Legal Solutions Architect
Listed on 2026-10-10
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IT/Tech
AI Engineer (Applied/Software), IT Consultant, IT Business Analyst
Partner with lawyers practice groups and business stakeholders to identify and prioritize AI and legal technology opportunities Translate legal workflows and business requirements into solution designs and author technical design documents that carry them through architecture security and governance review Design end-to-end AI-enabled solutions that enhance legal service delivery knowledge management research drafting and operational efficiency Build prototypes and proofs of concept to validate solution designs before committing engineering resources Collaborate with Product Managers and Engineers to define requirements prioritize features and guide delivery Evaluate emerging AI legal technology and automation capabilities and recommend practical applications for the firm Ensure solutions align with architecture security governance privacy and responsible AI standards Lead workshops discovery sessions and user testing to validate requirements and drive adoption Drive continuous improvement by identifying opportunities to scale standardize and enhance legal technology solutions
For individuals assigned and or hired to work in New York and California Freshfields is required by law to include a reasonable estimate of the compensation range for this role This compensation range is specific to the States of New York and California and takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets experience and training licensure and certifications and other business and organizational needs The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled and compensation decisions are dependent on the facts and circumstances of each case A reasonable estimate of the current range is 325 000 to 375 000 EEO Statement Freshfields US LLP is proud to be an equal employment employer Our policies and practices will be free from unlawful discrimination based upon race color ethnicity religion creed sex including pregnancy childbirth or related medical conditions national origin citizenship immigration status ancestry age marital status protected veteran status military service disability medical condition genetic information sexual orientation gender identity or any basis prohibited under federal state or local law We strive to promote an atmosphere that encourages equal opportunities and prohibits discriminatory practices including sexual harassment
Disability Accommodation for Applicants to Freshfields US LLP Freshfields US LLP is an Equal Employment Opportunity employer and provides reasonable accommodation for qualified individuals with disabilities and disabled veterans in job application procedures If you have any difficulty using our online system and you need an accommodation due to a disability
UK Inclusion Freshfields is an equal opportunities employer and all applications received by the firm will be considered by the firm on the basis of their merit alone and we welcome applications from all suitably qualified individuals regardless of background All offers of employment will be conditional on the candidate having secured the right to work in the UK and providing the firm with evidence of that right as required by the Immigration
Freshfields is a Ban the Box employer We ask applicants to disclose criminal convictions only when a conditional job offer is made A conviction does not automatically lead to withdrawal of the offer we make decisions on a case by case basis and take a number of factors into account eg the role you are applying for and the circumstances of the offence You would have the opportunity to discuss the matter with us before we make a decision
Hands-on experience integrating LLM APIs across one or more enterprise providers, such as Azure OpenAI, Google Vertex AI or Anthropic, including structured outputs, tool use, streaming, retries, rate limits, model versioning and cost controls. Understanding of traditional ML models and algorithms Hands-on track record working with Python in a professional environment Development & Dev Ops:
Hands-on experience with git/git-flow, containerization (Docker) and CI/CD pipelines (ideally Azure Dev Ops) Communication:
Strong English communication skills to engage with cross-functional stakeholders Experience with retrieval-enabled and agentic document workflows, including repository navigation, hybrid…
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