The operational bottlenecks law firms leaders bring us.
A single commercial contract takes an average of 3.2 hours for manual review. Multiply that across hundreds of agreements per quarter and the bottleneck becomes the firm's biggest constraint.
E-discovery for a mid-size litigation matter can cost $20,000 to $100,000 or more. Most of that spend goes to reviewers reading irrelevant documents to find the ones that matter.
Partners write down 10-15% of billed time because entries are vague, duplicated, or misallocated. Manual time tracking rewards poor recordkeeping over actual work performed.
Associates spend 20-30% of their time on research tasks, searching through case law, statutes, and secondary sources. Much of that time is spent on initial orientation rather than analysis.
Firms advising clients across industries and jurisdictions must monitor changes in regulations, filing deadlines, and enforcement actions constantly to avoid malpractice exposure.
The workflows we build most often for law firms operations.
Extract key terms, flag non-standard clauses, compare against playbooks, and generate redline summaries. Reduces first-pass review time by 70-90% per contract.
Classify, prioritize, and code documents using trained models that learn from reviewer decisions. Cuts review costs while improving consistency across large document sets.
Capture billable activity from emails, documents, and calendar events. Suggest accurate time entries and flag potential billing guideline violations before invoices go out.
Surface relevant case law, statutes, and regulatory guidance from natural language queries. Summarize holdings, flag superseded authorities, and trace citation networks in seconds.
Probate cases involve mountains of paperwork, strict deadlines, and coordination across courts, beneficiaries, and financial institutions. AI is helping law firms manage estate settlement more efficiently without missing critical filing dates.
Elder law involves navigating complex benefits eligibility rules and asset protection strategies. AI helps attorneys screen clients for benefits, model protection strategies, and manage compliance.
Construction lien priority disputes involve analyzing filing dates, statutory requirements, and competing claims across multiple parties. AI helps attorneys navigate this complex analysis.
Cannabis law involves navigating a patchwork of state regulations that change constantly. AI helps law firms track regulatory developments and maintain compliance across jurisdictions.
Family law financial disclosures are complex documents that often contain inconsistencies and omissions. AI helps attorneys analyze these disclosures more thoroughly.
Paragraph IV patent certifications in Hatch-Waxman litigation require detailed analysis of patent claims against proposed generic formulations. AI accelerates this technically demanding work.
