The Next Generation of Legal Tech: AI Agents That Enhances Your Practice

Challenge: Tax litigation advice was constrained by limited precedent samples, subjective impressions, and time/budget restrictions. Lawyers spent 17% of working time (20-40 hours/month) on fragmented legal research across multiple databases. The TFJA (Mexican Federal Administrative Justice Court) had 800,000+ public precedents across fragmented portals in different formats, making comprehensive analysis nearly impossible. Questions like 'In how many similar cases did Chamber X uphold a particular tax credit?' required days of manual work without complete coverage.

Solution: Built SentencIA on Karini AI's Agentic Platform using AWS services (Amazon Bedrock, Amazon Textract, Amazon Neptune, Amazon OpenSearch) to ingest and analyze 800,000+ TFJA precedents in real-time. The platform extracts 50+ entities and relationships per document (judges, chambers, case types, outcomes, evidence), creates knowledge graphs, and enables natural language queries in Spanish. Features include case similarity matching, outcome probability estimation, magistrate analytics, and evidence mapping.

Challenge: Manual contract review for corporate clients was time-consuming and inconsistent. Senior associates spent 60-80 hours per week reviewing standard agreements, leading to bottlenecks, delayed closings, and high associate burnout. Inconsistent risk identification across different reviewers created liability exposure.

Solution: Deployed Karini AI's Contract Review Agent to automatically analyze contracts against firm playbooks and client-specific requirements. Multi-agent system identifies deviations, flags risks, suggests negotiation points, and generates redlines based on precedent transactions and client preferences.

Challenge: Traditional due diligence in M&A transactions required teams of associates to manually review thousands of documents over 4-6 weeks, creating deal timeline pressures and high costs. Critical risks were sometimes missed in the volume of materials, and cross-document analysis was limited.

Solution: Implemented Karini AI's Due Diligence Agent to automatically process and analyze data rooms containing 50,000+ documents. The system extracts key contracts, identifies material obligations, maps regulatory risks, and generates comprehensive reports with issue categorization and severity scoring.