Evaluate and improve AI-generated fund-related legal work by drafting, reviewing, negotiating, and redlining fund documents; develop evaluation frameworks and scoring rubrics; collaborate with product, research, and engineering teams to refine AI training data and legal guidelines; identify contractual risks and provide expert legal feedback.
This role is for one of our clients
$90 - $130/hourpay
Role Title: Funds Attorney
Role Type: Contractor
Location: Remote
We are seeking experienced Funds Attorneys for a part-time opportunity at the intersection of legal expertise and artificial intelligence. This role is ideal for accomplished legal professionals with experience in investment funds who are interested in helping shape the next generation of AI-powered legal solutions.
Leveraging your expertise in drafting, reviewing, negotiating, and redlining fund-related agreements, you will evaluate AI-generated legal work, contribute to the development of high-quality training data, and help improve how AI systems interpret legal language, identify contractual risks, and support sophisticated legal decision-making.
RequirementsKey Responsibilities
- Perform simulated negotiations and redlining exercises involving investment fund documentation.
- Review and evaluate AI-generated responses to fund-related legal scenarios, providing detailed feedback to improve model accuracy and legal reasoning.
- Develop structured evaluation frameworks, scoring rubrics, and quality standards for assessing AI performance on fund formation and transactional legal tasks.
- Collaborate with multidisciplinary product, research, and engineering teams to refine AI training datasets, legal guidelines, and best practices.
- Apply practical legal judgment to identify contractual risks, drafting issues, and negotiation strategies within complex fund documentation.
- Contribute subject matter expertise to improve AI systems designed for legal research, contract review, and transactional analysis.
- Juris Doctor (J.D.) from an ABA-accredited law school.
- Active bar membership in at least one U.S. jurisdiction.
- Minimum 2 years of experience in the Investment Funds practice group of a corporate law firm.
- Strong familiarity with investment fund documentation, including Limited Partnership Agreements (LPAs), Subscription Agreements, and Side Letters.
- Excellent written and verbal communication skills with exceptional attention to detail.
- Strong analytical and critical thinking abilities with the capability to translate legal expertise into structured, actionable feedback.
- Demonstrated interest in legal innovation and emerging technologies.
- Experience collaborating with cross-functional teams in fast-paced, dynamic environments.
- Previous experience working with AI, legal technology platforms, or AI training and evaluation projects.
- Experience advising private equity, venture capital, hedge funds, or other investment fund sponsors.
- Familiarity with legal operations, contract lifecycle management (CLM) platforms, or enterprise legal technology solutions.
Similar Jobs
AdTech • Big Data • Digital Media • Software
Designs and reviews security architecture, performs threat modeling and cloud assessments, responds to incidents, manages security tools, and advises engineering teams on secure development. Conducts code and vulnerability reviews using OWASP and MITRE ATLAS, evaluates AI and LLM security risks, and supports security monitoring, risk assessment, data protection, and compliance across applications, infrastructure, and endpoints.
Top Skills:
AWSC++DastGoogle SecopsHmacIso 27001IspmJavaLinuxmacOSMitre AtlasNist CsfOauthOwaspOwasp Top 10 For LlmsPythonSAMLSastScalaSoc 1Soc 2SoxSplunkTenable CloudWazuhWindows
Fintech • Legal Tech • Software • Financial Services • Cybersecurity • Data Privacy
Leads the architecture, design, deployment, and operation of enterprise middleware messaging and streaming integrations. Designs multi-region, multi-datacenter platforms with geo-replication, failover, high availability, fault tolerance, and low-latency performance. Evaluates messaging technologies, establishes deployment and monitoring standards, automates infrastructure, collaborates with stakeholders, and mentors junior engineers. The role requires extensive experience with Kafka, RabbitMQ, cloud messaging services, Kubernetes, Docker, clustered environments, and resilient high-volume systems.
Top Skills:
ActivemqApache KafkaAws SnsAws SqsAzure Service BusDockerElasticGcp Pub/SubIbm MqKafka StreamsKubernetesRabbitMQRedpandaStreamnative
Artificial Intelligence • Cloud • Sales • Security • Software • Cybersecurity • Data Privacy
Leads SailPoint’s Data and AI Platform Engineering organization, setting technical strategy and managing engineering teams responsible for large-scale data processing, machine learning infrastructure, streaming, data governance, search, and distributed systems. Oversees platform roadmaps, architecture, delivery, reliability, stakeholder collaboration, talent development, and thought leadership across technologies including Flink, Spark, Snowflake, Iceberg, Airflow, and OpenSearch.
Top Skills:
Apache AirflowApache FlinkApache IcebergSparkAWSDbtGoogle Cloud PlatformJavaAzureOpensearchPythonScalaSnowflake
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
