Legal.
16 real jobs AI can take on for a legal team - most of them inside the licence you already pay for. The colour on each card is the kind of AI; the line at its foot is what it takes to get it.
THE COLOUR IS THE KIND OF AI — AUTONOMY RISES LEFT TO RIGHT
The line at the foot of each card is what it takes to get it - a free chatbot, the licence you already pay for, or a build.
If these words are new, the homepage walks the whole spectrum →
Advisory services.
Navigating legal precedents, relevant case laws, and past litigations can be time-consuming and lead to slower response times and less strategic foresight in legal counsel.
An engaging compliance training video is scripted and storyboarded in days, lifting completion and recall across the workforce.
Try it in your own AI
- Context: Compliance training completion at [company] is [state] because the material reads like the regulation it teaches. I want a short video people watch to the end.
Objective: From the policy below, write the script: [length] minutes, built on scenarios someone would recognise from their own week (draft three and pick the strongest), with the rules landing as consequences in the story rather than a list at the end. [Paste the policy.]
Style: Script with scene directions; a recap under 60 seconds at the end.
Tone: Human and slightly wry - never jokey about the serious bit.
Works in a free chatbot
Infringements are spotted, risk-ranked and met with drafted enforcement action, protecting brand value with a full audit trail.
✓ In your licence - assembled once, then it runs. We set these up →
Patents, trademarks and licences are filed, conflict-checked and renewed on time, so no asset lapses or slips through the cracks.
✓ In your licence - assembled once, then it runs. We set these up →
New regulation is researched, mapped to existing policy and turned into preliminary advice in hours rather than days.
Try it in your own AI
- Context: [Regulation/update] has landed and [business area] at [company] is asking what it means for them by [when]. Our current policy is below.
Objective: Map the new requirements against our policy: what we already satisfy, what gaps exist and how big they are, then draft the preliminary advice with the caveats clear - what needs proper counsel review versus what's safe to act on now. [Paste the regulation summary and the policy.]
Style: Gap table, then the advice note; caveats in the note itself, not a footnote.
Audience: Business readers - requirements in operational terms, not statutory language.
✓ In the licence you already pay for
Contracts.
Managing contracts is akin to navigating a paper jungle, where critical details can be buried under stacks, making the process slow, error-prone, and inefficient.
Contracts are summarised, compared against standard terms and turned into counsel-ready briefing notes, cutting review time sharply.
Try it in your own AI
- Context: I'm in-house at [company]. The contract below needs review against our standard positions before [date] - the risk is the clause that reads normal and isn't.
Objective: Compare it against our standard terms: every deviation with its risk and a suggested redline, ranked by what we'd never accept versus what's negotiable, plus the summary for the business owner. [Paste the contract and our standard terms.]
Style: Deviations as a table with redlines drafted; the owner summary in five lines.
Audience: The summary is for a commercial reader - deal impact, not clause numbers.
✓ In the licence you already pay for
Negotiation points are captured live, benchmarked against comparable deals and drafted into a term sheet ready for sign-off.
Uses your suite's meeting AI - how this lands varies by licence.
Try it in your own AI
- Context: We're negotiating [a licensing deal] at [company] - [one line on subject and stage]. The meeting notes and comparable deal terms are below.
Objective: Capture the live positions - agreed, open, traded so far - benchmark the open points against the comparables, and draft the term sheet as it currently stands with the open items bracketed. [Paste the notes and comparables.]
Style: Position tracker, then the draft term sheet.
✓ In the licence you already pay for
Renewals, approvals and versions are tracked automatically in one repository, so nothing expires unnoticed and audits stay clean.
✓ In your licence - assembled once, then it runs. We set these up →
Uploaded contracts are checked against templates, risky clauses flagged and alternative wording suggested for faster legal sign-off.
✓ In your licence - assembled once, then it runs. We set these up →
Contracts are reviewed end to end with disputes logged straight into the legal system and a counsel-ready brief produced.
✓ In your licence - assembled once, then it runs. We set these up →
Litigation.
Litigation without data-driven and AI-enhanced tools can lead to prolonged case durations and increased costs where document discovery is inefficient and incomplete.
Vast case files are mined for relevant arguments and precedents, producing tailored briefs and slashing billable research hours.
Try it in your own AI
- Context: I'm working on [matter] at [firm/company] - the issue is [one line]. The case files below are large and the useful passages are a small fraction of them.
Objective: Mine them: the passages that bear on [the issue] with citations, the precedents they invoke, which support us and which cut against us, and the outline of the strongest argument the material supports. [Paste or attach the files.]
Style: Findings grouped for and against, every claim pinned to its source; the outline last.
Tone: Dispassionate - I need the weaknesses more than the comfort.
✓ In the licence you already pay for
Public and internal case data is aggregated and analysed to surface past tactics and shape a fresh, evidence-based strategy.
Try it in your own AI
- Context: We're in [dispute] at [company] - [one line]. Below is our case data plus what's public about [opponent]'s past litigation.
Objective: Read their pattern: how they've run similar cases (settle early, fight, delay), which arguments they reuse, where they've lost - then set out our strategic options with the risk of each, grounded in that evidence. [Paste the material.]
Style: Their pattern first, then our options as a table.
Tone: Cold-eyed; label inference as inference.
✓ In the licence you already pay for
Day in the life.
See how people can use your AI assistant to perform common tasks throughout their day to save time, generate value, and improve their wellbeing.
A corporate counsel drafts, reviews and manages legal work across the day with an AI assistant handling the heavy lifting.
Try it in your own AI
- Context: I'm corporate counsel at [company]. Today's queue below is the usual mix - two contracts, a policy question, an exec 'quick question' that isn't.
Objective: Triage it and start it: what's genuinely urgent versus merely loud; first-pass reviews of the contracts (deviations only); the policy answer with the one caveat that matters; the exec answer in three sentences with the fuller note attached. [Paste the queue.]
Style: Triage first, drafts after.
✓ In the licence you already pay for
A principal counsel creates and manages complex legal content faster, freeing time for higher-value advisory work.
Try it in your own AI
- Context: I'm principal counsel at [company] on [complex matter]. The document below is long, positions have shifted between versions, and the working group meets [when].
Objective: Bring the group current: what changed between versions and why it matters, the positions still open and who holds them, and my speaking note - where we concede, where we hold, what we trade. [Paste the versions and notes.]
Style: Changes as a table, then the speaking note under a page.
✓ In the licence you already pay for
A product counsel moves through reviews, advice and stakeholder work with an AI assistant smoothing every step.
Try it in your own AI
- Context: I'm product counsel at [company]. The team wants to ship [feature] on [date]; the spec is below and legal review is the last gate, which means it's today.
Objective: Review the spec: the issues by area (privacy, terms, claims, IP), each rated blocker / fix-before-ship / monitor, with suggested fixes the team can act on. Say what's fine, too. [Paste the spec.]
Style: Issues table with ratings and fixes; the all-clear items listed at the end.
Tone: A colleague clearing the path, not a gate.
✓ In the licence you already pay for
A paralegal speeds through research, document prep and case support, turning routine legal tasks around in record time.
Try it in your own AI
- Context: I'm a paralegal at [firm/company]. Counsel needs [the research / the bundle] by [when]; the source material is below.
Objective: Do the assembly: the documents organised as requested, a summary per document in the format below, gaps flagged wherever a document is missing or incomplete, and the index. [Paste the materials and the required format.]
Style: Exactly the requested format; gaps at the top, not buried.
✓ In the licence you already pay for
A product counsel tackles a full day of drafting and advisory work with an AI assistant accelerating each task.
Try it in your own AI
- Context: I'm product counsel at [company] and the recurring drain is [e.g. reviewing marketing claims]. The batch below is this week's.
Objective: Review the batch against our claims rules: pass, fix or stop for each, the fix drafted where one's possible, and a note on any claim that keeps recurring - so we fix the template, not the instance. [Paste the batch and the rules.]
Style: Verdict table, fixes inline, the pattern note last.
✓ In the licence you already pay for
Most of these run on the licence you already pay for.
The gap is that nobody's pointed it at the job yet. That's the work we do, and it starts with a half-hour call - bring the one that looked most like your week and we'll tell you whether it's a quick win or a proper build. No licence yet? We'll help you pick one first.
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