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Filevine is a top-rated cloud-based case management solution for small and midsize legal firms and legal professionals.
The Role
The role involves building ML analytics pipelines, leading LLM evaluations, collaborating on data engineering, creating dashboards, and defining operational guidelines.
Summary Generated by Built In
Filevine is a Legal AI company delivering Legal Operating Intelligence for the future of legal work. Grounded in a singular system of truth, Filevine brings together data, documents, workflows, and teams into one unified platform—where modern legal work happens with clarity and consistency.
Powered by LOIS, the Legal Operating Intelligence System, Filevine connects context across every matter to transform legal operations from reactive to proactive. LOIS reads, understands, and reasons across your data to surface insight, automate complexity, and give professionals the clarity and confidence to see more, know more, and do more. Fueled by a team of exceptional collaborators and innovators, Filevine’s rapid growth has earned AI awards and recognition from Deloitte and Inc. as one of the most innovative and fastest-growing technology companies in the country.
Role Summary:
We're a team of driven, enthusiastic problem solvers with strong backgrounds in machine learning, engineering, product management, legal and operations, on a mission to help attorneys resolve cases faster, for better outcomes. With two established ML teams pushing boundaries in transcription, NLP and GenAI applications, we're now building a critical analytics layer to ensure operational excellence, quality assurance, and continuous improvement across all our AI systems.
Responsibilities
- Build ML operations analytics tracking pipeline health, costs, latency, and quality metrics across all services
- Lead production LLM evaluation initiatives, designing custom metrics, quality monitoring and LLM observability in general
- Drive development efforts in collaboration with different ML teams based on analytics outputs
- Collaborate with our data annotation team on prompt engineering and evaluation dataset creation
- Help with curating the Filevine dataset
- Create actionable dashboards and insights for ML teams and leadership
- Help define SLAs, cost optimization and failure prevention strategies for our ML pipelines
Qualifications
- 3+ years in data science, ML operations, or analytics engineering
- Experience with LLM evaluation frameworks and quality metrics design
- Strong Python, SQL, and data visualization skills
- Knowledge of prompt optimization techniques
- Deep understanding of latest trends in LLMs and their production deployments
- Excellent communication skills in English to translate technical metrics into business insights
- Collaborative mindset with ability to work across machine learning teams
This opportunity is for independent contractors and is not intended to establish an employment relationship. Contractors are responsible for their own taxes and compliance with applicable laws in their jurisdiction.
This role is open exclusively to candidates currently residing in, or willing to relocate to, Czechia or Slovakia with the legal right to work in these countries. Unfortunately, we are unable to consider applications from candidates based outside of these locations due to operational and regulatory requirements
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Filevine will handle your personal information according to what’s outlined in our Privacy Policy.
Skills Required
- 3+ years in data science, ML operations, or analytics engineering
- Experience with LLM evaluation frameworks and quality metrics design
- Strong Python, SQL, and data visualization skills
- Knowledge of prompt optimization techniques
- Excellent communication skills in English to translate technical metrics into business insights
- Collaborative mindset with ability to work across machine learning teams
- Ability to meet periodically in our Prague office as we value in-person collaboration
Filevine Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Filevine and has not been reviewed or approved by Filevine.
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Healthcare Strength — Health coverage is described as covering the major bases (medical, dental, vision) and is often framed as decent quality. In some cases, premiums and copays are portrayed as relatively favorable, suggesting tangible value from the plans.
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Parental & Family Support — Paid parental leave is positioned as a standard, clearly offered benefit. The presence of parental leave alongside disability coverage signals baseline family-support provisions typical of growth-stage tech employers.
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Fair & Transparent Compensation — Compensation is sometimes framed as fair or reasonable relative to role expectations, with technical roles in particular appearing closer to market-aligned ranges. This creates pockets where pay is perceived as competitive even if not consistently top-of-market across the company.
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The Company
What We Do
Filevine is case management software built for and inspired by real attorneys. As a fully-featured suite of tools, it comes ready to manage every part of a moving case. Assign tasks, upload files or images, monitor staff productivity, and communicate with your client directly from within their case file. Our software is built on the truth that every law firm functions differently. That’s why Filevine is so customizable. Build new case-type templates, design automatic workflows, and receive customized reports on a schedule that fits your needs. Accessing your information is never a problem, because Filevine is hosted on The Cloud. To ensure security, your law firm’s data is protected through state-of-the-art encryption on redundant servers. All you need to get started is an internet connection and your favorite web browser. Learn more at filevine.com.
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