Founding Engineer

Founding Engineer (Legal AI / Evidence Intelligence) @ Pivot

Move beyond chat. Build Evidence Intelligence.

Learn more: 

About Pivot:

The legal system has plenty of evidence but little 
structured insight
. While most tools focus on "AI chat" and simple retrieval, Pivot is building a new category: 
Evidence Intelligence
 - an AI-native intelligent operating system for law, where evidence connects, reasoning is transparent, and justice is more accessible.

We're starting in 
Family Law
 where fragmented messages, PDFs, statements, emails, photos, and reports are currently slow and expensive to organise and use effectively.

Pivot's core idea:

From documents to relationships - the graph is the case.

We're building a three-layer product:

• Agent (access)
   – task-focused legal workflows, not generic chat.
• LLM (intelligence)
   – model-agnostic reasoning with deterministic orchestration.
• Evidence Graph (knowledge)
   – structured, multimodal evidence with provenance, gating, audit trails, and human review.

We're now looking for a 
Founding Engineer
 to own this stack end-to-end and help define both the category and the product.

The role:

As Founding Engineer, you will be the technical counterpart to the founder and help turn early demand into a robust product. This is a hands-on role with significant ownership.

You will:

• Design and build the 
  Evidence Graph
   - ingesting unstructured, multimodal evidence (documents, email, chat logs, images) and modelling relationships between entities, timelines, and issues.
• Implement 
  deterministic agent flows
   – DAG-style workflows that orchestrate LLMs, tools, and graph queries with explicit gates, audit logs, and human-in-the-loop checkpoints.
• Ship the first production-ready 
  "Evidence Layer" starter
   that firms can deploy, validate value on real matters, and pay for.
• Work directly with early 
  Family Law partners
   to co-design workflows: bundling, chronology building, disclosure review, and case preparation.
• Set up the 
  foundational infrastructure
   – repos, environments, CI/CD, observability, security, data governance.
• Shape the 
  technical culture
   - coding standards, architecture decisions, hiring bar, and how we balance speed vs. safety in a legal context.
• Help pitch investors and customers by making the technical vision legible: you're comfortable jumping into meetings and whiteboarding the system.

What you might work on in the first 6-12 months:

• Build an ingestion pipeline that can take a messy folder of PDFs, emails, and message exports and turn it into a 
  navigable evidence graph
   with entities, events, issues, and citations.
• Prototype and productionise 
  LLM + retrieval + graph
   flows that are:
• fully cited,
• reproducible, and
• auditable (what was run, when, on which data, using which model).
• Implement 
  matter-level access controls
  , redaction workflows, and guardrails aligned with court expectations.
• Design the first set of 
  north-star metrics
   into the product: time-to-bundle reduction, paralegal-hour savings, citation coverage, and redaction escape rate.
• Collaborate on a client portal for B2B2C: giving clients visibility into their evidence and case progress without overwhelming them. You will be a great fit if you:

You will be a great fit if you:

• Have 
  5+ years
   building production software, ideally in 
  legal tech
   or early-stage startups.
• Have shipped 
  LLM-powered products
   used by real users (e.g. RAG, tool-calling, agent-style workflows).
• Are comfortable across the stack: backend (TypeScript/Node or Python), data (Postgres), basic graph modelling, and cloud (AWS/GCP/Azure) with solid security practices.
• Care about 
  correctness and auditability
   - tests, logs, metrics, and reproducible pipelines are non-negotiable for you.
• Can turn ambiguous 
  legal workflows
   into clear flows, APIs, and interfaces.
• Enjoy working directly with 
  lawyers, paralegals, and ops
   and iterating quickly.
• Want a 
  0→1, high-ownership
   founding role.

Bonus:
 experience in legal tech, e-discovery, evidence management, litigation tools, knowledge graphs, or information retrieval.

What we offer:

• Founding-level equity
   - meaningful ownership in the company and category you're helping to create.
• Competitive salary relative to stage (happy to share rough ranges early in the process).
• A chance to 
  define a new category
   (Evidence Intelligence) and see your architectural decisions turn into the reference standard.
• Direct partnership with the CEO and CTO, early customer access, and visibility with investors.
• Remote-friendly, with overlap in UK/Europe time zones.

How to apply:

• Via LinkedIn:

• Click the apply link in this LinkedIn post.

• Via email:

• Email 
  
   with:
• Subject: 
  Founding Engineer @ Pivot
• A short intro (Who you are, what you do, and what makes you a strong match for this role)
• Links/attachments (CV and LinkedIn, GitHub/portfolio if relevant)