInnes Cooper, Spellbook isn’t just speeding up legal work — it’s helping lawyers deliver sharper insights and more value to clients.”
Canadian business law firm providing corporate and litigation legal services.
AI copilot for legal contract drafting and review directly in Microsoft Word.
McInnes Cooper's Legal contract review is part of this use case:
Related implementations across industries and use cases
Bespoke financing deals took a full week to draft. AI now generates the first pass, cutting delivery time to just one day.
Lease review took days of associate time. AI now synthesizes facts in minutes, freeing 40 hours per case for strategy.
Tracing issues across hundreds of contracts took days. AI now synthesizes the history from bulk files in hours.
Attorneys resisted standalone tools. Embedded in Word, AI now cuts contract review to 10 minutes and saves lawyers 7+ hours weekly.
Manually hunting for clauses in scattered playbooks consumed half of review time. Now, AI handles first-pass reviews and instant queries.
Infrastructure compliance checks took months. Now, engineers use AI to parse massive datasets, cutting final review cycles by up to 90%.
Teams manually transcribed complex 300-page tax forms. Now, a specialist annotates one page and AI trains custom extraction models.
Manual PII review across complex spreadsheets risked regulatory delays. Deloitte used AI extraction to boost review efficiency 50-60%.
Manual entry bottlenecked service contracts. Now, AI extracts handwritten text and validates against SAP, routing deviations to humans.
Manual reviews left blind spots. AI now detects overlooked risks, delivering utility from day one of the pilot.
One of Atlantic Canada’s largest law firms needed to modernize its practice to meet increasing client expectations for speed and accuracy.
Previous technology pilots suffered from implementation delays and poor adoption, while manual contract reviews left even experienced partners...
“At McInnes Cooper, Spellbook isn’t just speeding up legal work — it’s helping lawyers deliver sharper insights and more value to clients.”
Canadian business law firm providing corporate and litigation legal services.
AI copilot for legal contract drafting and review directly in Microsoft Word.
McInnes Cooper's Legal contract review is part of this use case:
Related implementations across industries and use cases
Bespoke financing deals took a full week to draft. AI now generates the first pass, cutting delivery time to just one day.
Lease review took days of associate time. AI now synthesizes facts in minutes, freeing 40 hours per case for strategy.
Tracing issues across hundreds of contracts took days. AI now synthesizes the history from bulk files in hours.
Attorneys resisted standalone tools. Embedded in Word, AI now cuts contract review to 10 minutes and saves lawyers 7+ hours weekly.
Manually hunting for clauses in scattered playbooks consumed half of review time. Now, AI handles first-pass reviews and instant queries.
Infrastructure compliance checks took months. Now, engineers use AI to parse massive datasets, cutting final review cycles by up to 90%.
Teams manually transcribed complex 300-page tax forms. Now, a specialist annotates one page and AI trains custom extraction models.
Manual PII review across complex spreadsheets risked regulatory delays. Deloitte used AI extraction to boost review efficiency 50-60%.
Manual entry bottlenecked service contracts. Now, AI extracts handwritten text and validates against SAP, routing deviations to humans.