Shoosmiths

Shoosmiths relied on manually curated precedent banks scattered across file shares and email threads, meaning lawyers spent hours searching for the right clause or historic advice. Before any AI agent could deliver reliable results, the firm also had to clean up duplicate files, outdated templates, and inconsistent SharePoint metadata.

The firm integrated Microsoft 365 Copilot into Word, Outlook, and Teams, using Azure AI Search and vector embeddings over SharePoint content to turn its precedent library into a semantic knowledge base. Custom Copilot Studio agents were built on top — including "Contract Guardian" to review incoming third-party drafts and flag non-standard clauses, and a "Due Diligence Accelerator" to extract key terms from contract sets — with a human-in-the-loop approval layer in Teams for high-risk items.

Across a 12-month pilot with 200 lawyers, contract review cycle times for standard NDAs and supplier agreements fell 62%, legal research time dropped 40%, and first-draft generation of legal memos improved from an average of 6.2 hours to 1.9 hours. Client satisfaction scores for transactional work rose 12 points and lawyer-reported work-life balance satisfaction improved meaningfully.

• Data governance (deduplication, consistent metadata, practice-area/jurisdiction tagging) had to precede AI rollout for the agents to return reliable, jurisdiction-relevant answers.
• A human-in-the-loop review layer in Teams caught real errors, including two documented cases of Copilot misapplying English precedent to a Scottish force majeure clause, before they reached clients.
• Efficiency gains cut against the billable-hour model, pushing the firm toward alternative fee arrangements and fixed-fee pricing.