Knowledge & Research

Legal Research Agent

Case law search, contract summarisation, clause-by-clause risk flagging for law firms and counsel.

Features

5

Tech

11

Steps

5

AI Agent

Legal Research Agent

Production-readyObservable
Anthropic Claude 4.7
OpenAI GPT-5
Westlaw API

Capabilities

What this agent does

Every capability is shipped end-to-end — not a feature flag. You get a working slice on day one and we expand from there.

Feature 01

Citation-grade research

Pulls actual case law with paragraph-level pin cites.

Feature 02

Clause-by-clause review

Flags non-standard or risky language in seconds.

Feature 03

Multi-jurisdiction

various jurisdictions, UK, US, EU — knows which rules apply.

Feature 04

Draft suggestions

Proposes standard fall-back language for rejected clauses.

Feature 05

Confidential by default

Self-hosted or zero-retention mode for privileged matter.

Stack

11 technologies we use

Production-tested tools chosen for reliability, observability, and developer velocity. Every piece is swappable.

Anthropic Claude 4.7OpenAI GPT-5Westlaw APILexisNexisCourtListenerHarvey-style RAGLlamaIndexpgvectorPineconeVercel AI SDKPostgreSQL

System at a glance

How the agent flows

A simplified view of what comes in, what the agent does with it, and what it produces. Each arrow is observable end-to-end.

Inputs

User questionIndexed documentsPermission context

Agent

Legal Research Agent

Plan → tool-call → reflect, with approval gates.

Tools the agent calls

Anthropic Claude 4.7OpenAI GPT-5Westlaw APILexisNexisCourtListenerHarvey-style RAG+5 more

Outputs

Cited answerSource linksFollow-up suggestions
Every step traced in Langfuse / Braintrust · cost + latency monitored · full replay on failure · human-in-the-loop where it matters

Engagement

How we roll it out

A 5-step process from kickoff to handover. Every step has a deliverable you can sign off on.

  1. 01

    Jurisdiction setup

    Configure source databases and authority hierarchy.

  2. 02

    Firm style training

    Train on your firm's prior drafting and memos.

  3. 03

    Pilot on closed matters

    Validate output quality against known-good cases.

  4. 04

    Workflow integration

    Plug into your DMS (iManage, NetDocuments) + Word.

  5. 05

    Ongoing oversight

    Senior associate spot-checks; flagged outputs improve the model.

Outcomes

What you can expect

Real numbers we see when Legal Research Agent ships on top of an actual workflow. Specifics vary with starting baseline, data quality, and scope — but these are the ranges.

Outcome 01

−85%

Lookup time

From minutes searching to seconds answering with citation.

Outcome 02

92-97%

Answer accuracy

Against ground-truth Q&A set, tuned over 6-8 weeks.

Outcome 03

10K+ docs

Source coverage

Per workspace, with permissioning and version awareness.

Sample use cases

What this looks like in practice

Three concrete scenarios where teams deploy Legal Research Agent today. Your engagement starts with one of these (or your own variant) and expands from there.

01

Onboarding new hires in 1 week

Engineers ask the bot anything about the codebase, runbooks, or product — answers cite the exact doc + line. Ramp time drops from 3 weeks to under 1.

02

Legal due-diligence acceleration

A counsel team uploads 200+ contracts. The agent surfaces non-standard clauses, missing indemnities, expiry windows — saves 60+ hours per quarter.

03

Cross-team policy clarity

HR + Finance answer 'can I do X?' questions from the workforce automatically, with permission-aware retrieval — sensitive policies stay private.

Typical engagement

From kickoff to live in 4-8 weeks

Most Legal Research Agent engagements follow this shape. We give you a firm quote after a 30-minute scoping call, and the price is fixed up-front so you can budget.

2-3 weeks

Pilot

  • Discovery + playbook write-up
  • Tool design + guardrails
  • Eval suite + sandbox deploy
Core

2-4 weeks

Production

  • Hardened deploy on your stack
  • Observability dashboard + alerts
  • Two-week supervised mode

Ongoing

Handover & support

  • Runbook + team training
  • Monthly tuning + eval review
  • Pause or expand any time

Indicative range

$2,000 — $5,500

Full project, scoped + fixed up-front. Includes pilot, production, and 30 days of post-launch support.

Or hire us by the week

from $750/wk

Embedded retainer — best for evolving scopes.

Ready to ship Legal Research Agent?

Tell us about your data, your tools, and what success looks like. We come back within one business day with a clear plan, price, and timeline.

Get started

Ready to ship the software your business actually runs on?

Tell us what you're building. We respond within one business day with a clear plan, price, and timeline.

16 industry CRMs shipped96+ clients · 14 countriesRemote-first · Global delivery