Professional services - law, accounting, consulting, advisory - runs on two assets: people's time and accumulated judgment. AI in this space isn't about replacing the senior partner; it's about giving every junior associate the leverage of the firm's collective memory. I build tools that compress hours of document review into minutes while keeping the human in charge of the inferences that actually matter.
Retrieval-augmented generation is the foundational pattern. The firm's playbooks, prior memos, contracts, deal precedents, and audit workpapers are the moat - the gold is in the corpus, not the model. I design RAG systems with chunking strategies tuned to document type (clause-level for contracts, section-level for memos), hybrid retrieval combining BM25 and semantic search, and aggressive citation requirements so every generated answer can be traced back to a source paragraph.
Document processing is where the unsexy engineering work lives. PDFs are the world's worst data format, and most legal/finance documents arrive as scans of scans. I build ingestion pipelines using OCR (AWS Textract, Google Document AI, Azure Form Recognizer), layout-aware parsing (Unstructured, Reducto), and entity extraction to turn unstructured filings into queryable records. The extraction quality determines the system's ceiling - bad ingestion makes great retrieval impossible.
Confidentiality is non-negotiable. Attorney-client privilege, audit work-product protections, M&A confidentiality - these aren't compliance checkboxes, they're the foundation of the client relationship. I architect platforms with strict tenant isolation, no cross-firm training, ephemeral context for foundation models, and clear data residency. Increasingly, firms want zero-data-retention agreements with their model providers - Anthropic, OpenAI, and Azure OpenAI all support this, but the architecture has to be designed for it from day one.
The workflow integration is where adoption actually happens. A brilliant AI tool that lives in a separate browser tab dies. The wins come from embedding inside iManage, NetDocuments, Clio, or whatever the practice management system is - generating drafts directly into Word, surfacing comparable clauses inline in the document, pre-filling the time entry from the work product. I help firms architect the integration layer so the AI feels like a natural extension of the tools associates already use. See a legal AI build or reach out to discuss your firm's roadmap.