About this role
Would you like to be part of a team that delivers high-quality software to our customers?
Do you enjoy ensuring the quality of software products delivered?
About our Team
LexisNexis Legal & Professional, which serves customers in more than 150 countries with 11,300 employees worldwide, is part of RELX, a global provider of information-based analytics and decision tools for professional and business customers.
About the Role
The Data Scientist Legal AI (Point of Law & Citation)role conduct experiments on large datasets to evaluate the feasibility, results, and performance of NLP& LLM (Large Language Model). This DS make sound engineering decisions and improve software development practices with an eye for performance and reliability.
You will serve as a project owner for two production-focused agents:
Point of Law (PoL) Agent — PoL summary generation, treatment recognition, PoL linking across cases, and leading-case identification/ranking.
Citation Recognition Agent — citation parsing & normalization (parallel citations, pin cites, star pagination), coreference resolution (e.g., Id./supra/“this case”), and entity linking to canonical legal entities.
You are expected to define the scope and deliver end-to-end projects independently, develop team best practices, and mentor junior staff.
What you’ll do
Scoping & roadmap
Translate product/legal needs into measurable technical milestones, acceptance criteria, and evaluation plans.
Own experiment design, baselines, and ablation plans.
Modeling & methods
PoL: long-document understanding and structured extraction (IRAC/issue–rule–application–conclusion), treatment classification, cross-case PoL linking/cluster building, leading-case ranking (Hit rate/MRR/nDCG).
Citation: robust citation parsing & canonicalization, cross-sentence/coref resolution, entity disambiguation/linking to knowledge bases; build and use retrieval/reranking pipelines.
LLMs: prompt engineering, constrained/structured output (JSON schema/Pydantic), tool use/function calling, fine-tuning or post-training, retrieval-augmented generation.
Data & evaluation
Design annotation guidelines; drive high-quality datasets.
Establish and maintain metrics: span-level Precision/Recall/F1, Hit rate/MRR/nDCG, Has-Leading-Case (HLC), hallucination rate, schema-conformance, latency/throughput SLOs.
Lead error analysis and quality reviews with legal experts.
Engineering & delivery
Productionize models (batch & real-time), build retrieval stores (BM25 + vector), A/B testing, monitoring, and drift detection.
Write clear design docs and reproducible pipelines (data → training → eval → serving).
Standards & mentorship
Set coding/eval standards, review PRs, coach junior colleagues, and scale team practices.
Minimum qualifications
Proven ability to independently scope and deliver complex NLP/IR/LLM projects to production.
Strong hands-on experience in several of: information extraction, long-context modeling, coreference resolution, entity linking, retrieval/reranking, LLM structured output and tool use.
Fluency with Python and ML stack: PyTorch/Transformers, spaCy/regex/rapidfuzz, vector search (Faiss/Milvus), SQL/Parquet, Docker/K8s; basic MLOps (Airflow/Prefect, MLflow/W&B).
Expertise in evaluation design and error analysis; comfortable defending trade-offs with metrics.
Preferred qualifications
Prior work on legal text (case law, citations, rules extraction) or adjacent regulated domains.
Knowledge-graph/on-the-fly linking, document clustering, or weak supervision/programmatic labeling.
Experience leading cross-functional efforts with product, engineering, and domain experts.
Track record of mentoring, setting best practices, and improving team productivity.
Level expectations (company-wide definition)
Senior Data Scientist II: defines the scope of a project and executes independently; develops best practices; leads projects and supports training of junior staff.
Work in a way that works for you
We promote a healthy work/life balance across the organisation. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals.
Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive
Working for you
We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer:
- Medical and Life Insurance: Coverage for Medical and life risk.
- Long-Service Award: Recognition for loyalty and dedication.
- Marriage and New Baby Gifts: Celebratory tokens for special life events.
- Festivals and Birthday Gifts: Spreading joy on occasions that matter.
- Annual Medical Check-up: Prioritizing employee well-being through regular health check-ups.
- Flexible Benefits via CIIC Platform: Personalized benefits accessible through a user-friendly platform.
- Paid Time Off: Annual Leave, Flex Family Care Leave, Birthday Leave, Marriage Leave, Compassionate Leave, Medical and Hospitalization Leave, Examination Leave Gazetted Public Holiday
- Family Care leave (Maternity/Paternity Leave and Adoption Leave)
About the Business
LexisNexis Legal & Professional® provides legal, regulatory, and business information and analytics that help customers increase their productivity, improve decision-making, achieve better outcomes, and advance the rule of law around the world. As a digital pioneer, the company was the first to bring legal and business information online with its Lexis® and Nexis® services.
We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location.
We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120.
Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here.
Please read our Candidate Privacy Policy.
We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.
USA Job Seekers: