Work Smarter, Not Harder: Top 5 AI Prompts Every Legal Professional in Chile Should Use in 2025
Last Updated: September 5th 2025

Too Long; Didn't Read:
Chilean legal professionals should use five structured AI prompts in 2025 for memo, outline, list and table outputs, enforcing provenance, inline citations and scope limits to comply with the AI Bill and CMF NCG 541 (July 23, 2025). Training: 15‑week bootcamp; cost $3,582/$3,942.
Legal professionals in Chile face a fast-moving mix of opportunity and obligation: AI can collapse hours of document review into minutes, but the country's pioneering AI Bill - built on EU-style risk classifications - raises real questions about oversight, liability and automated decision‑making that firms must answer before deploying tools in high‑stakes matters (Chile's AI Bill - JDSupra analysis).
Regional trends show a shift toward risk‑based, human‑rights centered rules and stronger data‑protection duties, so prompts that demand transparency, provenance and scope limits are not optional - they're compliance tools (AI regulation in Latin America - FPF overview).
For Chilean lawyers who need to turn that raw capability into safe, explainable outputs, structured prompt templates and guardrails are a practical first step - skills that the AI Essentials for Work bootcamp teaches through hands‑on prompt writing and workplace use cases (Nucamp AI Essentials for Work bootcamp - Syllabus).
Attribute | Information |
---|---|
Length | 15 Weeks |
Courses included | AI at Work: Foundations; Writing AI Prompts; Job Based Practical AI Skills |
Cost (early bird / regular) | $3,582 / $3,942 |
Syllabus / Registration | AI Essentials for Work - Syllabus & Registration |
Table of Contents
- Methodology - How we built and tested these prompts
- Chilean Case Law Synthesis
- Contract Review - Chilean Law
- Regulatory & Statutory Tracking (Chile)
- Litigation Strategy & Outcome Probability (Chilean forum)
- Client-Facing Explanation (Spanish/plain language)
- Conclusion - Next steps: build a prompt library and guardrails
- Frequently Asked Questions
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Methodology - How we built and tested these prompts
(Up)Methodology hinged on three practical commitments: ground, format, and iterate - all tuned for Chilean matters. Prompts were written to force the model to work from selected evidence (the same “all story evidence / evidence in this draft” approach Everlaw recommends), then mapped to a clear output type - memo, outline, list, or table - so each prompt has an explicit goal, tone and citation rule that reduces hallucination risk (Everlaw Writing Assistant prompt examples).
Testing proceeded in short cycles: craft a concise prompt, run generations against locally scoped datasets (contracts, regulatory filings, case files), review accuracy by tracing every claim back to source text, and refine the prompt until outputs were reliably verifiable.
Reliability and privacy guardrails from Everlaw's governance playbook were applied - limit creativity for factual tasks, require inline citations, and use vendors that commit to zero data retention - so outputs are defensible for use in Chilean practice (Everlaw AI Governance Framework).
Finally, closed‑beta style feedback loops (akin to Everlaw's Deep Dive trials) validated that prompts not only sped up drafting but produced explainable, audit‑ready results that Chilean lawyers can verify against the record.
Format | Primary Use |
---|---|
Memo | Long‑form analysis with inline citations for briefs or motions |
Outline | Structured framework to guide longer drafting or deposition prep |
List | Concise points (e.g., issues, prescriber concerns) with citations |
Table | Organize complex data like timelines, policies, or witnesses |
“Pinpointing facts in a vast corpus is gold and doing it in seconds is game-changing.” - Steven Delaney
Chilean Case Law Synthesis
(Up)Chilean case law synthesis starts with a tight, repeatable workflow: define the jurisdictional scope and time window, harvest primary materials (constitution, statutes, regulations and reported decisions) using curated roadmaps like the Law Library of Congress - Guide to Law Online: Chile and introductory guides such as UIC Law LibGuides - Researching Chilean Law, then force the AI to work only from that bounded corpus so every assertion can be traced back to a primary source (Law Library of Congress - Guide to Law Online: Chile, UIC Law LibGuides - Researching Chilean Law).
Best practice for prompt design - clarity about the desired output, inclusion of jurisdictional and fact context, and iterative refinement - comes straight from legal-AI playbooks and helps avoid stray generalizations when synthesizing precedent (LexisNexis - How to Write Effective Legal AI Prompts).
Because significant material and authoritative texts live in Spanish, require the model to cite the original paragraph or article number and flag translations for lawyer review; that little habit turns a fuzzy one‑page summary into an audit‑ready extract, the difference between trusting a claim and being able to show the exact line in a 200‑page decision - like spotting a seam in a dark carpet when every second counts.
Contract Review - Chilean Law
(Up)Contract review in Chile is a targeted, evidence‑first exercise: prioritise the clauses that drive project risk - confidentiality, indemnities, termination and renewals, change orders, liquidated damages, retention and performance bonds, insurance and any public‑works formalities (permits, written tender requirements) - because errors here change who bears seismic, labour or payment risk on day one (Juro contract review guide - How to review a contract, ICLG: Construction & Engineering Laws in Chile).
Use a playbook and templates to triage low‑risk, repeatable deals and free counsel for bespoke issues; where automation helps, adopt an AI redlining agent that flags risky language and proposes alternative wording with an explanation so reviewers can accept or reject in one click (Juro: Contract redlining and Contract Review Agent).
For version control and precise redlines, specialist comparison tools beat generic chat models: offloading comparisons to a rules‑based tool reduces human error, while experiments show general chat models still miss many edits and can hallucinate changes, so always validate outputs against the record.
The practical payoff is simple: surface the single problematic clause early - like spotting one loose bolt on a scaffold - and negotiations stop becoming a months‑long scavenger hunt.
Tool / Focus | Why it matters for Chilean contracts |
---|---|
Key clauses to prioritise | Confidentiality, indemnities, termination, change orders, liquidated damages, retention, performance bonds, insurance, public‑works formalities (permits) |
Juro - Contract Review & Redlining | Automated clause review, suggested edits and contextual explanations to speed consistent negotiation |
Document comparison (specialist vs chat models) | Specialist tools provide reliable redlines; generic LLM comparisons remain error‑prone and require human validation |
Regulatory & Statutory Tracking (Chile)
(Up)Regulatory and statutory tracking in Chile cannot be an afterthought: the CMF's July 23, 2025 reform (NCG 541) reshapes non‑bank payment‑card rules with a new sub‑acquirer category, interoperability mandates, tighter liquidity/equity floors and sharper reporting duties - items any compliance prompt must surface immediately (Carey summary of NCG 541 CMF reform (July 23, 2025)).
Equally important are outsourcing and cloud conditions under Chapter 20‑7 and the CMF's information‑security regime, which set materiality tests, cross‑border data‑processing criteria and incident‑reporting channels that legal teams should convert into checklist outputs (CMF Chapter 20‑7 outsourcing changes - official CMF guidance, CMF information‑security guidance - CMF InfoSec regime details).
A well‑designed regulatory‑tracking prompt therefore returns: the rule citation, effective date, affected entities, concrete filing or adaptation deadlines (the market is working to tight CMF timelines), and the specific operational obligations to trigger - turning dense rule text into an auditable task list so compliance work feels less like chasing shadows and more like running a coordinated clock‑aware sprint.
Regulation | Key tracking items |
---|---|
NCG 541 (July 23, 2025) | Sub‑acquirer category, interoperability, liquidity/equity thresholds, contract & reporting obligations |
Chapter 20‑7 (Outsourcing) | Materiality assessment, cross‑border data processing conditions, board oversight and due diligence |
NCG 514 / Fintech Law (Open Finance) | API standards, consent rules, implementation timelines for data exchange |
Chapter 20‑10 (InfoSec) | Cybersecurity risk management, incident reporting, protection of critical assets (effective Dec 1, 2020) |
Litigation Strategy & Outcome Probability (Chilean forum)
(Up)Effective litigation strategy in Chile starts with a reality check: the forum is still largely a written civil‑procedure world where documentary proof and the law's fixed probative values matter more than courtroom theatrics, so prompts should force the model to prioritise primary documents, map each fact to its evidentiary weight, and flag gaps that could doom a claim (Chilean civil procedure overview - Global Legal Insights).
Build prompts that answer three concrete questions for any case file: what evidence carries the strongest probative value under Chilean rules, does the plaintiff meet periculum in mora and fumus boni iuris for interim relief, and what realistic timeline and cost exposure to expect (civil claims often take ~two years to final sentence, with the losing party typically bearing costs).
Because ADR and arbitration are widely used and courts show measured deference to international awards, include a branch in the prompt to assess whether arbitration or mediation (sometimes mandatory) improves outcome probability and speeds resolution (Chilean litigation trends and arbitration deference - Chambers Litigation 2025).
A well‑designed litigation prompt therefore behaves like a seasoned clerk: it surfaces the single document or legal hook that will change the odds - like finding the one signed page that decides a two‑year race.
Client-Facing Explanation (Spanish/plain language)
(Up)Para los clientes chilenos, traducir un argumento jurídico en un lenguaje claro no es un lujo: es una obligación de servicio. Use frases cortas, voz activa y verbos concretos en lugar de nominalizaciones - esas construcciones que llenan de “provisión de” y “efectos de” los contratos - y ofrezca siempre una explicación simple entre corchetes para cualquier término técnico; las guías de lenguaje claro muestran cómo reemplazar jargon por palabras como “antes” en lugar de “prior to” o “si” en lugar de “in the event that” (Principios de lenguaje claro para traducciones legales - ATA).
Si un cliente habla español, asegure comunicación directa con un abogado que explique cada paso en español claro para evitar malentendidos culturales y lingüísticos (Abogados en español para clientes hispanohablantes - Visionary Law Group); para equipos bilingües, una guía práctica de vocabulario y frases modelo acelera la atención y reduce riesgo de error (Spanish for Legal Practitioners: guía práctica de vocabulario legal - Amazon).
El resultado: clientes que entienden su opción legal como si leyera el titular de su propio caso, decisiones más rápidas y menos retrabajo en la oficina.
Lenguaje confuso | Equivalente claro |
---|---|
prior to | before |
herein | in this [agreement, document, etc.] |
in the event that | if |
subsequent to | after |
Conclusion - Next steps: build a prompt library and guardrails
(Up)Next steps for Chilean firms are practical and programmatic: build a living prompt library - organized by task (contract review, regulatory tracking, pleadings), risk level and jurisdictional tags - so teams can pull the right prompt in seconds and avoid ad‑hoc, error‑prone queries; apply the ABCDE framework (Audience, Background, Clear instructions, Detailed parameters, Evaluation) to every library entry so each prompt declares role, scope, citation rules and output format (ContractPodAi guide to AI prompts for legal professionals: ContractPodAi guide to AI prompts for legal professionals, Thomson Reuters: writing effective legal AI prompts: Thomson Reuters guide to writing effective legal AI prompts).
Pair the library with simple guardrails: require source citations, redact sensitive identifiers before using public models, log prompt‑outputs for audit, and run regular prompt reviews to measure accuracy and bias; make prompt‑chaining and IRAC‑style reasoning standard for high‑stakes tasks so outputs are explainable and defensible.
For teams that need structured training and templates, the AI Essentials for Work bootcamp teaches hands‑on prompt writing, workplace workflows and guardrails to make prompt mastery repeatable across a firm (AI Essentials for Work syllabus - AI Essentials for Work syllabus - Nucamp).
Attribute | Information |
---|---|
Bootcamp | AI Essentials for Work |
Length | 15 Weeks |
Courses included | AI at Work: Foundations; Writing AI Prompts; Job Based Practical AI Skills |
Cost (early bird / regular) | $3,582 / $3,942 |
Syllabus / Registration | AI Essentials for Work syllabus - Nucamp | Register for AI Essentials for Work - Nucamp |
Frequently Asked Questions
(Up)What are the top five AI prompts every legal professional in Chile should use in 2025?
Five practical prompt types to build into a firm prompt library: 1) Case‑law synthesis: force the model to work only from a bounded corpus (jurisdiction + time window) and cite original paragraph/article numbers; 2) Contract review (Chilean law): evidence‑first redline agent that flags high‑risk clauses (confidentiality, indemnities, termination, change orders, liquidated damages, bonds, insurance, public‑works formalities) and proposes explainable alternative wording; 3) Regulatory & statutory tracking: produce rule citation, effective date, affected entities, concrete filing/adaptation deadlines and specific operational obligations (example: NCG 541, Chapter 20‑7, NCG 514, Chapter 20‑10); 4) Litigation strategy & outcome probability (Chilean forum): map facts to evidentiary weight, assess periculum in mora and fumus boni iuris for interim relief, and estimate timeline/cost exposure (civil claims ~2 years, losing party typically bears costs); 5) Client‑facing explanation (Spanish/plain language): convert legal analysis into short, active‑voice Spanish with bracketed plain‑language glosses for technical terms.
How should prompts be designed and tested so outputs are reliable, explainable and audit‑ready?
Use the ground‑format‑iterate methodology: 1) Ground - constrain the model to a selected evidence set (primary sources, contracts, filings) and require inline citations that reference paragraph/article numbers or document IDs; 2) Format - declare explicit output type (memo, outline, list, table), tone, scope and citation rules up front to reduce hallucination; 3) Iterate - run short test cycles against locally scoped datasets, trace every claim back to the source text, refine prompts until outputs are verifiable. Apply reliability guardrails (limit creative generation for factual tasks, require inline citations, vendor commitments to zero data retention) and validate redlines/version control with specialist comparison tools. Use closed‑beta feedback loops to confirm explainability and accuracy before production use.
What compliance guardrails and operational controls should Chilean firms put around AI use?
Treat prompt design as a compliance control: adopt the ABCDE framework (Audience, Background, Clear instructions, Detailed parameters, Evaluation) so each prompt declares role, scope, citation rules and output format; require source citations and original‑text references; redact sensitive identifiers before using public or multi‑tenant models; log prompts and outputs for audit trails and regular review; prefer vendors that commit to zero data retention; run periodic prompt accuracy and bias audits; and map AI risk to Chile's evolving AI/tech rules (EU‑style risk classifications) to decide human‑in‑the‑loop and liability controls for high‑stakes tasks.
How should AI prompts handle regulatory tracking for recent Chilean reforms like NCG 541?
Design tracking prompts to return an auditable checklist: the regulation citation and date (e.g., NCG 541 - July 23, 2025), effective date, affected entities, concrete filing or adaptation deadlines, and explicit operational obligations to trigger (interoperability, sub‑acquirer rules, liquidity/equity thresholds, reporting duties). Include cross‑references to outsourcing and cloud rules (Chapter 20‑7), fintech/open‑finance items (NCG 514), and information‑security obligations (Chapter 20‑10). Make the prompt produce both a short task list for compliance owners and links/citations to the exact legal text or paragraph for auditability.
Where can legal teams get hands‑on training and templates to build a prompt library and guardrails?
Structured training like the AI Essentials for Work bootcamp teaches prompt writing, workplace workflows and guardrails. Key details: 15‑week program including AI at Work: Foundations, Writing AI Prompts, and Job‑Based Practical AI Skills. Cost: early bird USD 3,582 / regular USD 3,942. The course focuses on building a living prompt library organized by task, risk level and jurisdictional tags, applying ABCDE to each entry, and instituting practical guardrails such as citation rules, redaction practices, output logging and regular prompt reviews.
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Ludo Fourrage
Founder and CEO
Ludovic (Ludo) Fourrage is an education industry veteran, named in 2017 as a Learning Technology Leader by Training Magazine. Before founding Nucamp, Ludo spent 18 years at Microsoft where he led innovation in the learning space. As the Senior Director of Digital Learning at this same company, Ludo led the development of the first of its kind 'YouTube for the Enterprise'. More recently, he delivered one of the most successful Corporate MOOC programs in partnership with top business schools and consulting organizations, i.e. INSEAD, Wharton, London Business School, and Accenture, to name a few. With the belief that the right education for everyone is an achievable goal, Ludo leads the nucamp team in the quest to make quality education accessible