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Research, briefings, and product intelligence

Original research on the structural shift from outsourced legal services to supervised AI agents. Weekly market intelligence, white papers, product deep dives, and competitive analysis.

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LATEST
THE INTAKE — WEEKLY BRIEFING
This week in AI, for legal — 21 August 2026
OpenAI paused its largest training run this week after an early Astra model crossed a "Critical" cybersecurity threshold — the first time a frontier lab has treated its own safety framework as an operational stop. In legal AI, Harvey rebuilt its platform around Memory, DeepJudge and Legora agreed to trade institutional knowledge both ways, and iManage struck a governed-data pact with Thomson Reuters. Elevate bought the AI tool that plans legal matters instead of building one, and a new benchmark priced structured legal context at 48% off the cost of a correct answer.
8 min read
THE FLANK METHOD
Our point of view
The legal department of the future

A point of view, and a practical guide, on building a legal function that is no longer the bottleneck. The routine work runs on supervised agents. The lawyers do the work that needs a lawyer.

01Legal is a bottleneck — the wrong people do the work 02The fix is less work reaching the lawyer, not a faster lawyer 03Stay involved only enough to own the output 04What is left is the work that always needed a lawyer
Read the Method →
THE BLUEPRINT
Interactive · under 3 minutes
What could you hand to an agent?

Knowing that agents can do routine legal work is not the same as knowing which of your team’s work they could take on, or what to do first. Answer a few questions about where the time actually goes, and get a blueprint written against your answers — yours to keep, save as a PDF, and share with your team.

01Say where your team’s time goes 02Mostly clicking — nothing to write 03Your blueprint, on screen
Build your blueprint →
What comes back
  1. What could leave your desk
  2. Getting more from what you have
  3. Worth exploring next
  4. What your finance team would look at
  5. Common pitfalls to avoid
  6. How it works in practice
01 — Research

White papers and market analysis

Long-form research on the economics, architecture, and competitive dynamics of AI in enterprise legal. Each piece is written to inform purchasing decisions and strategic planning.

02 — Learn

Explainers and practical guides

Foundations for legal teams getting to grips with agentic AI — how the technology actually works, how to evaluate providers, and what adoption looks like in practice. Start here if you're new to the space. Want a structured programme for your team? Explore Flank Workshops, or browse the webinars.

FLANK WORKSHOPS — LEARNING TRACKS
Flank Workshops: learning tracks for the legal department of the future
A syllabus, not a slide deck. Expert-led learning tracks that take legal and legal ops teams from "what even is AI" to building, supervising, and measuring agents in production. Delivered in person — and available online — by Flank's legal engineers, forward-deployed team, and legal ops partners.
In-person & online workshops
LEARN — TECHNICAL FOUNDATIONS
Under the hood: how AI and agentic AI actually work
What a large language model actually is, why it hallucinates, what makes an agent an agent, and what it takes to make any of it reliable enough for contract work. A plain-English lesson for GCs and legal ops leaders, adapted from the live session by Flank's CTO.
Technical explainer
LEARN — EVALUATION
The GC's guide to evaluating agentic legal services
A framework for enterprise legal leaders assessing whether autonomous agents belong in their team's operating model, and how to evaluate providers without getting lost in the hype.
Evaluation framework
LEARN — ADOPTION
What changes when you replace your ALSP with agents
A practical guide for legal teams already outsourcing routine work to an ALSP. What stays the same, what changes operationally, and why the economics shift in your favour.
Practical guide
THE INTAKE — MARKET GUIDE
10 best AI agents for in-house legal teams
The chatbot era is over. In 2026, the question isn't whether AI can answer a legal question — it's whether AI can do the work. A survey of the ten most significant AI agent platforms for enterprise in-house legal.
Market guide
03 — The Intake

Weekly briefings

View all briefings →

Published every Thursday. The structural developments in legal AI that matter for enterprise legal teams — funding rounds, regulatory shifts, product launches, and the questions they raise. The three most recent issues are below — browse the full archive or subscribe on Substack to receive it by email.

THE INTAKE — WEEKLY BRIEFING
This week in AI, for legal — 21 August 2026
OpenAI paused its largest training run this week after an early Astra model crossed a "Critical" cybersecurity threshold — the first time a frontier lab has treated its own safety framework as an operational stop. In legal AI, Harvey rebuilt its platform around Memory, DeepJudge and Legora agreed to trade institutional knowledge both ways, and iManage struck a governed-data pact with Thomson Reuters. Elevate bought the AI tool that plans legal matters instead of building one, and a new benchmark priced structured legal context at 48% off the cost of a correct answer.
21 August 2026
THE INTAKE — WEEKLY BRIEFING
This week in AI, for legal — 14 August 2026
Harvey and Legora both went back to investors this week, reportedly chasing valuations of $15.5B and above $10B within days of each other. Harbor launched an AI implementation arm built only for law, days after Mayer Brown put its own name behind an AI verification layer and Relativity gave lawyers a conversational interface across the full matter record. And the UK government opened its first AI regulatory sandbox to a single industry: legal services, aiming to make legal work faster and more affordable.
14 August 2026
THE INTAKE — WEEKLY BRIEFING
This week in AI, for legal — 7 August 2026
Harvey becomes the first legal AI agent certified against AIUC-1, a standard barely a year old, days after a growth investment from Goldman Sachs and J.P. Morgan. What those signals actually establish for a legal team is a narrower question. OpenAI's next model, Astra, quietly solves ten open problems in mathematics with proofs a machine can check. The EU and California both let AI transparency rules land exactly on schedule while pushing the harder high-risk obligations to December 2027. And Crosby, the AI-native law firm, moves to insure its own agents so they can work without a lawyer signing off first.
7 August 2026
04 — Product

Product deep dives

Technical overviews, security documentation, and detailed explanations of how the platform works. Written for the people evaluating, buying, and implementing.

05 — Competitive intelligence

Comparisons

Honest, detailed comparisons with other platforms in the market. What they do, what we do, and where the real differences are.

Subscribe

The Intake

Weekly briefings on what's actually changing in legal AI — the market shifts, regulatory moves, and structural questions that matter for enterprise legal teams.

Subscribe on Substack
Flank

Insource legal work to supervised agents

Enterprise legal teams use Flank to handle high-volume contracting end-to-end — NDAs, MSA redlines, procurement, triage. Agents that know your templates, terms, and escalation rules.

Learn more at flank.ai