Retrieval & ranking: Implement and iterate domain‑specific retrieval and reranking algorithms that go beyond standard methods, including the use of knowledge graphs and custom workflows.
LLM‑powered products: Design and build robust, production‑grade LLM systems and chatbots that serve legal research needs.
Signals & features: Design scoring features based on citations, authority, recency, jurisdiction, section/paragraph structure, and intra‑document anchors.
Practical considerations: Evaluate trade‑offs such as API vs. self‑hosted options; add batching, early‑exit, and caching to control cost and latency.
Evaluation: Define offline evaluation sets, run quick ablations, and monitor production feedback and dashboards to guide shipping decisions.
Search infrastructure: Tune indices, analyzers, and embeddings; manage recall/precision trade‑offs and de‑duplication/near‑duplicate suppression.