Top Legal Tech Jobs

The Paralegal will support attorneys in real estate finance transactions, manage complex projects, interact with clients, and perform various paralegal tasks.

Responsible for driving the technical roadmap, developing prediction models, collaborating across teams, and mentoring new talent while delivering data-driven insights.

Lead end-to-end enterprise implementations of the Anecdotes GRC platform, translating customer needs into scalable, product-based solutions. Configure and tailor the platform, coordinate cross-functional teams, manage multiple projects, act as an internal SME, and drive successful adoption and optimization for enterprise customers.

Build and scale RL environments, evaluation harnesses, and data pipelines that convert millions of court filings into contamination-free benchmarks and training tasks. Integrate with partner harnesses and model APIs, collaborate with attorneys to translate legal workflows into scorable tasks, and run large-scale, sandboxed evaluations.

As COO, lead operational execution, streamline processes, empower teams, ensure customer focus, and manage financial objectives to drive growth.

Provide administrative support to attorneys by managing case files, preparing legal documents, coordinating meetings, and conducting legal research, while ensuring compliance and confidentiality.

This job involves submitting your resume for future job openings at Milyli, with no specific responsibilities detailed.

Provide transaction support to Finance and Real Estate attorneys: prepare signature pages, draft and proofread documents, file UCC financing statements, manage closing documents, order lien searches, interact with clients/outside counsel/DTC, and organize transactional files while meeting billing targets.

Design and implement front-end features, build high-quality user interfaces, take ownership of product and architecture decisions, collaborate with engineering team, and deliver performant, user-focused solutions.

Lead full‑stack engineering efforts to architect and build front-end and back-end systems, integrate LLMs, RAG pipelines and AI agents, drive technical strategy, collaborate with customers and founders, and ship production AI-enabled features.